Abstract
The emergence of publications on extracellular RNA (exRNA) and extracellular vesicles (EV) has highlighted the potential of these molecules and vehicles as biomarkers of disease and therapeutic targets. These findings have created a paradigm shift, most prominently in the field of oncology, prompting expanded interest in the field and dedication of funds for EV research. At the same time, understanding of EV subtypes, biogenesis, cargo and mechanisms of shuttling remains incomplete. The techniques that can be harnessed to address the many gaps in our current knowledge were the subject of a special workshop of the International Society for Extracellular Vesicles (ISEV) in New York City in October 2012. As part of the “ISEV Research Seminar: Analysis and Function of RNA in Extracellular Vesicles (evRNA)”, 6 round-table discussions were held to provide an evidence-based framework for isolation and analysis of EV, purification and analysis of associated RNA molecules, and molecular engineering of EV for therapeutic intervention. This article arises from the discussion of EV isolation and analysis at that meeting. The conclusions of the round table are supplemented with a review of published materials and our experience. Controversies and outstanding questions are identified that may inform future research and funding priorities. While we emphasize the need for standardization of specimen handling, appropriate normative controls, and isolation and analysis techniques to facilitate comparison of results, we also recognize that continual development and evaluation of techniques will be necessary as new knowledge is amassed. On many points, consensus has not yet been achieved and must be built through the reporting of well-controlled experiments.
Keywords: extracellular vesicle, exosome, microvesicle, standardization, isolation
Extracellular vesicles (EV) have garnered considerable attention because of the specific mechanisms whereby they are actively released from cells; their involvement in cell-to-cell signalling; and their utility as markers of disease (1–12). Extracellular RNA (exRNA) is carried and protected within the extracellular milieu by EV and other vehicles, such as protein complexes (13, 14) and lipoprotein particles (15, 16). This RNA includes microRNA (miRNA), transfer RNA (tRNA), ribosomal RNA (rRNA), messenger RNA (mRNA), and additional structural and non-coding RNAs (17, 18). Although some RNAs may be incorporated non-specifically, there is growing evidence for enrichment of certain RNA species in specific vesicle types (1, 17, 18). Along with other EV-associated molecules, specific EV exRNAs may participate in signalling processes and serve as molecular signatures of disease.
Nomenclature
EV are a heterogeneous group, and the nomenclature is still being defined and refined by the research community (19–21). This process will likely continue for the foreseeable future because of the many outstanding questions associated with biogenesis, uptake and other processes (22). For example, “exosomes” have classically been defined as originating from the endosomal compartment by fusion of multivesicular bodies (MVB) with the plasma membrane, whereas “microvesicles”, “ectosomes” or “shed vesicles/particles” have been thought to originate by direct budding from the plasma membrane (16, 23). In the literature, exosomes are often described as smaller than 100 nm in diameter, while microvesicles are considered to be larger than 100 nm (7, 16, 24). However, the strict separation of these vesicle types by size or biogenesis has not been established beyond doubt (25–27), and there is currently no consensus on markers that distinguish the origin of these vesicles once they have left the cell (25). As numerous participants in the ISEV workshop noted, there is little evidence that particles less than 100 nm in diameter cannot bud from the plasma membrane, and EV with exosome markers may be larger than 100 nm in size. In terms of biogenesis and markers, retroviral particles are in reality a type of EV that may be exemplary of a blurring of identity of the classic “exosome” and “microvesicle” (25, 27–30). In using the term EV to describe all classes of extracellular membrane vesicles, we recognize that the future will likely bring increased specificity of terms used in this emerging field and that consensus does not yet exist.
Biofluids
EV are present in biological fluids (31, 32). At least some EV are associated with exRNA molecules, in which case the RNA may be referred to as evRNA. EV have been isolated from biofluids including pleural effusions (33), plasma (34, 35), ocular effluent and aqueous humor (36), breast milk (35, 37), ascites (38, 39), amniotic fluid (40, 41), semen (“prostasomes” and “epididymosomes”) (42–50), saliva (35, 41, 51, 52), nasal secretions (53), cerebrospinal fluid (CSF) (54), bronchoalveolar lavage (BAL) (55–57), synovial fluid (58–65), bile (66) and urine (67, 68). EV are commonly recovered from cell culture-conditioned media (69–71). Vesicles have also been recovered from dissociated tissue [e.g. adipose tissue (72) and thymus (73)]; however, it is difficult to establish the extracellular nature of these vesicles, as the recovered materials can also comprise intracellular vesicles released during the tissue dissociation process.
EV in biological fluids – and the molecules associated with them, including RNA – may be used diagnostically for different disease states. Accordingly, they have aroused considerable interest in the research community and studies have been initiated for biomarker discoveries in diseases such as cancers of the urogenital system (bladder, prostate and ureter), melanoma, and ovarian and primary brain tumours. These consortia are based on early explorations of the utility of EV RNA of prostate-specific antigen (PSA), prostate cancer antigen 3 (PCA3), and the gene fusion of transmembrane protease, serine 2 and Ets-related gene (TMPRSS2: ERG) in the urine of prostate cancer patients (74); the protein claudin-4 in blood EV in ovarian cancer (75); and the epidermal growth factor receptor variant EGFRvIII in gliomas (76). Notable is a multi-institution consortium collaborating to validate the glioblastoma diagnostic CSF biomarker EGFRvIII as well as isocitrate dehydrogenase with a codon 132 mutation (IDH1.132) (76). In parallel with these biomarker trials, the utility of EV isolates for vaccination against cancer includes vaccination trials for melanoma (77) and non-small-cell lung carcinoma (78) using EV from patients’ dendritic cells loaded with tumour antigen-derived peptides, and colorectal cancer with EV from colon cancer patients’ ascites combined with granulocyte-macrophage colony-stimulating factor [GM-CSF (38)]. In addition, a vaccination trial has utilized a group B meningococcal bacterial outer membrane vesicle with similarities to mammalian plasma membrane-derived vesicles (79, 80).
Need for standardization
In the midst of growing interest in EV, technical standardization is of central importance because many methodologies have been used to isolate and analyze EV. Following isolation, a variety of techniques have been employed to purify RNA. The influence of these disparate techniques on the results of downstream exRNA sequencing and profiling remains unclear, raising the need to provide a definition of “best practices” and eventual standardization. As exRNA diagnostic platforms become available, there will be requirements for clinical certification and development of manufacturing standards. Furthermore, pressure will emerge to define and centralize biofluids from normative biological controls.
ISEV 2012 workshop on evRNA
To host discussion and foster progress towards resolving the technical issues of evRNA research, the International Society for Extracellular Vesicles (ISEV) organized a meeting in New York City. Under the leadership of ISEV president Jan Lötvall and Board Member Marca Wauben, the “ISEV Research Seminar: Analysis and Function of RNA in Extracellular Vesicles (evRNA)” was convened on 1–2 October 2012 (81). Following on from the Society's first annual meeting in the spring of 2012 (82), this workshop was attended by an international and experientially diverse group of participants from academia and industry. The format included short presentations as well as 6 round table discussions (Table I).
Table I.
Round table | Topic | Description |
---|---|---|
1 | EV isolation | Pelleting, filtration, density gradient, controls |
2 | RNA isolation | Comparison of different isolation protocols |
3 | evRNA analysis | Hybridization, qPCR, RNase treatment |
4 | evRNA analysis and bioinformatics | Deep sequencing, analysis pipelines, recent developments |
5 | RNA loading and engineered vesicles | Electroporation, loading control, cellular production, targeting |
6 | Analysis of functional evRNA transfer | Reporter systems, physiological read-out systems |
In this article, we summarize the outcome of the ISEV workshop discussions and subsequent communications pertaining to pre-analytical variables in EV research (chiefly derived from topic 1, Table I). We present study design considerations, including planning for appropriate biological normatives, to maximize the utility of EV research projects. Second, we focus on plasma as an example through which to review important considerations in sample collection procedures and processing variables, followed by presentation of challenges specific to a variety of additional biological fluids. We evaluate EV isolation methods and critique quantitative and qualitative methods for EV analysis. Finally, we summarize several suggestions (see also Table II) to guide progress in the field.
Table II.
Resource | Rationale | Details | Resource availability |
---|---|---|---|
Centralized normative control biofluid bank | For rigorous comparison of EV isolation methods, inter-study comparisons, and well-controlled biomarker development | Well-characterized normative matched biofluid samples (e.g. blood, CSF, urine, saliva) with “full disclosure” medical information and other details | Distribution by NIH or other repository; researchers would submit project-specific proposals for access |
Artificial EV spike-in standards | To standardize recovery of EV and evRNA from biofluids; to facilitate independent verification of results | Four or five distinct vesicle sizes, closely mimicking bioparticles; loaded or not with markers (potentially inducible?): fluorescent protein or specific RNA sequences | Commercial or distributed by a repository to consortium members; established laboratories would be available for validation studies |
Additional funding mechanisms for technique and normative control development | Disparity of results is dependent in part on procedural differences that could be resolved | Examples: head-to-head EV isolation comparisons; reproducibility of EV recovery throughout the day; sample volume and recovery studies; methods for determination of cellular/tissue origin of circulating EV | Standard grant application procedures |
Collaborative sample and resource sharing network | Many groups focus on 1 particular type or size of EV or RNA; studies of different EV and evRNAs in the same samples would be useful | Participants could analyze different aliquots of the same biological fluids or send EV/fluids for analysis by laboratories with different focus/expertise | Website and voluntary cooperation |
Study design and normative controls
The goal of EV research projects will influence isolation procedures
EV research can be broadly divided into 3 categories, each of which mandates a different level of quality control and operating procedure. Since many technical protocols exist, some more closely suited than others to particular types of research, it is necessary to select protocols based on the research question.
Discovery research characterizes EV quantity, size, exRNA cargo, proteomics, lipidomics, metabolomics, glycomics and other characteristics in body fluids. To discover candidate biomarkers in general EV populations or those sequestered by size, structure or charge, attention must be paid to reproducibility of the assay, minimization of “non-target” EV (e.g. in some but certainly not all approaches, the broad background of platelet- and neutrophil-derived vesicles) and optimization of assay sensitivity. Thus, isolation protocols are important, but function of isolated EV does not necessarily need to be preserved.
Diagnostic research involves the search for features that are uniquely or quantitatively associated with a disease process. In order to validate the clinical specificity or correlation strength of a marker, selective EV isolation may be imperative, depending on the biofluid. A clinically useful test should offer advantages of increased sensitivity, reduced cost or lowered morbidity when compared to current diagnostic methods when evaluated in a selected patient population and when compared with appropriate population controls.
Preparative research involves the preparation of EV to be given to patients (43) or for mechanistic analyses. This research requires the highest level of standards aimed both to preserve EV function and to selectively purify EV.
Normative controls
There is a need to define biofluid-specific normatives for EV studies as well as standardized methods, research designs and “control groups” that mirror demographics of patients except for disease status. For patients, controls could be relatives accompanying the patient (in particular if they are sex- and/or age-matched individuals), an approach common to epidemiologic case-control studies.
Many factors have known or suspected influence on vesiculation. These include age, gender, body mass index (BMI) and medication use (e.g. oral contraceptives). As yet, no systemic studies have investigated the effect of race- or ethnicity-associated polymorphisms on vesiculation, but, if feasible, it may be advisable to recruit race-matched controls for the investigations. Among women, controls should be selected for pregnant, non-pregnant and multiple pregnancy samples (83). Fasting or postprandial status may affect blood plasma lipoprotein and EV levels (84). Current sickness, including common cold symptoms, should be assessed since acute infection alters circulating cells and RNA (85, 86). Hospitalization and physical activity (e.g. regular training or exercise prior to sampling) should be matched in test and control groups (84, 87–89). Individuals on heparin therapy should be given special attention because of the interference of heparin with reverse transcription and PCR (9) and with EV/recipient cell interaction (90).
Repeated samples from patients may serve as controls not skewed by individual differences (86). Aliquots can be used to validate EV isolation, RNA extraction and assay variability, whereas samples from the same individual drawn at multiple time points can be used for variability testing of a particular EV marker. Emphasis should be placed on matching samples from controls with samples from patients obtained prior to surgical disease diagnosis of cancer or cultured proof of infection. Matched intra-individual pre-disease or pre-infection samples would provide the ultimate baseline for personalized assays. Establishment of pre-disease sample banks for individuals within a healthcare system should be considered carefully, but widespread implementation is unlikely in the near future. In the absence of ideal matched controls, normative samples should be chosen carefully.
Maximizing sample utility in harmony with local and international ethical and legal standards
The collection and use of samples from human subjects are governed by complex systems of regulations and guidelines that often differ by country or other geopolitical entities and even from institution to institution. For example, the Declaration of Helsinki of the World Medical Association and the Good Clinical Practice standard of the International Conference on Harmonisation aim to protect the rights of individuals in medical research, while privacy regulations have been enacted in various locations to control the availability of patient-specific medical information. To maximize the utility of each sample, it may be important to draft applications with the broadest possible language to be compatible with all conceivable experimental and information requirements. International efforts are also needed to construct identified and normative donor pools matched to patient demographics to be studied in harmony with international standards. For example, in George Church's Personal Genome Project (http://www.personalgenomes.org/), donors volunteer personal genomic materials and personal information (91–93).
Sample size determination
Reliance on sound statistics is needed when estimating population sizes by which to “power” study design calculations. That this seemingly obvious consideration bears emphasis is evident from a recent systematic review of miRNA microarray publications (not restricted to EV studies) (94). Almost 40% of reviewed studies drew conclusions from a sample size of just one in at least one experimental group, eliminating the possibility of meaningful statistical analysis (94). Of course, as next-generation sequencing and other profiling techniques can be prohibitively expensive, consortia should be cultivated to achieve larger group sizes.
Database submission
Data submission is mandated by most journals (95, 96) and independent studies have found that unavailability of data is associated with low data or study quality (94, 97, 98); however, compliance remains poor (94, 99, 100). Investigators should plan to provide to a public database (101–103) complete nucleic acid sequencing and profiling data, along with detailed technical and analytical methods. Furthermore, authors are encouraged to submit EV-related molecular data (RNA, protein and lipid) to EV-specific databases Vesiclepedia [104; http://microvesicles.org)] and EVpedia [105; http://evpedia.info/]. Vesiclepedia is a compendium for EV data with continuous community annotation and was created through the efforts of investigators associated with the ISEV. Founding members of the Vesiclepedia have agreed to deposit their data to make it publically accessible.
Sample collection and processing
We begin our review of sample collection and processing considerations by examining the major biofluid, blood. A checklist of information that should be collected is provided as Box 1. Considerations specific to several selected additional biological fluids and tissue culture-conditioned media – each of which has its own compositional complexities – are then provided.
Box 1. A proposed checklist for sample collection and processing.
Background information
Age
Sex
Race/ethnicity
Females: any current pregnancy, gravidity, ovulatory cycle and menopause state
Hospitalization (recent)
Prior or current anticoagulant treatment or coagulopathy
Heparin therapy
Heparinoids
Aspirin
Known clotting disorder of peripheral veins, lung (pulmonary embolus)
Current medication list (Including but not limited to birth control)
Smoker?
Drugs of abuse?
Physical activity-each week
Daily job or home activities
Dedicated physical activity <3 h per week
Physical activity >3 h per week
Sleep pattern (e.g. night shift worker/sleep disturbances)
Last food and fluid intake
Additional dietary details if possible
Sample collection and processing (blood)
Time sample obtained
Needle type/other apparatus used
Anticoagulant(s) and tube types
How many millilitres were discarded at initiation of draw? Was tourniquet removed promptly?
Time interval between draw and centrifugation
Notes on handling (tube kept upright? room temperature?)
Haemolysis and method of assessment
Sample processing details
Rotor type
rcf
k-Factor
time
Sample aliquot details and storage
Were cells obtained? Notes.
Complete blood count?
Flow cytometry panel (specify)?
Other assays performed on blood?
Were additional matched samples collected? (e.g. plasma and serum, urine, nasal secretions, saliva)
Were samples obtained from an accompanying friend or family member as a control (for patients)?
Blood
Choice of plasma or serum
For most studies involving isolation of EV RNA, we encourage biobanking of plasma. Retrieved vesicles are consistently more abundant in sera than in plasma (106), and platelet-derived EV released after blood collection during the process of clot formation (107) may account for over 50% of EV in serum. Thus, although serum certainly has appropriate uses (108), plasma is the physiological medium of EV in the blood. In the majority of published studies on circulating EV, plasma (and not serum) samples were tested. Some participants in the 2012 ISEV workshop noted that, for some research questions, the use of serum – and even the presence of platelet-derived EV released after sample collection – might be desirable. For example, if platelets were to contain disease-specific mutations or nucleic acid profiles, platelet-derived EV might be diagnostic for some diseases, whereas total plasma exRNA might not be diagnostic (109). Since most comparisons of exRNA in plasma and serum have used whole plasma and serum (109–112), not RNA isolated from purified EV, we recommend that additional studies be undertaken to increase our understanding of plasma/serum differences and how they are affected by sample processing protocols.
Choice of anticoagulant
Anticoagulants have one or more modes of action, including calcium chelation, protease inhibition and inhibition of platelet activation. With many anticoagulants available, it is perhaps easiest to make a negative recommendation: use of heparin-based anticoagulants is discouraged. Whether of exogenous or endogenous origin (e.g. from mast cells), heparin is associated with false-negative PCR reads (113–115), presumably because heparin competes with primers and/or enzymes for binding to nucleic acid (116). In addition to PCR inhibition, heparin can bind EV, block EV uptake by cells (90), EV activate platelets (117) or lower the platelet activation threshold (118). Care should be taken to avoid intravascular “lines” with heparin or heparinoid infusions or those “cleared” using these materials, and the heparin treatment status of the patient should be recorded. In the case of valuable archived samples, it may be necessary to extract RNA from heparinized blood products. Detection of nucleic acids has been reported following heparinase treatment (119–121) or through the use of polymerases that are relatively insensitive to inhibitors (119). If EV-associated nucleic acids are found exclusively inside vesicles, extensive washing may also help to remove heparin prior to RNA isolation, but additional studies are needed.
