Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2020 Aug 24;15(8):e0237795. doi: 10.1371/journal.pone.0237795

Characterization and internalization of small extracellular vesicles released by human primary macrophages derived from circulating monocytes

Luis A Arteaga-Blanco 1, Andrés Mojoli 1, Robson Q Monteiro 2, Vanessa Sandim 2, Rubem F S Menna-Barreto 3, Filipe Santos Pereira-Dutra 4, Patrícia T Bozza 4, Rafael de Oliveira Resende 1, Dumith Chequer Bou-Habib 1,5,*
Editor: Amitava Mukherjee6
PMCID: PMC7444811  PMID: 32833989

Abstract

Extracellular vesicles (EVs) are small membrane-limited structures derived from outward budding of the plasma membrane or endosomal system that participate in cellular communication processes through the transport of bioactive molecules to recipient cells. To date, there are no published methodological works showing step-by-step the isolation, characterization and internalization of small EVs secreted by human primary macrophages derived from circulating monocytes (MDM-derived sEVs). Thus, here we aimed to provide an alternative protocol based on differential ultracentrifugation (dUC) to describe small EVs (sEVs) from these cells. Monocyte-derived macrophages were cultured in EV-free medium during 24, 48 or 72 h and, then, EVs were isolated from culture supernatants by (dUC). Macrophages secreted a large amount of sEVs in the first 24 h, with size ranging from 40–150 nm, peaking at 105 nm, as evaluated by nanoparticle tracking analysis and scanning electron microscopy. The markers Alix, CD63 and CD81 were detected by immunoblotting in EV samples, and the co-localization of CD63 and CD81 after sucrose density gradient ultracentrifugation (S-DGUC) indicated the presence of sEVs from late endosomal origin. Confocal fluorescence revealed that the sEVs were internalized by primary macrophages after three hours of co-culture. The methodology here applied aims to contribute for enhancing reproducibility between the limited number of available protocols for the isolation and characterization of MDM-derived sEVs, thus providing basic knowledge in the area of EV methods that can be useful for those investigators working with sEVs released by human primary macrophages derived from circulating monocytes.

Introduction

Cells can communicate with each other through the secretion of extracellular vesicles (EVs) [1], which are small membrane-limited particles composed by a phospholipidic bilayer naturally released in the extracellular environment by different types of cells [2, 3]. These vesicles are present in many biological fluids, including amniotic and cerebrospinal fluids, blood, breast milk, urine, saliva, and semen [410]. Accumulated evidence has demonstrated that EVs participate in cell-to-cell communication through the transport of bioactive molecules, such as antigen-presenting molecules, membrane receptors, proteins, lipids, cytokines, DNA, RNA, mRNAs, and microRNAs [1113]. The EV-mediated intercellular signaling contributes to the regulation of pathological or physiological cell processes, such as angiogenesis, maintenance of homeostasis, cardiovascular diseases, cell signaling, inflammation, and cancer [1315]. Moreover, EVs are taken up by macrophages, thus functioning as a vehicle to exchange components among cells of the immune system and to strengthen the immune response against pathogens [1618].

Although in recent years there has been much progress on the understanding of the fundamental biology of EVs, some aspects related to their biogenesis, secretion mechanisms, interaction with recipient cell and function are not yet clear [13, 19]. One reason is that current protocols for EV isolation do not guarantee the purification of specific EV subtypes, resulting in a mixture of heterogeneous vesicles derived from different subcellular fractions. This limitation hampers a better understanding of the role of a given EV