The choice of an alternative anticoagulant – for example EDTA, sodium fluoride/potassium oxalate (NaF/KOx), or sodium citrate with or without additives such as dextrose (ACD) or theophylline, adenosine and dipyridamole (CTAD) – is complicated and might best be guided by the intended downstream assays. CTAD blocks activation of platelets and subsequent EV release (122, 123). EDTA may interfere with PCR reactions (albeit to a lesser extent than heparin), but its presence may be innocuous or even beneficial for other purposes. Thus, it may be useful to collect blood in separate tubes with different anticoagulants. Alternatively, downstream assay reagents may be chosen with the anticoagulant in mind. Different polymerases have different sensitivities to inhibitors (119). Post-collection sample treatment, for example with NaF/KOx, has been described (119), but additional work is needed in this area before firm recommendations can be made. We note that the Scientific Standardisation Committee of the International Society on Thrombosis and Haemostasis has recommended the trisodium salt of citrate for EV studies [see, e.g. (124–126)].
The necessity of choosing an anticoagulant to fit the specific research question is illustrated by a recent report that the use of calcium chelators promotes rapid association of EV with platelets in vitro and thus lowers the apparent count of EV in blood treated with EDTA, ACD or citrate alone (127). This effect was not seen with heparin, prompting the authors of the study to suggest that heparin should be used when accurate EV counts are required (127). However, a previous study concluded that heparin might stimulate the release of EV in vitro (128). We recommend that additional research be conducted and published to resolve the important questions of whether and how specific anticoagulants and combinations thereof (122) affect EV release, function and downstream assays such as PCR.
Venipuncture and handling
Platelets are susceptible to the activation and release of platelet-derived EV by physical forces associated with the blood draw procedure (129), including contact, pressure and shear forces, so standardization of sampling site, needle gauge and other variables is recommended (130). Use of a 21-gauge needle or larger and avoidance of butterfly systems have been advised for venipuncture to minimize shear forces (131). However, butterfly cannulae (132) and smaller needles (133) have been compared with 21-gauge needles with few reported differences (134). Nevertheless, because different studies have examined different markers of platelet activation and little has been published on the effects of draw procedure on platelet-derived microparticles, standardization is essential to ensure study-to-study comparability. Following venipuncture and first accumulation of blood in the collection tube, the cuff should be removed and the first several millilitres discarded because of the activating effects of pressure (133) and contamination by fibroblasts.
Collected blood should be handled gently and processed rapidly. Tubes may be inverted 8–10 times without shaking for proper mixing with anticoagulant. Tubes should then be stabilized and vertically positioned prior to centrifugation with a recording made of bench-top storage time (135), since the interval between draw and centrifugation to remove cells and platelets may be crucial (136). EV may be stable for the first 30 min after draw (127), but lengthy incubation prior to processing results in increased EV levels (136). Additional studies of this parameter would be illuminating.
The circadian system, time of draw and fasting status
Haematologic parameters vary throughout the day (137–139), and slight variations in viscosity have been recognized for several decades (140, 141). Recently, circadian rhythm was found to have a greater effect on platelet activation than 3 stressors including physical exercise (142). Leukocyte trafficking and the presence in circulation of pro- and anti-inflammatory cytokines change throughout the day (143). Large microparticles with specific surface molecules were found to vary with the time of day (144). For these reasons, until there are well-controlled studies designed to explore the effects of diurnal variation on EV, appropriate comparison of results is most easily performed for samples that have been collected at the same time of the circadian day. Additionally, donors with deviation from the normal sleep–wake cycle should be noted. The effects of food intake on EV are not well known, but because lipoproteins carry RNA and food intake affects circulating lipoprotein particle type, number and function (145–147), it may be advisable to draw blood at a defined interval after the last meal. Collection of food intake history could be valuable.
Centrifugation and viscosity measurement/adjustment
Blood should be processed quickly and at room temperature to obtain plasma (or serum, as needed). All samples to be studied should be spun at the same speed and with the same rotor type. The viscosity can be assumed to be roughly the same for most blood samples, but any suspected disease-related departures from the norm should be measured (148) and noted since viscosity has been shown to affect EV pelleting efficiency (149). In the setting of elevated sedimentation rate, hyperviscosity IgM syndromes, cryoglobulinaemia and Waldenström's macroglobulinaemia and monoclonal gammopathy of undetermined significance (MGUS) (150–152) consideration should be given to normalization of viscosity by dilution prior to centrifugation (149). (Note: In contrast with whole blood, which is not usually viscosity adjusted prior to removing cells, it is recommended that at least some cell-free biofluid products are diluted with buffer prior to EV isolation; see EV isolation recommendations below.)
Paired samples and additional data collection
From each sample of blood to be used for EV isolation and analysis, purification of cells is encouraged to facilitate comparison of vesicular characteristics such as lipid, carbohydrate, nucleic acid and/or protein profiles with those of potential cells of origin. (It should be recognized that cell purification requirements cannot be met if gel-barrier Vacutainer tubes are used at the collection step.) Collection of standard cell and metabolic panels is also recommended to maximize the utility of each sample for comparative analyses. For a more exact quantification, in addition to flow analysis of vesicles, flow cytometry of cells using antibodies to blood and other cells should be performed on the cellular fraction recovered from the body fluid. Since EV in the peripheral blood may be derived from sources other than blood cells (153), characterization of endothelial and circulating tumour cells could also be performed. Obtaining multiple biofluids from the same patient is also desirable, for example, matched CSF and plasma samples.
Haemolysis
Haemolysis should be assessed visually and, if necessary, through spectrophotometric and haemoglobin release assays (154). When total exRNA is analyzed, haemolyzed blood products contain higher concentrations of certain RNAs, including miRs-16 and -451 (155). It remains to be determined whether RNAs released in this way will confound the results of evRNA analysis.
Removal of platelets
The extent to which platelets are or should be removed from plasma confounds the literature (123). There are protocols for separation of platelet-rich and platelet-poor plasma [PRP and PPP, respectively, see e.g. (156)], but the definition of PRP varies, and truly platelet-free plasma is difficult to obtain. Centrifugation required to remove all platelets would also eliminate large EV. For filtration, forces applied to expedite the process may result in platelet activation or particle fragmentation. Immunoselection likely does not remove all platelets. The tolerance for platelets and platelet-derived EV must be established for each research question. For example, disease-associated mutations (SNPs, indels, rearrangements) may appear from platelet-derived EV (157). Thus, for certain exRNA mutations in biofluids, platelet removal may be preferred, but for others, preference may be given to inclusion of platelet-derived EV. The same protocol should be followed to isolate all samples compared in each study. It may be helpful to determine and report the initial concentration of platelets in each blood sample, and to use markers to track platelet contamination in EV preparations.
Sample collection and processing from biological fluids other than blood
As noted above, studies of EV in blood products dominate the literature; however, EV are found in and presumably serve important functions in many other biofluids. In this section, we examine several biological fluids and discuss characteristics of these fluids. This section is not a comprehensive catalogue of biofluids or a review of EV research in these fluids, and we do not wish to imply that the biofluids we discuss here – nasal secretions, saliva, urine, breast milk, CSF and the “special case” of cell culture-conditioned medium – are necessarily of greater interest than the many biofluids that are not reviewed. Instead, our purpose is to underline the importance of considering biofluid-specific factors when designing and executing EV studies, from sample collection to EV isolation.
Saliva
Saliva is a complex fluid that includes glycoproteins, antimicrobial compounds and secreted antibodies. It is produced by 3 major paired glands (the sublingual, submandibular, and parotid) and additional smaller glands lining the oral cavity. Relatively few studies have addressed EV in saliva in disease. However, saliva EV may be markers of oral cancer (158) and the autoimmune disease Sjögrens syndrome (159). EV in saliva have been proposed to participate in immune signalling (51), and uptake of these EV by macrophages has been demonstrated (35). Salivary EV have also been reported to enhance wound healing in a novel evolutionary explanation of the “wound licking” phenomenon (52).
Saliva collection
Factors that should be considered in saliva collection include sampling location, time, instructions to participants and collection technique. Since different levels of salivary analytes may be produced by the different glands (160), the location of saliva sampling within the oral cavity may influence results, necessitating standardization within each study and full disclosure of techniques for interstudy comparison purposes. So far, most EV have been analyzed from whole saliva (35, 51, 161). However, EV production and composition might differ between glands, and studies of source-specific saliva, such as the collection of parotid saliva only (162), might be highly important.
Salivary analytes vary diurnally (163), so the time of collection should be standardized. Saliva contents also change with food and drink intake, smoking (164), and in response to stressors including physical activity (165). It has thus been recommended that saliva donors refrain from smoking; from eating or drinking anything except water for 1 h before sample collection; and from strenuous physical exercise prior to collection (166). Because blood contamination could drastically affect apparent saliva content (167), samples should be assessed for the presence of blood. Study participants should not have brushed their teeth within 1 h of collection and should not have undergone dental procedures in the previous days. Any oral disease should be noted. Saliva collection techniques may be separated broadly into stimulated and unstimulated (or passive) sampling (166). For the former, the subject is either given a chemical stimulus or chews on a substance or device to stimulate the release of saliva, which may be drooled or spit into a container or collected with an absorbent material (a “salivette”). Location of collection within the oral cavity is important since the glands differ in their relative contribution to stimulated saliva (168). In passive sampling, the donor empties the mouth of saliva that collects during a defined period of time in the absence of stimulation. How stimulation affects EV production and composition is not currently known, as most studies on saliva EV have been conducted on unstimulated saliva (35, 51, 161). The few studies stimulating saliva production for the analysis of EV have used 0.4–2% citric acid (159, 162).
Sample handling and EV isolation
Collected samples should be kept on ice, and consideration should be given to the removal of cells, bacteria and potential food debris prior to EV isolation. This can be done by low-speed centrifugation and the utilization of 0.2-µm filters. It is important to remember that the use of such filters will eliminate many large EV. Vacuum filter systems may be helpful to use instead of syringe filters, as clogging of these smaller filters are common when working with saliva. As for other viscous body fluids, dilution with PBS is recommended. Isolation of saliva EV has been performed by differential centrifugation (35, 158, 161) and gel filtration (51, 169). We recommend that additional studies be performed, for example, to determine whether collection of saliva by absorbent techniques is compatible with EV isolation.
Urine
Urine is increasingly studied as it can be obtained non-invasively in large volumes and contains EV with diagnostic potential (170) for renal, bladder, urethral and prostate diseases including cancers (171, 172). RNA is protected by urinary EV to a greater degree than by cells in urine (173), and the EV themselves are remarkably stable (174).
Collection and study design
If voided urine is collected, attention should be paid to potential bacterial contaminants. It is advised to consider characteristics of “freshly” voided urine as distinct from large residues stored in the bladder. Ease of collection means that normative controls could be selected from relatives accompanying the patient (preferably sex- and/or age-matched individuals). Care must be taken in situations where the patient but not the control donor has been advised to fast or follow other dietary changes due to health procedures.
EV isolation
Several groups have reported that rapid nanomembrane-based concentration of urinary EV is a reliable alternative to lengthy ultracentrifugation procedures (170, 173, 175). Expedited processing options could speed up the introduction of urine-based diagnostics (173), as could the utility of frozen urine for EV isolation [as referenced in (173)].
A characteristic of urine, which may in some cases complicate EV isolation, is the presence of the Tamm-Horsfall protein (THP, also referred to as uromodulin), a major protein component of urine (176). Polymeric THP may entrap large amounts of EV, which may thus pellet at low speed (177). Addition of the reducing agent dithiothreitol (DTT) releases EV from the THP trap. However, upon addition of DTT to urine samples, monomeric THP will be still present in EV that are pelleted at high speed (178). The zwitterionic detergent CHAPS (3-[(3-cholamidopropyl)dimethylammonio]-1-propanesulfonate) has been proposed recently as an alternative to DTT in removing THP entanglement, while retaining vesicle morphology and protein activity (179). Use of sucrose cushions or gradients with heavy water (but not regular water) has also resulted in successful separation of EV from THP complexes (67, 177).
Nasal secretions
Pathological changes during airway diseases and inflammation can be monitored by measuring cells and soluble mediators in nasal secretions and by observing epithelial remodelling in nasal biopsies (180). EV can be isolated from nasal secretions (53) and may have altered function(s) and cargo during respiratory disease. Understanding nasal EV is of particular importance since therapeutic vesicles could be transported to the brain through the olfactory system (181).
Sample collection
Although the influence of sampling technique on yield, purity and stability of EV is not currently known, nose blowing, nasal lavage, suction, swabs and spray and absorption techniques (182) may result in differences in cell count, concentrations of soluble proteins and level of caused irritation to the epithelium (182–184). Sampling-induced epithelial inflammation and damage should be kept to a minimum. Since inhaled particles vary by season, climate and degree of urbanization (185–187), baseline samples or pools of samples from several collections could overcome within-subject variations (53). As allergens induce inflammation in the nasal epithelium, atopic subjects are likely to be even more sensitive to seasonal changes (188). Same-season collection and controlling for atopic status, occupational exposure and degree of urbanization are recommended. For collection of multiple samples, protein studies indicate that between-collection interval should be considered and standardized (182). Studies are needed to determine if loss of yield through rapid succession sampling also applies to EV, but the epithelium and mucus layer may need time to recover between sampling.
Recovery
After instilling 2.5–5 ml of saline to each nostril, recovery rate is approximately 80% but can vary between subjects (range: 65–90%) (180). Loss can be limited by having the subject close the soft palate and train in the NLF procedure (182). Keeping the mouth closed during collection ensures that that fluid collected is from the nose, and does not include saliva. It is possible that the yield of nasal luminal vesicles can be improved by increasing the volume of lavage fluid.
Age and gender
Although knowledge of the production and recovery of EV in nasal secretions remains limited, it is probably important to study age- and gender-matched subjects. Pro-inflammatory molecules and second messenger in nasal secretions can differ with gender (185, 189), and protein concentration in nasal mucus can decrease with age (189).
Handling of the collected nasal secretion
Little is known about the best handling of collected samples for EV studies. However, cells should always be removed by a gentle centrifugation before the samples are stored in a freezer. The pelleted cells may be examined for number of inflammatory cells, as well as contamination of saliva cells and blood cells to establish the condition of the collected sample.
Breast milk
Breast milk provides not only the required nutrients for neonates but is also thought to protect against a variety of health problems in children including necrotizing enterocolitis, childhood obesity, severe infections, as well as reducing the risk of cardiovascular disease and cancer in later life (190, 191). Breast milk is a very complex fluid consisting of proteins, carbohydrates, lipids, cells and other biologically important components. Human breast milk contains non-nutritional bioactive components, such as maternal cells and antibodies, chemical mediators, vitamins and enzymes (192). Recent studies have reported the presence of EV in human breast milk (35, 37, 193) and cow's milk (194–196), and several types of RNA were described to be associated with these vesicles (35, 193, 195). Various protocols of differential (ultra)centrifugation and density gradient ultracentrifugation were used in these studies for isolation of EV. Milk samples had often been stored at low temperatures before isolation of EV. This may have affected the milk EV composition. Although EV in milk were shown to have immune modulatory effects (37), the role of milk EV in neonates awaits clarification. Furthermore, EV in milk are being explored as biomarkers to monitor the development of (immune-related) diseases such as allergies.
The selection of patient groups and normative controls should be carefully considered when studying breast milk because of the large number of factors that influence the composition of milk. These factors include the stage of lactation, parity, volume of milk production, infant feeding, maternal diet and energy status, maternal health, illness, and stress (197). For example, the composition of colostrum (1–5 days), transitional milk (6–15 days) and mature milk differs largely with regard to the concentration of fat, proteins, vitamins and antibodies (198, 199). Furthermore, it should be considered that, during active phasing out of breastfeeding, apoptosis events causing mammary involution (200) may lead to increased numbers of EV derived from apoptotic cells in the milk EV populations.
Isolation of EV from milk is complicated by the high lipid content of milk. Lipids (mainly triacylglycerols) are released in milk as fat globules (MFGs) by mammary epithelial cells. These MFGs are droplets of lipids surrounded by a complex phospholipid trilayer containing proteins and glycoproteins (201), and thus are a type of EV. MFGs are largely heterogeneous in size, and their buoyant densities are different from those of other EV (201). Because of their vesicular nature and high abundance in milk, however, MFGs may be co-isolated with other EV populations present in milk.
Several lines of evidence indicate that the method of milk sample collection and storage affects the composition of milk, and may therefore also influence the EV content of milk. The method of milk expression (manual versus electric pump) was shown to influence the fat content of milk and contaminations derived from the skin (202). Since the composition of fore and hind milk has been shown to be largely different (203), milk samples for research mostly consist of equal volume mixtures of these two milk types or complete milk of one feed. Various studies have addressed the influence of low-temperature storage on breast milk composition [reviewed in (202)]. The type of storage container (glass, polyethylene or polypropylene) has been shown to influence cell content (202) and could therefore affect the EV content. Freezing of milk, as is widely performed for milk banking, reduces cell number (204) and dying cells lead to contamination of the milk EV population (E. N. Nolte-‘t Hoen, personal communication). Freezing milk also leads to loss of bile salt dependency of the bile-salt-dependant lipases (205), and increased lipase activity after thawing may affect cell and EV integrity. Additionally, freezing breaks the emulsion between MFG and the aqueous fraction, which may lead to changes in EV isolation efficiency and purity. Storage of milk at higher temperatures can also affect milk composition. Incubation at 15–35°C was shown to lead to a decrease in pH within hours and rapid lipolysis (within 1 h). Importantly, not only freezing, but also storage at 0–4°C leads to a reduction in the number of milk cells [204 and E. N. Nolte-‘t Hoen, personal communication]. We conclude that additional EV-specific studies would be helpful to establish the effects of collection and storage methods on milk-derived EV and their content.
CSF
CSF bathes the central nervous system and is continually filtered into the blood. Although CSF typically contains much lower concentrations of EV than other biofluids including blood, the presence of EV in CSF has been reported based on methods including transmission electron microscopy (TEM) and laser correlation spectroscopy (54, 206–208). Given their potential as reservoirs for biomarker discovery in neurological disorders, different research groups have profiled the EV-associated proteome and lipidome composition associated with EV (54, 207, 208). The identification of protein structure and modifications within CSF EV may represent a key component in deciphering RNA–protein interaction within disease-associated modifications that may be important elements in induced neurodegeneration. There is also interest in identifying the key players – proteins and RNAs – in unconventional EV release mechanisms prominent in neurodegenerative disease pathogenesis (209).
Comprehensive guidelines have been drawn up for CSF biobanking (210). CSF is collected from lumbar regions L2/3 or L3/4 according to consent and approved medical protocol (210). Investigators should be vigilant for contamination of CSF samples with blood. For EV concentration, samples are often subjected to differential centrifugation (54, 207, 208). As for isolation of EV from other biofluids, standardization of techniques has not yet been achieved and will require comparative studies.
For CSF, it may be particularly problematic to obtain healthy control samples, although such samples appear to be available commercially (211). Appropriate controls may be obtained from patients suffering from disorders other than that investigated in each respective study (e.g. affective disorders, peripheral neuropathy, persistent headache, normal pressure hydrocephalus) (212, 213) or those undergoing intra or epidural procedures.
Cultured cell-conditioned medium
EV and evRNAs isolated from biofluids necessarily have a mixed cellular origin. In some cases, it may be interesting to analyze specifically vesicles and RNA recovered from a single cell type. This is easily achieved by collecting conditioned medium from cultured cells. EV are generally purified from medium conditioned by cells for 24–48 h, but shorter conditioning times have been used to analyze specific release of EV-associated markers after a specific stimulus: for instance, surface receptor-mediated stimulation (214, 215) or fMLP, PMA or calcium ionophore treatment for 15–60 min (1, 216, 217). It is important to keep in mind, however, that such acute stimulations may lead to the release of EV of different intracellular origin than those secreted spontaneously, and no extensive side-by-side comparisons of steady-state and induced EV have been performed to our knowledge so far. Even in this simplified situation, precautions to avoid artifactual EV are indicated.
Serum-derived EV
In most cases, cells are cultured in vitro in the presence of serum. Whether this is human serum or foetal calf serum (FCS), it contains EV and RNAs. To avoid contamination of cell-derived vesicles by serum EV, 2 solutions have been proposed (70). The first is to eliminate serum-derived vesicles before cell culture by performing an overnight ultracentrifugation at 100,000×g. To allow efficient elimination of vesicles, and due to the viscosity of serum, it is mandatory to centrifuge serum diluted to at most 20% in the culture medium. To make sure that the medium has been properly depleted from vesicles, quantification by Western blot using antibodies recognizing bovine proteins classically found in EV, such as transferrin receptor or flottilin-1, can be performed. The second solution is to culture cells in serum-free medium. This is possible, for instance, for the culture of primary neurons, which are classically cultured in a defined medium with growth factors. For cells that are normally grown with serum (e.g. tumour cell lines), but that can survive without serum for a few days, many laboratories simply change the medium to serum-free medium for the conditioning time. Such an abrupt switch to nutrient-poor medium, however, will unavoidably induce a stress response, most probably leading to secretion of EV of different composition and/or intracellular origin. Here again, however, no specific side-by-side comparisons have been performed yet, and it would be advisable to perform such comparisons for each type of cells analyzed. Finally, some commercially available serum-free media for long-term growth of some cell lines, such as AIM-V, give rise to a pellet containing proteins (as quantified by microBCA) and vesicles or protein aggregates (as quantified by Nanoparticle tracking analysis; C. Théry, personal observations). Thus, these media may not entirely circumvent the problem of contamination by non-cell-derived vesicles.
Cell death
Whatever the culture conditions, it is absolutely necessary to quantify the percentage of dead cells present in the culture at the end of the conditioning time. Indeed, dying cells release vesicles of various sizes, and eventually break into cell fragments, which can in turn fragment into smaller vesicles upon ultracentrifugation or filtration. Presence of abundant dead or dying cells will thus lead to contamination of live cell-derived EV by dead-cell-derived vesicles, and current purification protocols will not separate these different vesicles. Soluble materials released from dying cells may also adhere non-specifically to lipid vesicles, and thus change their protein and/or nucleic acid composition. For these reasons, one might arbitrarily specify 5% as the maximum acceptable cell death percentage in culture to provide reasonably pure EV released by live cells.
Microbial contamination
Finally, microbes may contaminate cell cultures. If conditioned medium is subjected to high-speed pelleting, any microbial contamination is expected to sit in the pellet. Authors should be aware of this risk, and first confirm the Mycoplasma-free status of cells used in their experiments. Similarly, if cells are productively infected with viruses, they will co-purify with small EV upon ultracentrifugation. One could even imagine that endogenous retroviruses, normally present in mammalian genomes, may recombine with genomes of retroviral expression vectors, and lead to production of new viruses, although this has never been strictly demonstrated.
EV isolation
Method-independent considerations
Input volumes and dilution
Optimal input volume for EV isolation will likely need to be determined empirically for each biological fluid and isolation method. In the case of RNA purification from EV or fluids, it has been suggested by some (119) that larger amounts of starting material do not necessarily result in larger amounts of recovered RNA, perhaps because of clogging or saturation of RNA purification columns or co-purification of PCR inhibitors. Dilution of biological fluids with PBS may enhance the recovery of EV by altering the viscosity of the respective fluid (149), a principle that was noted as early as 1967 for EV that was then described as “platelet dust” (218). Théry and colleagues recommended dilution of plasma, ascites, BAL and other fluids with an equal volume of PBS prior to centrifugation (70). Others have reported dilution by factors of 3- to 10-fold (13, 108, 219). However, the need for and utility of dilution is viscosity dependent and may not be necessary for every biofluid.
Storage and handling of collected fluid before EV isolation
It may be advisable to proceed to vesicle isolation immediately after collecting the biofluid or cell-conditioned medium that is to be analyzed (136). In some cases, however, fluid storage before EV purification may be convenient, for instance to allow simultaneous processing of samples from different patients or sources. One might also wish to examine previously biobanked patient samples. At a minimum, cells and platelets should be removed from the fluid prior to storage. Beyond this elementary consideration, little consensus exists, and reports of well-controlled experiments are needed to reveal the consequences of fluid storage temperature (4°, −20°, −80° or −160°C) and other handling and storage parameters for the recovery and phenotype of EV.
Storage and handling of isolated EV
Storage vessels, buffer and conditions may each affect the outcome of EV experiments. Siliconized vessels are recommended for storage to prevent adherence of EV to surfaces. At the least, vessels should be tested to ensure that EV are not partially or completely lost to surfaces. PBS is the standard choice for resuspension (70), and the current consensus seems to support storage at −80°C. The effect of additives including dilute, highly purified protein carriers, awaits detailed investigation. As for any biological material, it makes sense to minimize freeze/thaw cycles, although evidence was presented at the October, 2012 ISEV workshop that small vesicles are relatively insensitive to freeze/thaw cycles and may even resist bursting in a hypotonic environment. Resistance to freeze/thaw has also been reported in the literature (127, 220). Nevertheless, the best practice is to compare frozen with frozen and fresh with fresh, and to record any and all freeze/thaw cycles to which each sample has been subjected. It should also be clearly indicated whether vesicles were isolated from fresh or frozen samples. Finally, samples should be both frozen and thawed rapidly for maximal preservation of morphology and function. However, some participants at the ISEV research workshop reported loss of function following freezing and advocated use of vesicles stored at temperatures just above freezing. Additional studies are needed to identify storage and handling methods that allow optimal retention of function.
Methods
EV isolation may be achieved by a variety of methods, including ultracentrifugation, filtration, immunoaffinity isolation and microfluidics techniques. The invention of the ultracentrifuge by Svedberg around 1920 (221) led to the extensive development of separation techniques that were applied to the study of enveloped viruses – an interesting subset of EV – in the mid-20th century. Ultrafiltration methods were applied even earlier (222), while immunoaffinity purification of viruses was performed in the 1970s [see, e.g. (223)]. It is beyond the scope of this article to present this important historical backdrop to current EV research. Instead, we will describe the ground-breaking application and modification of these methods to investigations of non-viral EV (64, 70). These methods are not necessarily mutually exclusive, and combinations may be desirable (70, 224–226). Choice of method(s) should be guided by the required degree of EV purity and concentration.
Centrifugation
To date, most published studies of EV from biofluids or cell culture have employed differential centrifugation with or without size filtration to concentrate and partially purify EV (64, 70). After depletion of cells, platelets and large apoptotic bodies by 1 or more low-speed centrifugation steps and/or size exclusion (e.g. 800-nm filter), larger EV (variously labelled microvesicles/microparticles/ectosomes) are pelleted. Forces commonly reported for this step are in the 10,000–20,000×g range. Smaller EV are then pelleted at high speed (100,000–120,000×g). Such stepped ultracentrifugation procedures cannot achieve absolute separation by size because sedimentation also depends on the density or “cargo” of a particle and the distance a particle travels. Some small EV near the bottom of the tube will pellet in the large vesicle pellet at low speed (226), while some larger particles near the top of the tube may pellet only with the high-speed spin. Aggregation of EV, a common occurrence, also interferes with separation by individual vesicle size. Similarly, the pellet from a high-speed spin will contain extravesicular proteins complexes/aggregates, lipoprotein particles, and other contaminants. Resuspending and recentrifuging each pellet in PBS may aid in removing some of these impurities, albeit at the risk of reducing the yield of EV, but absolute separation is impossible by this method alone. For this reason, protein measurements of EV-containing pellets are inadequate to determine recovery of EV [we also note that lipids are known to interfere with detergent-compatible protein assays (227)].
To remove contaminating non-vesicular particles, density gradients add stringency by separating particles of different density. By allowing EV to float upward into an overlaid sucrose gradient, as described in the original studies of EV (64, 70), one can efficiently separate contaminating protein and/or protein–RNA aggregates, which will remain at the bottom of the tube, from lipid-containing vesicles. In addition, this procedure allows separation of vesicles according to their density, classically reported between 1.1 and 1.19 g/ml. Of note, 2 studies published in 2012 showed that some vesicles take between 62 and 90 h (228, 229) to reach equilibrium density, that is much longer than the traditional 16-h centrifugation time (70). Thus, performing “buoyant velocity separation” as proposed by Palma et al. – introducing variable lengths of centrifugation of the sucrose gradient – may allow more efficient separation of different vesicles. Finally, another commonly used approach involves loading the pellet on top of a sucrose gradient (33, 41, 42), a sucrose cushion (171, 224) or iodixanol (71) before centrifugation for a few hours to overnight. If centrifugation is too short and/or the tube is too long, though, contaminating aggregates may not reach the bottom of the tube and thus end up in the same fractions as EV. Since different classes of vesicles may have overlapping densities, however, even density-based procedures may achieve enrichment rather than true isolation. Where reconstitution of biological activity is required, the effects of ultracentrifugation parameters, including the influence of sucrose and changing the osmotic environment, might be carefully assessed.
When reporting results of centrifugation experiments, it is essential to specify all variables of the centrifugation procedure (230) to ensure the possibility of reproduction and study-to-study comparison. Physical separation depends not only on the g force applied, but also on the rotor type (fixed angle, swinging bucket), pelleting efficiency (rotor k-factor), sample viscosity, and gradient characteristics. Several participants at the ISEV 2012 workshop encouraged the exclusive use of swinging bucket rotors during ultracentrifugation. In comparison with a swinging-bucket rotor, a fixed-angle rotor deposits material against the wall of the centrifuge tube and gradually forces this material down the wall to the bottom of the tube. There are competing views on whether ultracentrifugation in general damages EV (220, 226). This process is thought by some to be physically damaging to viruses; effects on non-viral particles are largely unknown, but aggregation may occur. Well-controlled comparisons are needed to compare size, percentage of damaged vesicle, soluble protein contamination and RNA profiles associated with different methods.
Size exclusion
Separation of EV based on the size and passage through physical barriers may be achieved through the use of filters or chromatography. In the former, particles larger than the desired size may be excluded, for example by a filter with a 0.8-µm pore size, or particles smaller than the desired size range may be removed, while the target population is retained on the filter. Column chromatography allows for sequential elution of EV size fractions from a single column. Filter-based methods will not enrich EV populations unless low-molecular-weight filters (e.g. Centricon units) are used for concentration. (However, little is known about the effects of this concentration on EV and the extent to which target EV populations may adhere to the filter and thus be lost to analysis.) For this and other reasons, size exclusion methods are often combined with ultracentrifugation or other techniques. Filers of 0.8 µm are often used to remove large cell fragments and platelets prior to EV isolation (63), while 0.2 µm filters may be used when smaller EV are desired (70). Participants at the 2012 ISEV workshop noted that forcing particles through filter pores may cause deformation and breakup of large vesicles or platelets, thereby potentially skewing results. To prevent this, size exclusion could be performed by gravity (63) or, if this is impractical because of time considerations, by the smallest possible applied force. It is also advisable to check that filters do not release contaminating debris/particles that may interfere with downstream applications.
Immunoaffinity isolation
The presence of characteristic surface proteins on certain EV classes is the basis for immunoaffinity isolation (70, 231–233), in which antibodies to surface proteins are used to select desired EV populations positively (immuno-enrichment) or to trap unwanted EV populations (negative selection or immuno-depletion). Antibodies are associated with beads or other matrices (234–236) through covalent or high-affinity interactions, facilitating physical separation by low-speed centrifugation or magnetic techniques. Although commonly used (237), sometimes in combination with other methods (225, 238), immunologic approaches have diverse input requirements, antibody/antigen combinations and attachment/isolation systems. As an example of an immunologic approach to vesicle isolation, HIV-1 virions have been reported to exclude the cellular membrane tyrosine phosphatase CD45 (leukocyte common antigen), allowing purification of virions by negative selection from lymphocyte EV (239, 240). Depending on the approach, this method can be used to purify and enrich EV.
Immunologic techniques have the potential for high specificity (241, 242), an important consideration in the characterization of unique EV populations. They may also be used to select for EV with the correct membrane orientation, that is vesicles with a cytosolic-outwards orientation cannot bind antibodies raised to exoplasmic features. However, selectivity also results in concomitantly lower yields than methods that rely on physical properties, not least because some markers are possibly not represented or recognized on all vesicles within a given class (70). For reporting, it is recommended to assess not only the presence of selected markers, but also the absence of contaminants, and to include appropriate isotype controls.
Polymeric precipitation
With the goal of enriching EV, commercially available polymeric precipitation mixtures are incubated with biofluids, typically overnight, and low-speed ultracentrifugation is used to collect precipitate that is said to contain EV or, specifically, “exosomes”. These methods, using reagents such as ExoQuick from System Biosciences, are technically facile and require little hands-on time (243), but there may be concerns about the purity of the resulting product. In one study of small EV isolation from ascites fluid, for example, it was concluded that polymer-based precipitation was superior than size exclusion, immunoaffinity separation and ultracentrifugation (244). However, only recovered RNA and protein purity and quantity were assessed in this study, and the results would thus be consistent with greater recovery of RNA or protein through inclusion of impurities. At the 2012 ISEV workshop in New York City, participants discussed an apparent tendency of polymer-based precipitation methods to include numerous non-EV contaminants such as lipoproteins. In a publication that assessed exosome morphology following ultracentrifugation, precipitation and combination methods, it was also reported that density gradient ultracentrifugation was preferable even to a precipitation/UC hybrid method for recovery of high-quality small EV (196). Polymer-based precipitation may produce high yield of RNA and may be appropriate in the case of fluids that are thought to have enriched small EV fractions (245), but rigorous assessment of contaminating particle fractions is recommended when this method is employed.
Microfluidics
In 2010, Chen, et al. demonstrated rapid recovery of small EV from both serum and conditioned culture medium with a microfluidic device containing antibody-coated surfaces (238). Other micro- and nanofluidics methods separate nanoparticles based on physical properties alone (246, 247). The application of these methods to biological fluids has not yet been described extensively.
Quantitative and qualitative assessment of EV
Various optical and non-optical methods have been developed or adapted for the assessment of EV quantity, size and features such as the presence of specific surface markers (248). Optimization and standardization of protocols remain an important task. The following is an overview of a selection of available techniques, and some methods that are not covered here may play an important role in on-going and future EV studies.
Techniques
Electron microscopy
Electron microscopy (EM) techniques are well established and have proven very useful in EV research (64), providing direct evidence for the presence of vesicular structures. The use of heavy metal stains such as osmium tetroxide and uranyl acetate in TEM enables recognition of membrane-surrounded vesicles, and contrast is enhanced by embedding in methylcellulose. In most cases, concentrated EV suspensions are applied to grids and fixed, for example with paraformaldehyde. As an alternative method, EV pellets at the bottom of a centrifuge tube are fixed, and ultrathin cross sections are analyzed by TEM (63). While using suspensions is simpler, sectioning pellets may be more informative by showing substantially higher numbers of EV in the EM field and avoiding the possibility that certain types of suspended EV do not adhere to the grid. TEM is frequently combined with the use of immunoglobulins coupled with nanogold particles that detect specific EV features (immuno-EM). Further EM tools to investigate EV include scanning EM (220, 249) and cryo-EM. The latter enables the analysis of EV in frozen samples with the advantage of avoiding the effects of dehydration and chemical fixatives (250). For example, cryo-EM results indicate that the cup-shaped appearance of “exosomes” as reported by TEM is an artifact of preparation (251). EM is valuable for assessments of morphology, size and the presence of markers (by immuno-EM). The technique is of limited use for concentration measurements.
Atomic force microscopy
In atomic force microscopy (AFM) (252, 253), a mechanical cantilever is passed over a surface, with deflections indicating the presence of surface structures. With the possibility of sub-nanometre resolution, AFM is particularly suited to assessments of EV morphology. AFM has been applied to the study of EV in numerous publications [e.g. (63, 254, 255)].
Optical single particle tracking
Nanoparticle tracking analysis (NTA) is the commercial name of an optical particle tracking method for obtaining concentration and size distribution of EV populations (256–258). A laser beam is scattered by particles in the sample, and the mean velocity of each particle is calculated by the Stokes–Einstein equation on the basis of Brownian motion recorded by a CCD camera. For accurate quantification of number and size of heterogeneous populations of vesicles, the procedure requires accurate optimization of camera and analysis settings, and separate measurements with different settings may be needed to obtain accurate readings for EV subsets in heterogeneous mixtures. A technical article published recently in Journal of Extracellular Vesicles should help with standardization of these procedures (259). Although standard light scatter NTA does not detect biochemical composition or cellular origin of vesicles, analysis of fluorescently labelled vesicles is also feasible (256, 260). This, too, requires optimization, and as yet is not used routinely. Of note, prior to NTA analysis of biofluid EV, for example from blood, isolation of vesicles by centrifugation or other means is necessary in order to remove lipoprotein particles, protein complexes and other particles that may have similar size and outnumber EV in the blood. Indeed, when using NTA in light scatter mode, one might keep in mind that large protein aggregates will not be distinguished from vesicles with similar Brownian motion, and thus even after partial purification, the particle concentrations calculated by this technique include a mixture of EV and non-vesicular structures. As for flow cytometry, it could be useful to compare samples treated or not with detergents to eliminate vesicles (see “Flow cytometry” section), but the influence of detergent on NTA-based analysis requires further investigation.
Resistive pulse sensing
Resistive pulse sensing, commercialized as the IZON qNano technique, is a novel alternative to NTA for concentration and size distribution measurements. This technique detects individual EV by transient decrease of an ionic current caused by the transport of a vesicle through a nanopore in a membrane (261–263). Polydisperse systems, such as heterogeneous vesicle populations, often require the combination of results obtained using more than 1 nanopore membrane (each of which is used for detecting a limited size range of particles).
Dynamic light scattering
Dynamic light scattering (DLS) calculates the average size of relatively monodisperse populations of isolated particles (220, 257, 258). DLS has also been used for analysis of EV (226, 264). However, for the analysis of heterogeneous EV populations, this technique is less suited, and results may vary depending on analysis software.
Flow cytometry
Flow cytometry is a powerful method for both the qualitative and quantitative characterization of cells and smaller particles, including EV. For single vesicle-based flow cytometry, conventional flow cytometers have a lower detection threshold around 500 nm and are suited only for analysis of large EV. Introduction of the Megamix bead gating strategy was an important step towards standardization of flow cytometric assessment of larger EV (265, 266). Newer instruments such as Gallios (Beckman Coulter), BD-Influx (Becton Dickinson) and Apogee (Apogee Flow Systems) enable discrimination of particles as small as 200 nm (268) or even 100 nm in diameter (266, 268, 269). The issue of appropriate size standards, that is polystyrene beads with high refractive index, silica particles with slightly lower refractive index, or other materials, has been the subject of some discussion (270). Light scatter-based flow cytometry detection of EV may be confounded by protein aggregates, including clumps of fluorescently labelled detection antibodies (271). To circumvent this problem, differential detergent lysis has been suggested to distinguish EV from protein aggregates during flow cytometry (272). Investigators who use this approach may wish to demonstrate carefully that EV are appropriately eliminated, since some lipid domains of EV are relatively insensitive to weaker detergents (233, 273). Calcium-phosphate microprecipitates were also shown to result in EV-mimicking signals by flow cytometry (274).
Recently, a protocol was published for high-resolution flow cytometry detection of fluorescent EV subjected to flotation on sucrose, and using custom-made settings of the BD-Influx (Becton Dickinson) (269). This method overcomes the interference by protein aggregates or calcium-phosphate microprecipitates. However, analysis of small vesicles by flow cytometry requires very careful controls performed using identical settings, including display of the plots and quantifications collected and calculated from the diluent alone, and from standard beads of a similar size and preferably with a comparable refractive index to that of the analyzed vesicles. Furthermore, serial sample dilutions should be analyzed to define the proper dilutions at which “swarm” signals generated by multiple vesicles and detected as a single event are minimized or excluded [(275) and M.H. Wauben, personal communication].
To allow easy analysis of EV by flow cytometry, it is possible to couple EV to micrometre-sized latex beads (70). In this way, the relative presence of various surface proteins can be determined, but this method will neither allow EV quantification nor discriminate between different vesicle subsets.
Western blot
Conventional Western blotting may be used to demonstrate the presence of proteins reportedly associated with EV or EV subgroups in preparations that include EV, but is not suitable for determining EV quantity. Markers might include tetraspanins (CD9, CD63, CD81, CD82), MHC molecules, or milk-fat globule-EGF-Factor VIII (MFGE8, or lactadherin), and cytosolic proteins such as certain stress proteins, Tsg101, Alix, or cytoskeletal proteins (e.g. actin, tubulin). Purified vesicle preparations or pellets of fractions of sucrose density gradient ultracentrifugation may be treated with buffered solutions containing lysis reagents, denaturants and protease inhibitors or directly mixed with loading buffer. Proteins may then be separated by SDS-PAGE. It is important to emphasize that this technique on its own cannot identify whether detected proteins are from EV, and, as discussed below, that the presence or enrichment of an EV marker does not mean that contaminants are absent. Nevertheless, the Western blot is a useful tool for detecting proteins present in purified EV preparations.
Contaminants of vesicle preparations
In addition to EV contaminants (that is, EV other than those of the desired class), lipoproteins, microbes, microsomes, chromatin and protein aggregates may co-purify in vesicle preparations and confound analysis. Therefore, caution is warranted when describing a given vesicle preparation.
Diverse populations of vesicles in preparations
Biological systems contain diverse populations of EV. Of note, current evidence suggests that the repertoire of vesicles secreted by cells is dynamic and varies from cell to cell. In spite of recent efforts to purify a single type of vesicles (such as exosomes as defined by different research groups), preparations usually contain more than 1 population. Even preparations isolated by sucrose gradient ultracentrifugation have been shown to contain diverse types of vesicles (276–278). Evaluation and re-evaluation of putative markers of specific vesicle types is in progress, and additional efforts are needed. Even in the case of markers with strong evidence for EV subtype-specificity, the presence of such markers does not rule out that other types of vesicles are present in a preparation simultaneously. Not only must the desired population be confirmed as present; contaminants must be demonstrated to be absent.
Lipoprotein particles
When vesicles are isolated by high-speed ultracentrifugation, most large lipoproteins will be excluded from the pellet by their buoyancy. However, some particles – in particular, high-density lipoprotein, HDL – may co-purify with EV. Although HDL particles are approximately 10 nm in diameter, and thus are substantially smaller than EV, their density overlaps that of EV (15). Direct interactions are also a possibility. Even EV preparations isolated by sucrose gradient ultracentrifugation (1.13–1.19 g/ml) may contain contamination by HDL. How – and if – to separate HDL and other contaminants from the target vesicle population(s) depends on the goals of each project. Given that HDL has been shown recently to transport RNAs (15, 16), attempts should be made to discriminate extra-EV (e.g. HDL-associated) and EV-associated RNA in blood plasma samples. Direct pelleting of small EV and HDL at 100,000 and 300,000×g, respectively may discriminate between the 2 types of particles (15).
Microbes
The size ranges of EV overlap those of viruses and bacteria (125), and any EV preparation is potentially subject to microbial contamination. EV preparations may contain virions or virus-like particles, including those of endogenous retroviral origin. Use of Optiprep (iodixanol) gradients has been shown to separate virions from small EV (71). Most bacteria, in contrast, are usually pelleted at low speed during differential centrifugation (see the “Cell culture-conditioned media”).
Microsomes
Disrupted membrane fragments released by eukaryotic cells undergoing necrosis may re-form vesicular artifacts referred to as microsomes. Contributing membranes include but are not limited to endoplasmic reticulum. Microsomes may be smooth or rough (the latter carry numerous membrane-bound ribosomes). Microsomes pelleted at high speed (100,000×g) are potential sources of ribosomal RNA in EV preparations. The presence of endoplasmic reticulum proteins (such as calnexin) may be an indicator of microsomal contamination. As mentioned above, immuno-isolation techniques may aid in selecting non-microsomal vesicles.
DNA and other products of necrosis
Organelles and macromolecules including DNA may be released by necrotic cells. DNA/chromatin networks known as “neutrophil extracellular traps” (NETS) are also released as an antimicrobial defence mechanism (279, 280). DNA, on its own or associated with chromatin proteins, may bind to EV, creating aggregates with greatly altered buoyant density. Because these aggregates would pellet at low speed, DNA contamination may result in reduced yields of vesicles purified with differential centrifugation and ultracentrifugation. DNase digestion or gDNA eliminator columns may be necessary to remove DNA contamination of EV samples.
Protein aggregates
Protein aggregates may share biophysical parameters (including sedimentation properties) with EV (63, 281). Protein aggregates (such as immune complexes) may pellet along with larger EV at low speed, and are possible contaminants of extracellular preparations isolated from biological fluids. As stated before, segregation of EV from protein aggregates can be achieved by gradient density ultracentrifugation.
Expectations and proposals
In this position paper, we have summarized discussions that took place at and following the ISEV research workshop in New York City in October, 2012. There exists surprisingly little consensus within the research community on a variety of technical and biological questions. As a result, scientific controversies may simply reflect competitive isolation or analysis strategies. In addition to reviewing issues of sample design, collection, processing; EV isolation; and EV analysis; we also issue several recommendations (Table II). An immediate need is for normative samples from the general healthy population. To ensure adequate supply, multiple pools of individual samples could be produced. These sample pools would be held by one or more central repositories and distributed to researchers on request. In future, it may be desirable to expand the types of stored sample to include those from groups with sedentary versus active lifestyle, high- or low-calorie diet, young and old, male and female, among other characteristics, to provide better matches for disease studies. Similarly crucial is the development of marker-containing and differently sized artificial biomimicks of EV. These vesicles are needed as standards and would be spiked into biological samples to assess isolation efficiency and thus furnish technical normalization. An artificial standard, for example, loaded with a specific RNA sequence, would also allow independent validation of results. Reliable standards could demonstrate that a particular isolation method retains function – RNA transfer capacity – of isolated EV. These standards, perhaps along with calibration standards for the various EV quantitation and sizing technologies, could be made available commercially or distributed through a repository to consortium members.
Of course, strides forward in this field will be possible only with the support of funding agencies such as the European Community and the National Institutes of Health (NIH) of the United States. We applaud the European Metrology Research Program (EMRP) project MetVes (EMRP-MetVes, http://www.metves.eu), designed for metrological characterization of EV from body fluids and the European Cooperation in Science and Technology (COST) program “Microvesicles and Exosomes in Health and Disease (ME-HAD)” (http://www.cost.eu/domains_actions/bmbs/Actions/BM1202). We are also pleased by the NIH Common Fund initiative for exRNA (http://commonfund.nih.gov/exrna/), in which funds have been dedicated to projects involving discovery and validation of exRNA biomarkers of disease diagnosis, prognosis and response to therapy; development of novel exRNA-based therapeutics; and examination of the normal distribution and function of exRNA in various body fluids. We encourage further development of funding opportunities to resolve the many outstanding technical and biological questions of EV and evRNA research. Finally, we anticipate and look forward to progress in the coming years towards this goal.
Acknowledgements
The authors are grateful to all discussants at the 2012 ISEV workshop for important conversations and insights and regret that the scope of this article meant that many excellent and relevant publications could not be cited.
Conflict of interest and funding
The research of Esther Nolte-‘t Hoen is supported by a partnership between Danone and the Dutch Technology Foundation STW, which is the applied science division of NWO, and the Technology Programme of the Ministry of Economic Affairs. Several authors would like to acknowledge funding sources: NCI 2 P01-CA69246-16 and the Richard Floor Fund (F.H.); OTKA 84043 and FP7-PEOPLE-2011-ITN-PITN-GA-2011-289033 “DYNANO” (EIB); K.W.W. receives support from P30 MHO75673, NS076357, MH070306, and AI096113.
References
- 1.Valadi H, Ekstrom K, Bossios A, Sjostrand M, Lee JJ, Lotvall JO. Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells. Nat Cell Biol. 2007;9:654–9. doi: 10.1038/ncb1596. [DOI] [PubMed] [Google Scholar]
- 2.Lotvall J, Valadi H. Cell to cell signalling via exosomes through esRNA. Cell Adh Migr. 2007;1:156–8. doi: 10.4161/cam.1.3.5114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Muratori C, Cavallin LE, Kratzel K, Tinari A, De Milito A, Fais S, et al. Massive secretion by T cells is caused by HIV Nef in infected cells and by Nef transfer to bystander cells. Cell Host Microbe. 2009;6:218–30. doi: 10.1016/j.chom.2009.06.009. [DOI] [PubMed] [Google Scholar]
- 4.Dear JW, Street JM, Bailey MA. Urinary exosomes: a reservoir for biomarker discovery and potential mediators of intra-renal signaling. Proteomics. 2012 doi: 10.1002/pmic.201200285. [DOI] [PubMed] [Google Scholar]
- 5.Quesenberry PJ, Aliotta JM. Cellular phenotype switching and microvesicles. Adv Drug Deliv Rev. 2010;62:1141–8. doi: 10.1016/j.addr.2010.06.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Skog J, Wurdinger T, van Rijn S, Meijer DH, Gainche L, Sena-Esteves M, et al. Glioblastoma microvesicles transport RNA and proteins that promote tumour growth and provide diagnostic biomarkers. Nat Cell Biol. 2008;10:1470–6. doi: 10.1038/ncb1800. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Simons M, Raposo G. Exosomes-vesicular carriers for intercellular communication. Curr Opin Cell Biol. 2009;21:575–81. doi: 10.1016/j.ceb.2009.03.007. [DOI] [PubMed] [Google Scholar]
- 8.van der Vos KE, Balaj L, Skog J, Breakefield XO. Brain tumor microvesicles: insights into intercellular communication in the nervous system. Cell Mol Neurobiol. 2011;31:949–59. doi: 10.1007/s10571-011-9697-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Pegtel DM, Cosmopoulos K, Thorley-Lawson DA, van Eijndhoven MA, Hopmans ES, Lindenberg JL, et al. Functional delivery of viral miRNAs via exosomes. Proc Natl Acad Sci USA. 2010;107:6328–33. doi: 10.1073/pnas.0914843107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Ekstrom K, Valadi H, Sjostrand M, Malmhall C, Bossios A, Eldh M, et al. Characterization of mRNA and microRNA in human mast cell-derived exosomes and their transfer to other mast cells and blood CD34 progenitor cells. JEV. 2012;1:18389. doi: 10.3402/jev.v1i0.18389. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Nieuwland R, Sturk A. Why do cells release vesicles? Thromb Res. 2010;125(Suppl 1):S49–51. doi: 10.1016/j.thromres.2010.01.037. [DOI] [PubMed] [Google Scholar]
- 12.Renzulli JF, 2nd, Del Tatto M, Dooner G, Aliotta J, Goldstein L, Dooner M, et al. Microvesicle induction of prostate specific gene expression in normal human bone marrow cells. J Urol. 2010;184:2165–71. doi: 10.1016/j.juro.2010.06.119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Arroyo JD, Chevillet JR, Kroh EM, Ruf IK, Pritchard CC, Gibson DF, et al. Argonaute2 complexes carry a population of circulating microRNAs independent of vesicles in human plasma. Proc Natl Acad Sci USA. 2011;108:5003–8. doi: 10.1073/pnas.1019055108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Turchinovich A, Weiz L, Langheinz A, Burwinkel B. Characterization of extracellular circulating microRNA. Nucleic Acids Res. 2011;39:7223–33. doi: 10.1093/nar/gkr254. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Vickers KC, Palmisano BT, Shoucri BM, Shamburek RD, Remaley AT. MicroRNAs are transported in plasma and delivered to recipient cells by high-density lipoproteins. Nat Cell Biol. 2011;13:423–33. doi: 10.1038/ncb2210. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Vickers KC, Remaley AT. Lipid-based carriers of microRNAs and intercellular communication. Curr Opin Lipidol. 2012;23:91–7. doi: 10.1097/MOL.0b013e328350a425. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Nolte-‘t Hoen EN, Buermans HP, Waasdorp M, Stoorvogel W, Wauben MH, t Hoen PA. Deep sequencing of RNA from immune cell-derived vesicles uncovers the selective incorporation of small non-coding RNA biotypes with potential regulatory functions. Nucleic Acids Res. 2012;40:9272–85. doi: 10.1093/nar/gks658. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Bellingham SA, Coleman BM, Hill AF. Small RNA deep sequencing reveals a distinct miRNA signature released in exosomes from prion-infected neuronal cells. Nucleic Acids Res. 2012;40:10937–49. doi: 10.1093/nar/gks832. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Gould SJ, Raposo G. As we wait: coping with an imperfect nomenclature for extracellular vesicles. J Extracell Vesicles. 2013;2 doi: 10.3402/jev.v2i0.20389. 20389, doi: http://dx.doi.org/10.3402/jev.v2i0.20389. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Mullier F, Bailly N, Chatelain C, Chatelain B, Dogne JM. Pre-analytical issues in the measurement of circulating microparticles: current recommendations and pending questions. J Thromb Haemost. 2013;11:693–6. doi: 10.1111/jth.12171. [DOI] [PubMed] [Google Scholar]
- 21.van der Pol E, Boing AN, Harrison P, Sturk A, Nieuwland R. Classification, functions, and clinical relevance of extracellular vesicles. Pharmacol Rev. 2012;64:676–705. doi: 10.1124/pr.112.005983. [DOI] [PubMed] [Google Scholar]
- 22.Raposo G, Stoorvogel W. Extracellular vesicles: exosomes, microvesicles, and friends. J Cell Biol. 2013;200:373–83. doi: 10.1083/jcb.201211138. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Mathivanan S, Ji H, Simpson RJ. Exosomes: extracellular organelles important in intercellular communication. J Proteomics. 2010;73:1907–20. doi: 10.1016/j.jprot.2010.06.006. [DOI] [PubMed] [Google Scholar]
- 24.Thery C, Ostrowski M, Segura E. Membrane vesicles as conveyors of immune responses. Nat Rev Immunol. 2009;9:581–93. doi: 10.1038/nri2567. [DOI] [PubMed] [Google Scholar]
- 25.Shen B, Wu N, Yang JM, Gould SJ. Protein targeting to exosomes/microvesicles by plasma membrane anchors. J Biol Chem. 2011;286:14383–95. doi: 10.1074/jbc.M110.208660. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Fang Y, Wu N, Gan X, Yan W, Morrell JC, Gould SJ. Higher-order oligomerization targets plasma membrane proteins and HIV gag to exosomes. PLoS Biol. 2007;5:e158. doi: 10.1371/journal.pbio.0050158. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Deneka M, Pelchen-Matthews A, Byland R, Ruiz-Mateos E, Marsh M. In macrophages, HIV-1 assembles into an intracellular plasma membrane domain containing the tetraspanins CD81, CD9, and CD53. J Cell Biol. 2007;177:329–41. doi: 10.1083/jcb.200609050. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Krishnamoorthy L, Bess JW, Jr, Preston AB, Nagashima K, Mahal LK. HIV-1 and microvesicles from T cells share a common glycome, arguing for a common origin. Nat Chem Biol. 2009;5:244–50. doi: 10.1038/nchembio.151. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Marsh M, Theusner K, Pelchen-Matthews A. HIV assembly and budding in macrophages. Biochem Soc Trans. 2009;37:185–9. doi: 10.1042/BST0370185. [DOI] [PubMed] [Google Scholar]
- 30.Welsch S, Keppler OT, Habermann A, Allespach I, Krijnse-Locker J, Krausslich HG. HIV-1 buds predominantly at the plasma membrane of primary human macrophages. PLoS Pathog. 2007;3:e36. doi: 10.1371/journal.ppat.0030036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Vlassov AV, Magdaleno S, Setterquist R, Conrad R. Exosomes: current knowledge of their composition, biological functions, and diagnostic and therapeutic potentials. Biochim Biophys Acta. 2012;1820:940–8. doi: 10.1016/j.bbagen.2012.03.017. [DOI] [PubMed] [Google Scholar]
- 32.Simpson RJ, Lim JW, Moritz RL, Mathivanan S. Exosomes: proteomic insights and diagnostic potential. Expert Rev Proteomics. 2009;6:267–83. doi: 10.1586/epr.09.17. [DOI] [PubMed] [Google Scholar]
- 33.Bard MP, Hegmans JP, Hemmes A, Luider TM, Willemsen R, Severijnen LA, et al. Proteomic analysis of exosomes isolated from human malignant pleural effusions. Am J Respir Cell Mol Biol. 2004;31:114–21. doi: 10.1165/rcmb.2003-0238OC. [DOI] [PubMed] [Google Scholar]
- 34.Caby MP, Lankar D, Vincendeau-Scherrer C, Raposo G, Bonnerot C. Exosomal-like vesicles are present in human blood plasma. Int Immunol. 2005;17:879–87. doi: 10.1093/intimm/dxh267. [DOI] [PubMed] [Google Scholar]
- 35.Lasser C, Alikhani VS, Ekstrom K, Eldh M, Paredes PT, Bossios A, et al. Human saliva, plasma and breast milk exosomes contain RNA: uptake by macrophages. J Transl Med. 2011;9:9. doi: 10.1186/1479-5876-9-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Perkumas KM, Hoffman EA, McKay BS, Allingham RR, Stamer WD. Myocilin-associated exosomes in human ocular samples. Exp Eye Res. 2007;84:209–12. doi: 10.1016/j.exer.2006.09.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Admyre C, Johansson SM, Qazi KR, Filen JJ, Lahesmaa R, Norman M, et al. Exosomes with immune modulatory features are present in human breast milk. J Immunol. 2007;179:1969–78. doi: 10.4049/jimmunol.179.3.1969. [DOI] [PubMed] [Google Scholar]
- 38.Dai S, Wei D, Wu Z, Zhou X, Wei X, Huang H, et al. Phase I clinical trial of autologous ascites-derived exosomes combined with GM-CSF for colorectal cancer. Mol Ther. 2008;16:782–90. doi: 10.1038/mt.2008.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Dvorak HF, Quay SC, Orenstein NS, Dvorak AM, Hahn P, Bitzer AM, et al. Tumor shedding and coagulation. Science. 1981;212:923–4. doi: 10.1126/science.7195067. [DOI] [PubMed] [Google Scholar]
- 40.Asea A, Jean-Pierre C, Kaur P, Rao P, Linhares IM, Skupski D, et al. Heat shock protein-containing exosomes in mid-trimester amniotic fluids. J Reprod Immunol. 2008;79:12–7. doi: 10.1016/j.jri.2008.06.001. [DOI] [PubMed] [Google Scholar]
- 41.Keller S, Ridinger J, Rupp AK, Janssen JW, Altevogt P. Body fluid derived exosomes as a novel template for clinical diagnostics. J Transl Med. 2011;9:86. doi: 10.1186/1479-5876-9-86. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Poliakov A, Spilman M, Dokland T, Amling CL, Mobley JA. Structural heterogeneity and protein composition of exosome-like vesicles (prostasomes) in human semen. Prostate. 2009;69:159–67. doi: 10.1002/pros.20860. [DOI] [PubMed] [Google Scholar]
- 43.Ronquist G, Brody I. The prostasome: its secretion and function in man. Biochim Biophys Acta. 1985;822:203–18. doi: 10.1016/0304-4157(85)90008-5. [DOI] [PubMed] [Google Scholar]
- 44.Aalberts M, Sostaric E, Wubbolts R, Wauben MW, Nolte-‘t Hoen EN, Gadella BM, et al. Spermatozoa recruit prostasomes in response to capacitation induction. Biochim Biophys Acta. 2012 doi: 10.1016/j.bbapap.2012.08.008. [DOI] [PubMed] [Google Scholar]
- 45.Ronquist G, Brody I, Gottfries A, Stegmayr B. An Mg2+ and Ca2+-stimulated adenosine triphosphatase in human prostatic fluid-part II. Andrologia. 1978;10:427–33. doi: 10.1111/j.1439-0272.1978.tb03064.x. [DOI] [PubMed] [Google Scholar]
- 46.Saez F, Frenette G, Sullivan R. Epididymosomes and prostasomes: their roles in posttesticular maturation of the sperm cells. J Androl. 2003;24:149–54. doi: 10.1002/j.1939-4640.2003.tb02653.x. [DOI] [PubMed] [Google Scholar]
- 47.Fraser LR. The “switching on” of mammalian spermatozoa: molecular events involved in promotion and regulation of capacitation. Mol Reprod Dev. 2010;77:197–208. doi: 10.1002/mrd.21124. [DOI] [PubMed] [Google Scholar]
- 48.Caballero J, Frenette G, Sullivan R. Post testicular sperm maturational changes in the bull: important role of the epididymosomes and prostasomes. Vet Med Int. 2010;2011:757194. doi: 10.4061/2011/757194. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Ronquist G. Prostasomes are mediators of intercellular communication: from basic research to clinical implications. J Intern Med. 2012;271:400–13. doi: 10.1111/j.1365-2796.2011.02487.x. [DOI] [PubMed] [Google Scholar]
- 50.Andersson E, Sorensen OE, Frohm B, Borregaard N, Egesten A, Malm J. Isolation of human cationic antimicrobial protein-18 from seminal plasma and its association with prostasomes. Hum Reprod. 2002;17:2529–34. doi: 10.1093/humrep/17.10.2529. [DOI] [PubMed] [Google Scholar]
- 51.Ogawa Y, Kanai-Azuma M, Akimoto Y, Kawakami H, Yanoshita R. Exosome-like vesicles with dipeptidyl peptidase IV in human saliva. Biol Pharm Bull. 2008;31:1059–62. doi: 10.1248/bpb.31.1059. [DOI] [PubMed] [Google Scholar]
- 52.Berckmans RJ, Sturk A, van Tienen LM, Schaap MC, Nieuwland R. Cell-derived vesicles exposing coagulant tissue factor in saliva. Blood. 2011;117:3172–80. doi: 10.1182/blood-2010-06-290460. [DOI] [PubMed] [Google Scholar]
- 53.Lasser C, O'Neil SE, Ekerljung L, Ekstrom K, Sjostrand M, Lotvall J. RNA-containing exosomes in human nasal secretions. Am J Rhinol Allergy. 2011;25:89–93. doi: 10.2500/ajra.2011.25.3573. [DOI] [PubMed] [Google Scholar]
- 54.Street JM, Barran PE, Mackay CL, Weidt S, Balmforth C, Walsh TS, et al. Identification and proteomic profiling of exosomes in human cerebrospinal fluid. J Transl Med. 2012;10:5. doi: 10.1186/1479-5876-10-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Admyre C, Grunewald J, Thyberg J, Gripenback S, Tornling G, Eklund A, et al. Exosomes with major histocompatibility complex class II and co-stimulatory molecules are present in human BAL fluid. Eur Respir J. 2003;22:578–83. doi: 10.1183/09031936.03.00041703. [DOI] [PubMed] [Google Scholar]
- 56.Levanen B, Bhakta NR, Paredes PT, Barbeau R, Hiltbrunner S, Pollack JL, et al. Altered microRNA profiles in bronchoalveolar lavage fluid exosomes in asthmatic patients. J Allergy Clin Immunol. 2013;131:894–903. doi: 10.1016/j.jaci.2012.11.039. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Qazi KR, Torregrosa Paredes P, Dahlberg B, Grunewald J, Eklund A, Gabrielsson S. Proinflammatory exosomes in bronchoalveolar lavage fluid of patients with sarcoidosis. Thorax. 2010;65:1016–24. doi: 10.1136/thx.2009.132027. [DOI] [PubMed] [Google Scholar]
- 58.Skriner K, Adolph K, Jungblut PR, Burmester GR. Association of citrullinated proteins with synovial exosomes. Arthritis Rheum. 2006;54:3809–14. doi: 10.1002/art.22276. [DOI] [PubMed] [Google Scholar]
- 59.Fourcade O, Simon MF, Viode C, Rugani N, Leballe F, Ragab A, et al. Secretory phospholipase A2 generates the novel lipid mediator lysophosphatidic acid in membrane microvesicles shed from activated cells. Cell. 1995;80:919–27. doi: 10.1016/0092-8674(95)90295-3. [DOI] [PubMed] [Google Scholar]
- 60.Boilard E, Nigrovic PA, Larabee K, Watts GF, Coblyn JS, Weinblatt ME, et al. Platelets amplify inflammation in arthritis via collagen-dependent microparticle production. Science. 2010;327:580–3. doi: 10.1126/science.1181928. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.VanWijk MJ, VanBavel E, Sturk A, Nieuwland R. Microparticles in cardiovascular diseases. Cardiovasc Res. 2003;59:277–87. doi: 10.1016/s0008-6363(03)00367-5. [DOI] [PubMed] [Google Scholar]
- 62.Berckmans RJ, Nieuwland R, Tak PP, Boing AN, Romijn FP, Kraan MC, et al. Cell-derived microparticles in synovial fluid from inflamed arthritic joints support coagulation exclusively via a factor VII-dependent mechanism. Arthritis Rheum. 2002;46:2857–66. doi: 10.1002/art.10587. [DOI] [PubMed] [Google Scholar]
- 63.Gyorgy B, Modos K, Pallinger E, Paloczi K, Pasztoi M, Misjak P, et al. Detection and isolation of cell-derived microparticles are compromised by protein complexes resulting from shared biophysical parameters. Blood. 2011;117:e39–48. doi: 10.1182/blood-2010-09-307595. [DOI] [PubMed] [Google Scholar]
- 64.Raposo G, Nijman HW, Stoorvogel W, Liejendekker R, Harding CV, Melief CJ, et al. B lymphocytes secrete antigen-presenting vesicles. J Exp Med. 1996;183:1161–72. doi: 10.1084/jem.183.3.1161. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Distler JH, Jungel A, Huber LC, Seemayer CA, Reich CF, 3rd, Gay RE, et al. The induction of matrix metalloproteinase and cytokine expression in synovial fibroblasts stimulated with immune cell microparticles. Proc Natl Acad Sci USA. 2005;102:2892–7. doi: 10.1073/pnas.0409781102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Masyuk AI, Huang BQ, Ward CJ, Gradilone SA, Banales JM, Masyuk TV, et al. Biliary exosomes influence cholangiocyte regulatory mechanisms and proliferation through interaction with primary cilia. Am J Physiol Gastrointest Liver Physiol. 2010;299:G990–9. doi: 10.1152/ajpgi.00093.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Raj DA, Fiume I, Capasso G, Pocsfalvi G. A multiplex quantitative proteomics strategy for protein biomarker studies in urinary exosomes. Kidney Int. 2012;81:1263–72. doi: 10.1038/ki.2012.25. [DOI] [PubMed] [Google Scholar]
- 68.Wiggins RC, Glatfelter A, Kshirsagar B, Brukman J. Procoagulant activity in normal human urine associated with subcellular particles. Kidney Int. 1986;29:591–7. doi: 10.1038/ki.1986.39. [DOI] [PubMed] [Google Scholar]
- 69.Lasser C, Eldh M, Lotvall J. Isolation and characterization of RNA-containing exosomes. J Vis Exp. 2012:e3037. doi: 10.3791/3037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Thery C, Amigorena S, Raposo G, Clayton A. Isolation and characterization of exosomes from cell culture supernatants and biological fluids. Curr Protoc Cell Biol. 2006 doi: 10.1002/0471143030.cb0322s30. Chapter 3: Unit 3.22. [DOI] [PubMed] [Google Scholar]
- 71.Cantin R, Diou J, Belanger D, Tremblay AM, Gilbert C. Discrimination between exosomes and HIV-1: purification of both vesicles from cell-free supernatants. J Immunol Methods. 2008;338:21–30. doi: 10.1016/j.jim.2008.07.007. [DOI] [PubMed] [Google Scholar]
- 72.Deng ZB, Poliakov A, Hardy RW, Clements R, Liu C, Liu Y, et al. Adipose tissue exosome-like vesicles mediate activation of macrophage-induced insulin resistance. Diabetes. 2009;58:2498–505. doi: 10.2337/db09-0216. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Wang GJ, Liu Y, Qin A, Shah SV, Deng ZB, Xiang X, et al. Thymus exosomes-like particles induce regulatory T cells. J Immunol. 2008;181:5242–8. doi: 10.4049/jimmunol.181.8.5242. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Nilsson J, Skog J, Nordstrand A, Baranov V, Mincheva-Nilsson L, Breakefield XO, et al. Prostate cancer-derived urine exosomes: a novel approach to biomarkers for prostate cancer. Br J Cancer. 2009;100:1603–7. doi: 10.1038/sj.bjc.6605058. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Li J, Sherman-Baust CA, Tsai-Turton M, Bristow RE, Roden RB, Morin PJ. Claudin-containing exosomes in the peripheral circulation of women with ovarian cancer. BMC Cancer. 2009;9:244. doi: 10.1186/1471-2407-9-244. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Shao H, Chung J, Balaj L, Charest A, Bigner DD, Carter BS, et al. Protein typing of circulating microvesicles allows real-time monitoring of glioblastoma therapy. Nat Med. 2012;18:1835–40. doi: 10.1038/nm.2994. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Escudier B, Dorval T, Chaput N, Andre F, Caby MP, Novault S, et al. Vaccination of metastatic melanoma patients with autologous dendritic cell (DC) derived-exosomes: results of thefirst phase I clinical trial. J Transl Med. 2005;3:10. doi: 10.1186/1479-5876-3-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Morse MA, Garst J, Osada T, Khan S, Hobeika A, Clay TM, et al. A phase I study of dexosome immunotherapy in patients with advanced non-small cell lung cancer. J Transl Med. 2005;3:9. doi: 10.1186/1479-5876-3-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Keiser PB, Biggs-Cicatelli S, Moran EE, Schmiel DH, Pinto VB, Burden RE, et al. A phase 1 study of a meningococcal native outer membrane vesicle vaccine made from a group B strain with deleted lpxL1 and synX, over-expressed factor H binding protein, two PorAs and stabilized OpcA expression. Vaccine. 2011;29:1413–20. doi: 10.1016/j.vaccine.2010.12.039. [DOI] [PubMed] [Google Scholar]
- 80.Zollinger WD, Donets MA, Schmiel DH, Pinto VB, Labrie JE, 3rd, Moran EE, et al. Design and evaluation in mice of a broadly protective meningococcal group B native outer membrane vesicle vaccine. Vaccine. 2010;28:5057–67. doi: 10.1016/j.vaccine.2010.05.006. [DOI] [PubMed] [Google Scholar]
- 81.Théry C. ISEV RNA Workshop – New York City, October 1–2, 2012. JEV. 2012;1:19857. doi: 10.3402/jev.v1i0.19857. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Araldi E, Krämer-Albers E-M, Nolte-‘t Hoen E, Peinado H, Psonka-Antonczyk KM, Rao P, et al. International society for extracellular vesicles: first annual meeting, April 17–21, 2012: ISEV-2012. J Extracell Vesicles. 2012;1 doi: 10.3402/jev.v1i0.19995. 19995, doi: http://dx.doi.org/10.3402/jev.v1i0.19995. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Aharon A, Brenner B. Microparticles and pregnancy complications. Thromb Res. 2011;127(Suppl 3):S67–71. doi: 10.1016/S0049-3848(11)70019-6. [DOI] [PubMed] [Google Scholar]
- 84.Strohacker K, Breslin WL, Carpenter KC, Davidson TR, Agha NH, McFarlin BK. Moderate-intensity, premeal cycling blunts postprandial increases in monocyte cell surface CD18 and CD11a and endothelial microparticles following a high-fat meal in young adults. Appl Physiol Nutr Metab. 2012;37:530–9. doi: 10.1139/h2012-034. [DOI] [PubMed] [Google Scholar]
- 85.Schmidt WM, Spiel AO, Jilma B, Wolzt M, Muller M. In vivo profile of the human leukocyte microRNA response to endotoxemia. Biochem Biophys Res Commun. 2009;380:437–41. doi: 10.1016/j.bbrc.2008.12.190. [DOI] [PubMed] [Google Scholar]
- 86.Witwer KW, Sarbanes SL, Liu J, Clements JE. A plasma microRNA signature of acute lentiviral infection: biomarkers of CNS disease. AIDS. 2011;204:1104–14. doi: 10.1097/QAD.0b013e32834b95bf. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Mobius-Winkler S, Hilberg T, Menzel K, Golla E, Burman A, Schuler G, et al. Time-dependent mobilization of circulating progenitor cells during strenuous exercise in healthy individuals. J Appl Physiol. 2009;107:1943–50. doi: 10.1152/japplphysiol.00532.2009. [DOI] [PubMed] [Google Scholar]
- 88.Sossdorf M, Otto GP, Claus RA, Gabriel HH, Losche W. Cell-derived microparticles promote coagulation after moderate exercise. Med Sci Sports Exerc. 2011;43:1169–76. doi: 10.1249/MSS.0b013e3182068645. [DOI] [PubMed] [Google Scholar]
- 89.Chaar V, Romana M, Tripette J, Broquere C, Huisse MG, Hue O, et al. Effect of strenuous physical exercise on circulating cell-derived microparticles. Clin Hemorheol Microcirc. 2011;47:15–25. doi: 10.3233/CH-2010-1361. [DOI] [PubMed] [Google Scholar]
- 90.Maguire CA, Balaj L, Sivaraman S, Crommentuijn MH, Ericsson M, Mincheva-Nilsson L, et al. Microvesicle-associated AAV vector as a novel gene delivery system. Mol Ther. 2012;20:960–71. doi: 10.1038/mt.2011.303. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Church GM. The personal genome project. Mol Syst Biol. 2005;1 doi: 10.1038/msb4100040. 2005.0030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Ball MP, Thakuria JV, Zaranek AW, Clegg T, Rosenbaum AM, Wu X, et al. A public resource facilitating clinical use of genomes. Proc Natl Acad Sci USA. 2012;109:11920–7. doi: 10.1073/pnas.1201904109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Lunshof JE, Bobe J, Aach J, Angrist M, Thakuria JV, Vorhaus DB, et al. Personal genomes in progress: from the human genome project to the personal genome project. Dialogues Clin Neurosci. 2010;12:47–60. doi: 10.31887/DCNS.2010.12.1/jlunshof. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Witwer KW. Data submission and quality in microarray-based microRNA profiling. Clin Chem. 2013;59:392–400. doi: 10.1373/clinchem.2012.193813. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Brazma A. Minimum Information About a Microarray Experiment (MIAME)-successes, failures, challenges. Scientific World J. 2009;9:420–3. doi: 10.1100/tsw.2009.57. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Brazma A, Hingamp P, Quackenbush J, Sherlock G, Spellman P, Stoeckert C, et al. Minimum information about a microarray experiment (MIAME)-toward standards for microarray data. Nat Genet. 2001;29:365–71. doi: 10.1038/ng1201-365. [DOI] [PubMed] [Google Scholar]
- 97.Wicherts JM, Bakker M, Molenaar D. Willingness to share research data is related to the strength of the evidence and the quality of reporting of statistical results. PLoS One. 2011;6:e26828. doi: 10.1371/journal.pone.0026828. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Baggerly K. More data, please! Clin Chem. 2013;59:459–61. doi: 10.1373/clinchem.2012.200501. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Ioannidis JP, Allison DB, Ball CA, Coulibaly I, Cui X, Culhane AC, et al. Repeatability of published microarray gene expression analyses. Nat Genet. 2009;41:149–55. doi: 10.1038/ng.295. [DOI] [PubMed] [Google Scholar]
- 100.Vines TH, Andrew RL, Bock DG, Franklin MT, Gilbert KJ, Kane NC, et al. Mandated data archiving greatly improves access to research data. Faseb J. 2013;27:1304–8. doi: 10.1096/fj.12-218164. [DOI] [PubMed] [Google Scholar]
- 101.Edgar R, Domrachev M, Lash AE. Gene expression omnibus: NCBI gene expression and hybridization array data repository. Nucleic Acids Res. 2002;30:207–10. doi: 10.1093/nar/30.1.207. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Brazma A, Parkinson H, Sarkans U, Shojatalab M, Vilo J, Abeygunawardena N, et al. ArrayExpress-a public repository for microarray gene expression data at the EBI. Nucleic Acids Res. 2003;31:68–71. doi: 10.1093/nar/gkg091. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Ikeo K, Ishi-i J, Tamura T, Gojobori T, Tateno Y. CIBEX: center for information biology gene expression database. C R Biol. 2003;326:1079–82. doi: 10.1016/j.crvi.2003.09.034. [DOI] [PubMed] [Google Scholar]
- 104.Kalra H, Simpson RJ, Ji H, Aikawa E, Altevogt P, Askenase P, et al. Vesiclepedia: a compendium for extracellular vesicles with continuous community annotation. PLoS Biol. 2012;10:e1001450. doi: 10.1371/journal.pbio.1001450. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Kim DK, Kang B, Kim OY, Choi DS, Lee J, Kim SR, et al. EVpedia: an integrated database of high-throughput data for systemic analyses of extracellular vesicles. J Extracell Vesicles. 2013;2 doi: 10.3402/jev.v2i0.20384. 20384, doi: http://dx.doi.org/10.3402/jev.v2i0.20384. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.George JN, Thoi LL, McManus LM, Reimann TA. Isolation of human platelet membrane microparticles from plasma and serum. Blood. 1982;60:834–40. [PubMed] [Google Scholar]
- 107.Gemmell CH, Sefton MV, Yeo EL. Platelet-derived microparticle formation involves glycoprotein IIb-IIIa. Inhibition by RGDS and a Glanzmann's thrombasthenia defect. J Biol Chem. 1993;268:14586–9. [PubMed] [Google Scholar]
- 108.Noerholm M, Balaj L, Limperg T, Salehi A, Zhu LD, Hochberg FH, et al. RNA expression patterns in serum microvesicles from patients with glioblastoma multiforme and controls. BMC Cancer. 2012;12:22. doi: 10.1186/1471-2407-12-22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Heegaard NH, Schetter AJ, Welsh JA, Yoneda M, Bowman ED, Harris CC. Circulating micro-RNA expression profiles in early stage nonsmall cell lung cancer. Int J Cancer. 2012;130:1378–86. doi: 10.1002/ijc.26153. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Wang K, Yuan Y, Cho JH, McClarty S, Baxter D, Galas DJ. Comparing the microRNA spectrum between serum and plasma. PLoS One. 2012;7:e41561. doi: 10.1371/journal.pone.0041561. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.D'Alessandra Y, Devanna P, Limana F, Straino S, Di Carlo A, Brambilla PG, et al. Circulating microRNAs are new and sensitive biomarkers of myocardial infarction. Eur Heart J. 2010;31:2765–73. doi: 10.1093/eurheartj/ehq167. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Chen X, Ba Y, Ma L, Cai X, Yin Y, Wang K, et al. Characterization of microRNAs in serum: a novel class of biomarkers for diagnosis of cancer and other diseases. Cell Res. 2008;18:997–1006. doi: 10.1038/cr.2008.282. [DOI] [PubMed] [Google Scholar]
- 113.Oberhauser AF, Balan V, Fernandez-Badilla CL, Fernandez JM. RT-PCR cloning of Rab3 isoforms expressed in peritoneal mast cells. FEBS Lett. 1994;339:171–4. doi: 10.1016/0014-5793(94)80409-5. [DOI] [PubMed] [Google Scholar]
- 114.Beutler E, Gelbart T, Kuhl W. Interference of heparin with the polymerase chain reaction. Biotechniques. 1990;9:166. [PubMed] [Google Scholar]
- 115.Yokota M, Tatsumi N, Nathalang O, Yamada T, Tsuda I. Effects of heparin on polymerase chain reaction for blood white cells. J Clin Lab Anal. 1999;13:133–40. doi: 10.1002/(SICI)1098-2825(1999)13:3<133::AID-JCLA8>3.0.CO;2-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Satsangi J, Jewell DP, Welsh K, Bunce M, Bell JI. Effect of heparin on polymerase chain reaction. Lancet. 1994;343:1509–10. doi: 10.1016/s0140-6736(94)92622-0. [DOI] [PubMed] [Google Scholar]
- 117.Krauel K, Hackbarth C, Furll B, Greinacher A. Heparin-induced thrombocytopenia: in vitro studies on the interaction of dabigatran, rivaroxaban, and low-sulfated heparin, with platelet factor 4 and anti-PF4/heparin antibodies. Blood. 2012;119:1248–55. doi: 10.1182/blood-2011-05-353391. [DOI] [PubMed] [Google Scholar]
- 118.Gao C, Boylan B, Fang J, Wilcox DA, Newman DK, Newman PJ. Heparin promotes platelet responsiveness by potentiating alphaIIbbeta3-mediated outside-in signaling. Blood. 2011;117:4946–52. doi: 10.1182/blood-2010-09-307751. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Kim DJ, Linnstaedt S, Palma J, Park JC, Ntrivalas E, Kwak-Kim JY, et al. Plasma components affect accuracy of circulating cancer-related microRNA quantitation. J Mol Diagn. 2012;14:71–80. doi: 10.1016/j.jmoldx.2011.09.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Johnson ML, Navanukraw C, Grazul-Bilska AT, Reynolds LP, Redmer DA. Heparinase treatment of RNA before quantitative real-time RT-PCR. Biotechniques. 2003;35:1140–2, 4. doi: 10.2144/03356bm03. [DOI] [PubMed] [Google Scholar]
- 121.Imai H, Yamada O, Morita S, Suehiro S, Kurimura T. Detection of HIV-1 RNA in heparinized plasma of HIV-1 seropositive individuals. J Virol Methods. 1992;36:181–4. doi: 10.1016/0166-0934(92)90149-8. [DOI] [PubMed] [Google Scholar]
- 122.Macey M, Azam U, McCarthy D, Webb L, Chapman ES, Okrongly D, et al. Evaluation of the anticoagulants EDTA and citrate, theophylline, adenosine, and dipyridamole (CTAD) for assessing platelet activation on the ADVIA 120 hematology system. Clin Chem. 2002;48:891–9. [PubMed] [Google Scholar]
- 123.Yuana Y, Bertina RM, Osanto S. Pre-analytical and analytical issues in the analysis of blood microparticles. Thromb Haemost. 2011;105:396–408. doi: 10.1160/TH10-09-0595. [DOI] [PubMed] [Google Scholar]
- 124.Robert S, Poncelet P, Lacroix R, Arnaud L, Giraudo L, Hauchard A, et al. Standardization of platelet-derived microparticle counting using calibrated beads and a Cytomics FC500 routine flow cytometer: a first step towards multicenter studies? J Thromb Haemost. 2009;7:190–7. doi: 10.1111/j.1538-7836.2008.03200.x. [DOI] [PubMed] [Google Scholar]
- 125.Gyorgy B, Szabo TG, Pasztoi M, Pal Z, Misjak P, Aradi B, et al. Membrane vesicles, current state-of-the-art: emerging role of extracellular vesicles. Cell Mol Life Sci. 2011;68:2667–88. doi: 10.1007/s00018-011-0689-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Lacroix R, Judicone C, Mooberry M, Boucekine M, Key NS, Dignat-George F. Standardization of pre-analytical variables in plasma microparticle determination: results of the International Society on Thrombosis and Haemostasis SSC Collaborative workshop. J Thromb Haemost. 2013 doi: 10.1111/jth.12207. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Jayachandran M, Miller VM, Heit JA, Owen WG. Methodology for isolation, identification and characterization of microvesicles in peripheral blood. J Immunol Methods. 2012;375:207–14. doi: 10.1016/j.jim.2011.10.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 128.Shah MD, Bergeron AL, Dong JF, Lopez JA. Flow cytometric measurement of microparticles: pitfalls and protocol modifications. Platelets. 2008;19:365–72. doi: 10.1080/09537100802054107. [DOI] [PubMed] [Google Scholar]
- 129.Lippi G, Fontana R, Avanzini P, Aloe R, Ippolito L, Sandei F, et al. Influence of mechanical trauma of blood and hemolysis on PFA-100 testing. Blood Coagul Fibrinolysis. 2012;23:82–6. doi: 10.1097/MBC.0b013e32834c6cb5. [DOI] [PubMed] [Google Scholar]
- 130.Lance MD, Henskens YM, Nelemans P, Theunissen MH, Oerle RV, Spronk HM, et al. Do blood collection methods influence whole-blood platelet function analysis? Platelets. 2012;24:275–81. doi: 10.3109/09537104.2012.689038. [DOI] [PubMed] [Google Scholar]
- 131.Breddin HK, Harder S. [The value of platelet function tests] Vasa. 2003;32:123–9. doi: 10.1024/0301-1526.32.3.123. [DOI] [PubMed] [Google Scholar]
- 132.Mani H, Kirchmayr K, Klaffling C, Schindewolf M, Luxembourg B, Linnemann B, et al. Influence of blood collection techniques on platelet function. Platelets. 2004;15:315–8. doi: 10.1080/09537100410001711505. [DOI] [PubMed] [Google Scholar]
- 133.Milburn JA, Ford I, Cassar K, Fluck N, Brittenden J. Platelet activation, coagulation activation and C-reactive protein in simultaneous samples from the vascular access and peripheral veins of haemodialysis patients. Int J Lab Hematol. 2012;34:52–8. doi: 10.1111/j.1751-553X.2011.01356.x. [DOI] [PubMed] [Google Scholar]
- 134.Lippi G, Salvagno GL, Montagnana M, Poli G, Guidi GC. Influence of the needle bore size on platelet count and routine coagulation testing. Blood Coagul Fibrinolysis. 2006;17:557–61. doi: 10.1097/01.mbc.0000245300.10387.ca. [DOI] [PubMed] [Google Scholar]
- 135.Lacroix R, Judicone C, Poncelet P, Robert S, Arnaud L, Sampol J, et al. Impact of pre-analytical parameters on the measurement of circulating microparticles: towards standardization of protocol. J Thromb Haemost. 2012;10:437–46. doi: 10.1111/j.1538-7836.2011.04610.x. [DOI] [PubMed] [Google Scholar]
- 136.Ayers L, Kohler M, Harrison P, Sargent I, Dragovic R, Schaap M, et al. Measurement of circulating cell-derived microparticles by flow cytometry: sources of variability within the assay. Thromb Res. 2011;127:370–7. doi: 10.1016/j.thromres.2010.12.014. [DOI] [PubMed] [Google Scholar]
- 137.Tofler GH, Brezinski D, Schafer AI, Czeisler CA, Rutherford JD, Willich SN, et al. Concurrent morning increase in platelet aggregability and the risk of myocardial infarction and sudden cardiac death. N Engl J Med. 1987;316:1514–8. doi: 10.1056/NEJM198706113162405. [DOI] [PubMed] [Google Scholar]
- 138.Czeisler CA, Duffy JF, Shanahan TL, Brown EN, Mitchell JF, Rimmer DW, et al. Stability, precision, and near-24-hour period of the human circadian pacemaker. Science. 1999;284:2177–81. doi: 10.1126/science.284.5423.2177. [DOI] [PubMed] [Google Scholar]
- 139.Haus E, Lakatua DJ, Swoyer J, Sackett-Lundeen L. Chronobiology in hematology and immunology. Am J Anat. 1983;168:467–517. doi: 10.1002/aja.1001680406. [DOI] [PubMed] [Google Scholar]
- 140.Seaman GV, Engel R, Swank RL, Hissen W. Circadian periodicity in some physicochemical parameters of circulating blood. Nature. 1965;207:833–5. doi: 10.1038/207833a0. [DOI] [PubMed] [Google Scholar]
- 141.Ehrly AM, Jung G. Circadian rhythm of human blood viscosity. Biorheology. 1973;10:577–83. doi: 10.3233/bir-1973-10411. [DOI] [PubMed] [Google Scholar]
- 142.Scheer FA, Michelson AD, Frelinger AL, 3rd, Evoniuk H, Kelly EE, McCarthy M, et al. The human endogenous circadian system causes greatest platelet activation during the biological morning independent of behaviors. PLoS One. 2011;6:e24549. doi: 10.1371/journal.pone.0024549. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 143.Lange T, Dimitrov S, Born J. Effects of sleep and circadian rhythm on the human immune system. Ann NY Acad Sci. 2010;1193:48–59. doi: 10.1111/j.1749-6632.2009.05300.x. [DOI] [PubMed] [Google Scholar]
- 144.Madden LA, Vince RV, Sandstrom ME, Taylor L, McNaughton L, Laden G. Microparticle-associated vascular adhesion molecule-1 and tissue factor follow a circadian rhythm in healthy human subjects. Thromb Haemost. 2008;99:909–15. doi: 10.1160/TH08-01-0030. [DOI] [PubMed] [Google Scholar]
- 145.Mutungi G, Waters D, Ratliff J, Puglisi M, Clark RM, Volek JS, et al. Eggs distinctly modulate plasma carotenoid and lipoprotein subclasses in adult men following a carbohydrate-restricted diet. J Nutr Biochem. 2010;21:261–7. doi: 10.1016/j.jnutbio.2008.12.011. [DOI] [PubMed] [Google Scholar]
- 146.Lapointe A, Couillard C, Lemieux S. Effects of dietary factors on oxidation of low-density lipoprotein particles. J Nutr Biochem. 2006;17:645–58. doi: 10.1016/j.jnutbio.2006.01.001. [DOI] [PubMed] [Google Scholar]
- 147.Potts JL, Coppack SW, Fisher RM, Humphreys SM, Gibbons GF, Frayn KN. Impaired postprandial clearance of triacylglycerol-rich lipoproteins in adipose tissue in obese subjects. Am J Physiol. 1995;268:E588–94. doi: 10.1152/ajpendo.1995.268.4.E588. [DOI] [PubMed] [Google Scholar]
- 148.Rosencranz R, Bogen SA. Clinical laboratory measurement of serum, plasma, and blood viscosity. Am J Clin Pathol. 2006;125(Suppl):S78–86. doi: 10.1309/FFF7U8RRPK26VAPY. [DOI] [PubMed] [Google Scholar]
- 149.Momen-Heravi F, Balaj L, Alian S, Trachtenberg AJ, Hochberg FH, Skog J, et al. Impact of biofluid viscosity on size and sedimentation efficiency of the isolated microvesicles. Front Physiol. 2012;3:162. doi: 10.3389/fphys.2012.00162. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150.Kwaan HC. Role of plasma proteins in whole blood viscosity: a brief clinical review. Clin Hemorheol Microcirc. 2010;44:167–76. doi: 10.3233/CH-2010-1271. [DOI] [PubMed] [Google Scholar]
- 151.Reinhart WH. Molecular biology and self-regulatory mechanisms of blood viscosity: a review. Biorheology. 2001;38:203–12. [PubMed] [Google Scholar]
- 152.Gertz MA. Waldenstrom macroglobulinemia: 2012 update on diagnosis, risk stratification, and management. Am J Hematol. 2012;87:503–10. doi: 10.1002/ajh.23192. [DOI] [PubMed] [Google Scholar]
- 153.Hunter MP, Ismail N, Zhang X, Aguda BD, Lee EJ, Yu L, et al. Detection of microRNA expression in human peripheral blood microvesicles. PLoS One. 2008;3:e3694. doi: 10.1371/journal.pone.0003694. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 154.Hess JR, Sparrow RL, van der Meer PF, Acker JP, Cardigan RA, Devine DV. Red blood cell hemolysis during blood bank storage: using national quality management data to answer basic scientific questions. Transfusion. 2009;49:2599–603. doi: 10.1111/j.1537-2995.2009.02275.x. [DOI] [PubMed] [Google Scholar]
- 155.Pritchard CC, Kroh E, Wood B, Arroyo JD, Dougherty KJ, Miyaji MM, et al. Blood cell origin of circulating microRNAs: a cautionary note for cancer biomarker studies. Cancer Prev Res (Phila) 2012;5:492–7. doi: 10.1158/1940-6207.CAPR-11-0370. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 156.Cattaneo M, Lecchi A, Zighetti ML, Lussana F. Platelet aggregation studies: autologous platelet-poor plasma inhibits platelet aggregation when added to platelet-rich plasma to normalize platelet count. Haematologica. 2007;92:694–7. doi: 10.3324/haematol.10999. [DOI] [PubMed] [Google Scholar]
- 157.Nilsson RJ, Balaj L, Hulleman E, van Rijn S, Pegtel DM, Walraven M, et al. Blood platelets contain tumor-derived RNA biomarkers. Blood. 2011;118:3680–3. doi: 10.1182/blood-2011-03-344408. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 158.Sharma S, Gillespie BM, Palanisamy V, Gimzewski JK. Quantitative nanostructural and single-molecule force spectroscopy biomolecular analysis of human-saliva-derived exosomes. Langmuir. 2011;27:14394–400. doi: 10.1021/la2038763. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 159.Michael A, Bajracharya SD, Yuen PS, Zhou H, Star RA, Illei GG, et al. Exosomes from human saliva as a source of microRNA biomarkers. Oral Dis. 2010;16:34–8. doi: 10.1111/j.1601-0825.2009.01604.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 160.Zakowski JJ, Bruns DE. Biochemistry of human alpha amylase isoenzymes. Crit Rev Clin Lab Sci. 1985;21:283–322. doi: 10.3109/10408368509165786. [DOI] [PubMed] [Google Scholar]
- 161.Gallo A, Tandon M, Alevizos I, Illei GG. The majority of microRNAs detectable in serum and saliva is concentrated in exosomes. PLoS One. 2012;7:e30679. doi: 10.1371/journal.pone.0030679. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 162.Gonzalez-Begne M, Lu B, Han X, Hagen FK, Hand AR, Melvin JE, et al. Proteomic analysis of human parotid gland exosomes by multidimensional protein identification technology (MudPIT) J Proteome Res. 2009;8:1304–14. doi: 10.1021/pr800658c. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 163.Dorn LD, Lucke JF, Loucks TL, Berga SL. Salivary cortisol reflects serum cortisol: analysis of circadian profiles. Ann Clin Biochem. 2007;44:281–4. doi: 10.1258/000456307780480954. [DOI] [PubMed] [Google Scholar]
- 164.Simkin M, Abdalla M, El-Mogy M, Haj-Ahmad Y. Differences in the quantity of DNA found in the urine and saliva of smokers versus nonsmokers: implications for the timing of epigenetic events. Epigenomics. 2012;4:343–52. doi: 10.2217/epi.12.24. [DOI] [PubMed] [Google Scholar]
- 165.Port K. Serum and saliva cortisol responses and blood lactate accumulation during incremental exercise testing. Int J Sports Med. 1991;12:490–4. doi: 10.1055/s-2007-1024720. [DOI] [PubMed] [Google Scholar]
- 166.Rohleder N, Nater UM. Determinants of salivary alpha-amylase in humans and methodological considerations. Psychoneuroendocrinology. 2009;34:469–85. doi: 10.1016/j.psyneuen.2008.12.004. [DOI] [PubMed] [Google Scholar]
- 167.Schwartz EB, Granger DA. Transferrin enzyme immunoassay for quantitative monitoring of blood contamination in saliva. Clin Chem. 2004;50:654–6. doi: 10.1373/clinchem.2003.028266. [DOI] [PubMed] [Google Scholar]
- 168.Harmon AG, Towe-Goodman NR, Fortunato CK, Granger DA. Differences in saliva collection location and disparities in baseline and diurnal rhythms of alpha-amylase: a preliminary note of caution. Horm Behav. 2008;54:592–6. doi: 10.1016/j.yhbeh.2008.05.019. [DOI] [PubMed] [Google Scholar]
- 169.Ogawa Y, Taketomi Y, Murakami M, Tsujimoto M, Yanoshita R. Small RNA transcriptomes of two types of exosomes in human whole saliva determined by next generation sequencing. Biol Pharm Bull. 2013;36:66–75. doi: 10.1248/bpb.b12-00607. [DOI] [PubMed] [Google Scholar]
- 170.Gonzales PA, Zhou H, Pisitkun T, Wang NS, Star RA, Knepper MA, et al. Isolation and purification of exosomes in urine. Methods Mol Biol. 2010;641:89–99. doi: 10.1007/978-1-60761-711-2_6. [DOI] [PubMed] [Google Scholar]
- 171.van Balkom BW, Pisitkun T, Verhaar MC, Knepper MA. Exosomes and the kidney: prospects for diagnosis and therapy of renal diseases. Kidney Int. 2011;80:1138–45. doi: 10.1038/ki.2011.292. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 172.Welton JL, Khanna S, Giles PJ, Brennan P, Brewis IA, Staffurth J, et al. Proteomics analysis of bladder cancer exosomes. Mol Cell Proteomics. 2010;9:1324–38. doi: 10.1074/mcp.M000063-MCP201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 173.Miranda KC, Bond DT, McKee M, Skog J, Paunescu TG, Da Silva N, et al. Nucleic acids within urinary exosomes/microvesicles are potential biomarkers for renal disease. Kidney Int. 2010;78:191–9. doi: 10.1038/ki.2010.106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 174.Zhou H, Yuen PS, Pisitkun T, Gonzales PA, Yasuda H, Dear JW, et al. Collection, storage, preservation, and normalization of human urinary exosomes for biomarker discovery. Kidney Int. 2006;69:1471–6. doi: 10.1038/sj.ki.5000273. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 175.Cheruvanky A, Zhou H, Pisitkun T, Kopp JB, Knepper MA, Yuen PS, et al. Rapid isolation of urinary exosomal biomarkers using a nanomembrane ultrafiltration concentrator. Am J Physiol Renal Physiol. 2007;292:F1657–61. doi: 10.1152/ajprenal.00434.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 176.Vyletal P, Bleyer AJ, Kmoch S. Uromodulin biology and pathophysiology-an update. Kidney Blood Press Res. 2010;33:456–75. doi: 10.1159/000321013. [DOI] [PubMed] [Google Scholar]
- 177.Hogan MC, Manganelli L, Woollard JR, Masyuk AI, Masyuk TV, Tammachote R, et al. Characterization of PKD protein-positive exosome-like vesicles. J Am Soc Nephrol. 2009;20:278–88. doi: 10.1681/ASN.2008060564. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 178.Fernandez-Llama P, Khositseth S, Gonzales PA, Star RA, Pisitkun T, Knepper MA. Tamm-Horsfall protein and urinary exosome isolation. Kidney Int. 2010;77:736–42. doi: 10.1038/ki.2009.550. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 179.Musante L, Saraswat M, Duriez E, Byrne B, Ravida A, Domon B, et al. Biochemical and physical characterisation of urinary nanovesicles following CHAPS treatment. PLoS One. 2012;7:e37279. doi: 10.1371/journal.pone.0037279. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 180.Howarth PH, Persson CG, Meltzer EO, Jacobson MR, Durham SR, Silkoff PE. Objective monitoring of nasal airway inflammation in rhinitis. J Allergy Clin Immunol. 2005;115:S414–41. doi: 10.1016/j.jaci.2004.12.1134. [DOI] [PubMed] [Google Scholar]
- 181.Zhuang X, Xiang X, Grizzle W, Sun D, Zhang S, Axtell RC, et al. Treatment of brain inflammatory diseases by delivering exosome encapsulated anti-inflammatory drugs from the nasal region to the brain. Mol Ther. 2011;19:1769–79. doi: 10.1038/mt.2011.164. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 182.Riechelmann H, Deutschle T, Friemel E, Gross HJ, Bachem M. Biological markers in nasal secretions. Eur Respir J. 2003;21:600–5. doi: 10.1183/09031936.03.00072003. [DOI] [PubMed] [Google Scholar]
- 183.Belda J, Parameswaran K, Keith PK, Hargreave FE. Repeatability and validity of cell and fluid-phase measurements in nasal fluid: a comparison of two methods of nasal lavage. Clin Exp Allergy. 2001;31:1111–5. doi: 10.1046/j.1365-2222.2001.01133.x. [DOI] [PubMed] [Google Scholar]
- 184.Deutschle T, Friemel E, Starnecker K, Riechelmann H. Nasal cytologies-impact of sampling method, repeated sampling and interobserver variability. Rhinology. 2005;43:215–20. [PubMed] [Google Scholar]
- 185.Roponen M, Seuri M, Nevalainen A, Randell J, Hirvonen MR. Nasal lavage method in the monitoring of upper airway inflammation: seasonal and individual variation. Inhal Toxicol. 2003;15:649–61. doi: 10.1080/08958370390197290. [DOI] [PubMed] [Google Scholar]
- 186.Di Lorenzo G, Mansueto P, Melluso M, Candore G, Colombo A, Pellitteri ME, et al. Allergic rhinitis to grass pollen: measurement of inflammatory mediators of mast cell and eosinophils in native nasal fluid lavage and in serum out of and during pollen season. J Allergy Clin Immunol. 1997;100:832–7. doi: 10.1016/s0091-6749(97)70281-1. [DOI] [PubMed] [Google Scholar]
- 187.Di Lorenzo G, Mansueto P, Melluso M, Morici G, Norrito F, Esposito Pellitteri M, et al. Non-specific airway hyperresponsiveness in mono-sensitive Sicilian patients with allergic rhinitis. Its relationship to total serum IgE levels and blood eosinophils during and out of the pollen season. Clin Exp Allergy. 1997;27:1052–9. doi: 10.1111/j.1365-2222.1997.tb01257.x. [DOI] [PubMed] [Google Scholar]
- 188.Ricca V, Landi M, Ferrero P, Bairo A, Tazzer C, Canonica GW, et al. Minimal persistent inflammation is also present in patients with seasonal allergic rhinitis. J Allergy Clin Immunol. 2000;105:54–7. doi: 10.1016/s0091-6749(00)90177-5. [DOI] [PubMed] [Google Scholar]
- 189.Henkin RI, Velicu I. cAMP and cGMP in nasal mucus: relationships to taste and smell dysfunction, gender and age. Clin Invest Med. 2008;31:E71–7. doi: 10.25011/cim.v31i2.3366. [DOI] [PubMed] [Google Scholar]
- 190.Labbok MH, Clark D, Goldman AS. Breastfeeding: maintaining an irreplaceable immunological resource. Nat Rev Immunol. 2004;4:565–72. doi: 10.1038/nri1393. [DOI] [PubMed] [Google Scholar]
- 191.Matheson MC, Allen KJ, Tang ML. Understanding the evidence for and against the role of breastfeeding in allergy prevention. Clin Exp Allergy. 2012;42:827–51. doi: 10.1111/j.1365-2222.2011.03925.x. [DOI] [PubMed] [Google Scholar]
- 192.Field CJ. The immunological components of human milk and their effect on immune development in infants. J Nutr. 2005;135:1–4. doi: 10.1093/jn/135.1.1. [DOI] [PubMed] [Google Scholar]
- 193.Zhou Q, Li M, Wang X, Li Q, Wang T, Zhu Q, et al. Immune-related microRNAs are abundant in breast milk exosomes. Int J Biol Sci. 2012;8:118–23. doi: 10.7150/ijbs.8.118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 194.Reinhardt TA, Lippolis JD, Nonnecke BJ, Sacco RE. Bovine milk exosome proteome. J Proteomics. 2011;75:1486–92. doi: 10.1016/j.jprot.2011.11.017. [DOI] [PubMed] [Google Scholar]
- 195.Hata T, Murakami K, Nakatani H, Yamamoto Y, Matsuda T, Aoki N. Isolation of bovine milk-derived microvesicles carrying mRNAs and microRNAs. Biochem Biophys Res Commun. 2010;396:528–33. doi: 10.1016/j.bbrc.2010.04.135. [DOI] [PubMed] [Google Scholar]
- 196.Yamada T, Inoshima Y, Matsuda T, Ishiguro N. Comparison of methods for isolating exosomes from bovine milk. J Vet Med Sci. 2012;74:1523–5. doi: 10.1292/jvms.12-0032. [DOI] [PubMed] [Google Scholar]
- 197.Lawrence RM, Pane CA. Human breast milk: current concepts of immunology and infectious diseases. Curr Probl Pediatr Adolesc Health Care. 2007;37:7–36. doi: 10.1016/j.cppeds.2006.10.002. [DOI] [PubMed] [Google Scholar]
- 198.Macias C, Schweigert FJ. Changes in the concentration of carotenoids, vitamin A, alpha-tocopherol and total lipids in human milk throughout early lactation. Ann Nutr Metab. 2001;45:82–5. doi: 10.1159/000046711. [DOI] [PubMed] [Google Scholar]
- 199.Castellote C, Casillas R, Ramirez-Santana C, Perez-Cano FJ, Castell M, Moretones MG, et al. Premature delivery influences the immunological composition of colostrum and transitional and mature human milk. J Nutr. 2011;141:1181–7. doi: 10.3945/jn.110.133652. [DOI] [PubMed] [Google Scholar]
- 200.Wilde CJ, Knight CH, Flint DJ. Control of milk secretion and apoptosis during mammary involution. J Mammary Gland Biol Neoplasia. 1999;4:129–36. doi: 10.1023/a:1018717006152. [DOI] [PubMed] [Google Scholar]
- 201.Lopez C, Menard O. Human milk fat globules: polar lipid composition and in situ structural investigations revealing the heterogeneous distribution of proteins and the lateral segregation of sphingomyelin in the biological membrane. Colloids Surf B Biointerfaces. 2011;83:29–41. doi: 10.1016/j.colsurfb.2010.10.039. [DOI] [PubMed] [Google Scholar]
- 202.Lawrence RA. Storage of human milk and the influence of procedures on immunological components of human milk. Acta Paediatr Suppl. 1999;88:14–8. doi: 10.1111/j.1651-2227.1999.tb01295.x. [DOI] [PubMed] [Google Scholar]
- 203.Saarela T, Kokkonen J, Koivisto M. Macronutrient and energy contents of human milk fractions during the first six months of lactation. Acta Paediatr. 2005;94:1176–81. doi: 10.1111/j.1651-2227.2005.tb02070.x. [DOI] [PubMed] [Google Scholar]
- 204.Pittard WB, 3rd, Bill K. Human milk banking. Effect of refrigeration on cellular components. Clin Pediatr (Phila) 1981;20:31–3. doi: 10.1177/000992288102000104. [DOI] [PubMed] [Google Scholar]
- 205.Mehta NR, Jones JB, Hamosh M. Lipases in preterm human milk: ontogeny and physiologic significance. J Pediatr Gastroenterol Nutr. 1982;1:317–26. doi: 10.1097/00005176-198201030-00007. [DOI] [PubMed] [Google Scholar]
- 206.Harrington MG, Fonteh AN, Oborina E, Liao P, Cowan RP, McComb G, et al. The morphology and biochemistry of nanostructures provide evidence for synthesis and signaling functions in human cerebrospinal fluid. Cerebrospinal Fluid Res. 2009;6:10. doi: 10.1186/1743-8454-6-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 207.Filatov MV, Landa SB, Pantina RA, Garmai Iu P. [Investigation of exosomes secreted by different normal and malignant cells in vitro and in vivo] Klin Lab Diagn. 2010:35–43. [PubMed] [Google Scholar]
- 208.Vella LJ, Greenwood DL, Cappai R, Scheerlinck JP, Hill AF. Enrichment of prion protein in exosomes derived from ovine cerebral spinal fluid. Vet Immunol Immunopathol. 2008;124:385–93. doi: 10.1016/j.vetimm.2008.04.002. [DOI] [PubMed] [Google Scholar]
- 209.Saman S, Kim W, Raya M, Visnick Y, Miro S, Jackson B, et al. Exosome-associated tau is secreted in tauopathy models and is selectively phosphorylated in cerebrospinal fluid in early Alzheimer disease. J Biol Chem. 2012;287:3842–9. doi: 10.1074/jbc.M111.277061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 210.Teunissen CE, Tumani H, Bennett JL, Berven FS, Brundin L, Comabella M, et al. Consensus guidelines for CSF and blood biobanking for CNS biomarker studies. Mult Scler Int. 2011:246412. doi: 10.1155/2011/246412. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
- 211.PrecisionMed. PrecisionMed 2013. [cited 2013 April 5]. Available from: http://www.precisionmed.com/cerebrospinal-fluid.
- 212.Irani DN, Anderson C, Gundry R, Cotter R, Moore S, Kerr DA, et al. Cleavage of cystatin C in the cerebrospinal fluid of patients with multiple sclerosis. Ann Neurol. 2006;59:237–47. doi: 10.1002/ana.20786. [DOI] [PubMed] [Google Scholar]
- 213.Mullen KM, Gocke AR, Allie R, Ntranos A, Grishkan IV, Pardo C, et al. Expression of CCR7 and CD45RA in CD4+ and CD8+ subsets in cerebrospinal fluid of 134 patients with inflammatory and non-inflammatory neurological diseases. J Neuroimmunol. 2012;249:86–92. doi: 10.1016/j.jneuroim.2012.04.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 214.Blanchard N, Lankar D, Faure F, Regnault A, Dumont C, Raposo G, et al. TCR activation of human T cells induces the production of exosomes bearing the TCR/CD3/zeta complex. J Immunol. 2002;168:3235–41. doi: 10.4049/jimmunol.168.7.3235. [DOI] [PubMed] [Google Scholar]
- 215.Raposo G, Tenza D, Mecheri S, Peronet R, Bonnerot C, Desaymard C. Accumulation of major histocompatibility complex class II molecules in mast cell secretory granules and their release upon degranulation. Mol Biol Cell. 1997;8:2631–45. doi: 10.1091/mbc.8.12.2631. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 216.Hess C, Sadallah S, Hefti A, Landmann R, Schifferli JA. Ectosomes released by human neutrophils are specialized functional units. J Immunol. 1999;163:4564–73. [PubMed] [Google Scholar]
- 217.Montecalvo A, Shufesky WJ, Stolz DB, Sullivan MG, Wang Z, Divito SJ, et al. Exosomes as a short-range mechanism to spread alloantigen between dendritic cells during T cell allorecognition. J Immunol. 2008;180:3081–90. doi: 10.4049/jimmunol.180.5.3081. [DOI] [PubMed] [Google Scholar]
- 218.Wolf P. The nature and significance of platelet products in human plasma. Br J Haematol. 1967;13:269–88. doi: 10.1111/j.1365-2141.1967.tb08741.x. [DOI] [PubMed] [Google Scholar]
- 219.Turchinovich A, Weiz L, Burwinkel B. Extracellular miRNAs: the mystery of their origin and function. Trends Biochem Sci. 2012;37:460–5. doi: 10.1016/j.tibs.2012.08.003. [DOI] [PubMed] [Google Scholar]
- 220.Sokolova V, Ludwig AK, Hornung S, Rotan O, Horn PA, Epple M, et al. Characterisation of exosomes derived from human cells by nanoparticle tracking analysis and scanning electron microscopy. Colloids Surf B Biointerfaces. 2011;87:146–50. doi: 10.1016/j.colsurfb.2011.05.013. [DOI] [PubMed] [Google Scholar]
- 221.Svedberg T, Pederson KO. Oxford, UK: Oxford University; 1940. The ultracentrifuge. [Google Scholar]
- 222.Zinsser H, Tang FF. Studies in ultrafiltration. J Exp Med. 1927;46:357–78. doi: 10.1084/jem.46.2.357. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 223.Elkana Y, Thornton A, Zuckerman AJ. Purification of hepatitis A virus by affinity chromatography. J Immunol Methods. 1979;25:185–7. doi: 10.1016/0022-1759(79)90054-1. [DOI] [PubMed] [Google Scholar]
- 224.Lamparski HG, Metha-Damani A, Yao JY, Patel S, Hsu DH, Ruegg C, et al. Production and characterization of clinical grade exosomes derived from dendritic cells. J Immunol Methods. 2002;270:211–26. doi: 10.1016/s0022-1759(02)00330-7. [DOI] [PubMed] [Google Scholar]
- 225.Kadiu I, Narayanasamy P, Dash PK, Zhang W, Gendelman HE. Biochemical and biologic characterization of exosomes and microvesicles as facilitators of HIV-1 infection in macrophages. J Immunol. 2012;189:744–54. doi: 10.4049/jimmunol.1102244. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 226.Ismail N, Wang Y, Dakhlallah D, Moldovan L, Agarwal K, Batte K, et al. Macrophage microvesicles induce macrophage differentiation and miR-223 transfer. Blood. 2012;121:984–95. doi: 10.1182/blood-2011-08-374793. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 227.Kessler RJ, Fanestil DD. Interference by lipids in the determination of protein using bicinchoninic acid. Anal Biochem. 1986;159:138–42. doi: 10.1016/0003-2697(86)90318-0. [DOI] [PubMed] [Google Scholar]
- 228.Palma J, Yaddanapudi SC, Pigati L, Havens MA, Jeong S, Weiner GA, et al. MicroRNAs are exported from malignant cells in customized particles. Nucleic Acids Res. 2012;40:9125–38. doi: 10.1093/nar/gks656. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 229.Aalberts M, van Dissel-Emiliani FM, van Adrichem NP, van Wijnen M, Wauben MH, Stout TA, et al. Identification of distinct populations of prostasomes that differentially express prostate stem cell antigen, annexin A1, and GLIPR2 in humans. Biol Reprod. 2012;86:82. doi: 10.1095/biolreprod.111.095760. [DOI] [PubMed] [Google Scholar]
- 230.Rickwood D, Ford T, Steensgaard J. Centrifugation: essential data. West Sussex, UK: John Wiley & Sons Ltd; 1994. [Google Scholar]
- 231.Clayton A, Court J, Navabi H, Adams M, Mason MD, Hobot JA, et al. Analysis of antigen presenting cell derived exosomes, based on immuno-magnetic isolation and flow cytometry. J Immunol Methods. 2001;247:163–74. doi: 10.1016/s0022-1759(00)00321-5. [DOI] [PubMed] [Google Scholar]
- 232.Rabesandratana H, Toutant JP, Reggio H, Vidal M. Decay-accelerating factor (CD55) and membrane inhibitor of reactive lysis (CD59) are released within exosomes during In vitro maturation of reticulocytes. Blood. 1998;91:2573–80. [PubMed] [Google Scholar]
- 233.Wubbolts R, Leckie RS, Veenhuizen PT, Schwarzmann G, Mobius W, Hoernschemeyer J, et al. Proteomic and biochemical analyses of human B cell-derived exosomes. Potential implications for their function and multivesicular body formation. J Biol Chem. 2003;278:10963–72. doi: 10.1074/jbc.M207550200. [DOI] [PubMed] [Google Scholar]
- 234.Kim G, Yoo CE, Kim M, Kang HJ, Park D, Lee M, et al. Noble polymeric surface conjugated with zwitterionic moieties and antibodies for the isolation of exosomes from human serum. Bioconjug Chem. 2012;23:2114–20. doi: 10.1021/bc300339b. [DOI] [PubMed] [Google Scholar]
- 235.Yoo CE, Kim G, Kim M, Park D, Kang HJ, Lee M, et al. A direct extraction method for microRNAs from exosomes captured by immunoaffinity beads. Anal Biochem. 2012;431:96–8. doi: 10.1016/j.ab.2012.09.008. [DOI] [PubMed] [Google Scholar]
- 236.Mathivanan S, Lim JW, Tauro BJ, Ji H, Moritz RL, Simpson RJ. Proteomics analysis of A33 immunoaffinity-purified exosomes released from the human colon tumor cell line LIM1215 reveals a tissue-specific protein signature. Mol Cell Proteomics. 2010;9:197–208. doi: 10.1074/mcp.M900152-MCP200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 237.Mathivanan S, Simpson RJ. ExoCarta: a compendium of exosomal proteins and RNA. Proteomics. 2009;9:4997–5000. doi: 10.1002/pmic.200900351. [DOI] [PubMed] [Google Scholar]
- 238.Chen C, Skog J, Hsu CH, Lessard RT, Balaj L, Wurdinger T, et al. Microfluidic isolation and transcriptome analysis of serum microvesicles. Lab Chip. 2010;10:505–11. doi: 10.1039/b916199f. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 239.Coren LV, Shatzer T, Ott DE. CD45 immunoaffinity depletion of vesicles from Jurkat T cells demonstrates that exosomes contain CD45: no evidence for a distinct exosome/HIV-1 budding pathway. Retrovirology. 2008;5:64. doi: 10.1186/1742-4690-5-64. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 240.Ott DE. Purification of HIV-1 virions by subtilisin digestion or CD45 immunoaffinity depletion for biochemical studies. Methods Mol Biol. 2009;485:15–25. doi: 10.1007/978-1-59745-170-3_2. [DOI] [PubMed] [Google Scholar]
- 241.Tauro BJ, Greening DW, Mathias RA, Ji H, Mathivanan S, Scott AM, et al. Comparison of ultracentrifugation, density gradient separation, and immunoaffinity capture methods for isolating human colon cancer cell line LIM1863-derived exosomes. Methods. 2012;56:293–304. doi: 10.1016/j.ymeth.2012.01.002. [DOI] [PubMed] [Google Scholar]
- 242.Rana S, Yue S, Stadel D, Zoller M. Toward tailored exosomes: the exosomal tetraspanin web contributes to target cell selection. Int J Biochem Cell Biol. 2012;44:1574–84. doi: 10.1016/j.biocel.2012.06.018. [DOI] [PubMed] [Google Scholar]
- 243.Alvarez ML, Khosroheidari M, Kanchi Ravi R, Distefano JK. Comparison of protein, microRNA, and mRNA yields using different methods of urinary exosome isolation for the discovery of kidney disease biomarkers. Kidney Int. 2012;82:1024–32. doi: 10.1038/ki.2012.256. [DOI] [PubMed] [Google Scholar]
- 244.Taylor DD, Zacharias W, Gercel-Taylor C. Exosome isolation for proteomic analyses and RNA profiling. Methods Mol Biol. 2011;728:235–46. doi: 10.1007/978-1-61779-068-3_15. [DOI] [PubMed] [Google Scholar]
- 245.Pisitkun T, Shen RF, Knepper MA. Identification and proteomic profiling of exosomes in human urine. Proc Natl Acad Sci USA. 2004;101:13368–73. doi: 10.1073/pnas.0403453101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 246.Bhagat AA, Kuntaegowdanahalli SS, Papautsky I. Continuous particle separation in spiral microchannels using Dean flows and differential migration. Lab Chip. 2008;8:1906–14. doi: 10.1039/b807107a. [DOI] [PubMed] [Google Scholar]
- 247.Winkleman A, Perez-Castillejos R, Gudiksen KL, Phillips ST, Prentiss M, Whitesides GM. Density-based diamagnetic separation: devices for detecting binding events and for collecting unlabeled diamagnetic particles in paramagnetic solutions. Anal Chem. 2007;79:6542–50. doi: 10.1021/ac070500b. [DOI] [PubMed] [Google Scholar]
- 248.van der Pol E, Hoekstra AG, Sturk A, Otto C, van Leeuwen TG, Nieuwland R. Optical and non-optical methods for detection and characterization of microparticles and exosomes. J Thromb Haemost. 2010;8:2596–607. doi: 10.1111/j.1538-7836.2010.04074.x. [DOI] [PubMed] [Google Scholar]
- 249.Sustar V, Bedina-Zavec A, Stukelj R, Frank M, Bobojevic G, Jansa R, et al. Nanoparticles isolated from blood: a reflection of vesiculability of blood cells during the isolation process. Int J Nanomedicine. 2011;6:2737–48. doi: 10.2147/IJN.S24537. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 250.Cloutier N, Tan S, Boudreau LH, Cramb C, Subbaiah R, Lahey L, et al. The exposure of autoantigens by microparticles underlies the formation of potent inflammatory components: the microparticle-associated immune complexes. EMBO Mol Med. 2012;5:235–49. doi: 10.1002/emmm.201201846. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 251.Lee Y, El Andaloussi S, Wood MJ. Exosomes and microvesicles: extracellular vesicles for genetic information transfer and gene therapy. Hum Mol Genet. 2012;21:R125–34. doi: 10.1093/hmg/dds317. [DOI] [PubMed] [Google Scholar]
- 252.Binnig G, Quate CF, Gerber C. Atomic force microscope. Phys Rev Lett. 1986;56:930–3. doi: 10.1103/PhysRevLett.56.930. [DOI] [PubMed] [Google Scholar]
- 253.Allison DP, Mortensen NP, Sullivan CJ, Doktycz MJ. Atomic force microscopy of biological samples. Wiley Interdiscip Rev Nanomed Nanobiotechnol. 2010;2:618–34. doi: 10.1002/wnan.104. [DOI] [PubMed] [Google Scholar]
- 254.Yuana Y, Oosterkamp TH, Bahatyrova S, Ashcroft B, Garcia Rodriguez P, Bertina RM, et al. Atomic force microscopy: a novel approach to the detection of nanosized blood microparticles. J Thromb Haemost. 2010;8:315–23. doi: 10.1111/j.1538-7836.2009.03654.x. [DOI] [PubMed] [Google Scholar]
- 255.Sharma S, Rasool HI, Palanisamy V, Mathisen C, Schmidt M, Wong DT, et al. Structural-mechanical characterization of nanoparticle exosomes in human saliva, using correlative AFM, FESEM, and force spectroscopy. ACS Nano. 2010;4:1921–6. doi: 10.1021/nn901824n. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 256.Dragovic RA, Gardiner C, Brooks AS, Tannetta DS, Ferguson DJ, Hole P, et al. Sizing and phenotyping of cellular vesicles using Nanoparticle Tracking Analysis. Nanomedicine. 2011;7:780–8. doi: 10.1016/j.nano.2011.04.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 257.Bell NC, Minelli C, Tompkins J, Stevens MM, Shard AG. Emerging techniques for submicrometer particle sizing applied to Stober silica. Langmuir. 2012;28:10860–72. doi: 10.1021/la301351k. [DOI] [PubMed] [Google Scholar]
- 258.Filipe V, Hawe A, Jiskoot W. Critical evaluation of Nanoparticle Tracking Analysis (NTA) by NanoSight for the measurement of nanoparticles and protein aggregates. Pharm Res. 2010;27:796–810. doi: 10.1007/s11095-010-0073-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 259.Gardiner C, Ferreira YJ, Dragovic RA, Redman CW, Sargeant II. Extracellular vesicle sizing and enumeration by Nanoparticle Tracking Analysis. J Extracell Vesicles. 2013;2 doi: 10.3402/jev.v2i0.19671. 19671, doi: http://dx.doi.org/10.3402/jev.v2i0.19671. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 260.Gercel-Taylor C, Atay S, Tullis RH, Kesimer M, Taylor DD. Nanoparticle analysis of circulating cell-derived vesicles in ovarian cancer patients. Anal Biochem. 2012;428:44–53. doi: 10.1016/j.ab.2012.06.004. [DOI] [PubMed] [Google Scholar]
- 261.Momen-Heravi F, Balaj L, Alian S, Tigges J, Toxavidis V, Ericsson M, et al. Alternative methods for characterization of extracellular vesicles. Front Physiol. 2012;3:354. doi: 10.3389/fphys.2012.00354. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 262.Garza-Licudine E, Deo D, Yu S, Uz-Zaman A, Dunbar WB. Portable nanoparticle quantization using a resizable nanopore instrument – the IZON qNano. Conf Proc IEEE Eng Med Biol Soc. 2010;2010:5736–9. doi: 10.1109/IEMBS.2010.5627861. [DOI] [PubMed] [Google Scholar]
- 263.de Vrij J, Maas SL, van Nispen M, Sena-Esteves M, Limpens RW, Koster AJ, et al. Quantification of nanosized extracellular membrane vesicles with scanning ion occlusion sensing. Nanomedicine (Lond); 2013. [DOI] [PubMed] [Google Scholar]
- 264.Sahoo S, Klychko E, Thorne T, Misener S, Schultz KM, Millay M, et al. Exosomes from human CD34(+) stem cells mediate their proangiogenic paracrine activity. Circ Res. 2011;109:724–8. doi: 10.1161/CIRCRESAHA.111.253286. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 265.Lacroix R, Robert S, Poncelet P, Kasthuri RS, Key NS, Dignat-George F. Standardization of platelet-derived microparticle enumeration by flow cytometry with calibrated beads: results of the International Society on Thrombosis and Haemostasis SSC Collaborative workshop. J Thromb Haemost. 2010;8:2571–4. doi: 10.1111/j.1538-7836.2010.04047.x. [DOI] [PubMed] [Google Scholar]
- 266.Lacroix R, Robert S, Poncelet P, Dignat-George F. Overcoming limitations of microparticle measurement by flow cytometry. Semin Thromb Hemost. 2010;36:807–18. doi: 10.1055/s-0030-1267034. [DOI] [PubMed] [Google Scholar]
- 267.Chandler WL, Yeung W, Tait JF. A new microparticle size calibration standard for use in measuring smaller microparticles using a new flow cytometer. J Thromb Haemost. 2011;9:1216–24. doi: 10.1111/j.1538-7836.2011.04283.x. [DOI] [PubMed] [Google Scholar]
- 268.Robert S, Lacroix R, Poncelet P, Harhouri K, Bouriche T, Judicone C, et al. High-sensitivity flow cytometry provides access to standardized measurement of small-size microparticles-brief report. Arterioscler Thromb Vasc Biol. 2012;32:1054–8. doi: 10.1161/ATVBAHA.111.244616. [DOI] [PubMed] [Google Scholar]
- 269.van der Vlist EJ, Nolte-‘t Hoen EN, Stoorvogel W, Arkesteijn GJ, Wauben MH. Fluorescent labeling of nano-sized vesicles released by cells and subsequent quantitative and qualitative analysis by high-resolution flow cytometry. Nat Protoc. 2012;7:1311–26. doi: 10.1038/nprot.2012.065. [DOI] [PubMed] [Google Scholar]
- 270.Mullier F, Bailly N, Chatelain C, Dogne JM, Chatelain B. More on: calibration for the measurement of microparticles: needs, interests, and limitations of calibrated polystyrene beads for flow cytometry-based quantification of biological microparticles. J Thromb Haemost. 2011;9:1679–81. doi: 10.1111/j.1538-7836.2011.04386.x. author reply 81–2. [DOI] [PubMed] [Google Scholar]
- 271.Aass HC, Ovstebo R, Troseid AM, Kierulf P, Berg JP, Henriksson CE. Fluorescent particles in the antibody solution result in false TF- and CD14-positive microparticles in flow cytometric analysis. Cytometry A. 2011;79:990–9. doi: 10.1002/cyto.a.21147. [DOI] [PubMed] [Google Scholar]
- 272.Gyorgy B, Szabo TG, Turiak L, Wright M, Herczeg P, Ledeczi Z, et al. Improved flow cytometric assessment reveals distinct microvesicle (cell-derived microparticle) signatures in joint diseases. PLoS One. 2012;7:e49726. doi: 10.1371/journal.pone.0049726. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 273.Buschow SI, Nolte-‘t Hoen EN, van Niel G, Pols MS, ten Broeke T, Lauwen M, et al. MHC II in dendritic cells is targeted to lysosomes or T cell-induced exosomes via distinct multivesicular body pathways. Traffic. 2009;10:1528–42. doi: 10.1111/j.1600-0854.2009.00963.x. [DOI] [PubMed] [Google Scholar]
- 274.Larson MC, Luthi MR, Hogg N, Hillery CA. Calcium-phosphate microprecipitates mimic microparticles when examined with flow cytometry. Cytometry A. 2013;83:242–50. doi: 10.1002/cyto.a.22222. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 275.van der Pol E, van Gemert MJ, Sturk A, Nieuwland R, van Leeuwen TG. Single vs. swarm detection of microparticles and exosomes by flow cytometry. J Thromb Haemost. 2012;10:919–30. doi: 10.1111/j.1538-7836.2012.04683.x. [DOI] [PubMed] [Google Scholar]
- 276.Bobrie A, Colombo M, Krumeich S, Raposo G, Théry C. Diverse subpopulations of vesicles secreted by different intracellular mechanisms are present in exosome preparations obtained by differential ultracentrifugation. J Extracell Vesicles. 2012;1 doi: 10.3402/jev.v1i0.18397. 18397, doi: http://dx.doi.org/10.3402/jev.v1i0.18397. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 277.van der Vlist EJ, Arkesteijn GJ, van de Lest CHA, Stoorvogel W, Nolte-‘t Hoen EN, Wauben MH. CD4+ T cell activation promotes the differential release of distinct populations of nanosized vesicles. J Extracell Vesicles. 2012;1 doi: 10.3402/jev.v1i0.18364. 18364, doi: http://dx.doi.org/10.3402/jev.v1i0.18364. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 278.Nolte-‘t Hoen EN, van der Vlist EJ, de Boer-Brouwer M, Arkesteijn GJ, Stoorvogel W, Wauben MH. Dynamics of dendritic cell-derived vesicles: high-resolution flow cytometric analysis of extracellular vesicle quantity and quality. J Leukoc Biol. 2013;93:395–402. doi: 10.1189/jlb.0911480. [DOI] [PubMed] [Google Scholar]
- 279.Brinkmann V, Reichard U, Goosmann C, Fauler B, Uhlemann Y, Weiss DS, et al. Neutrophil extracellular traps kill bacteria. Science. 2004;303:1532–5. doi: 10.1126/science.1092385. [DOI] [PubMed] [Google Scholar]
- 280.Phillipson M, Kubes P. The neutrophil in vascular inflammation. Nat Med. 2011;17:1381–90. doi: 10.1038/nm.2514. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 281.Williams JC, Mackman N. MPs or ICs? Blood. 2011;117:1101–2. doi: 10.1182/blood-2010-11-318691. [DOI] [PubMed] [Google Scholar]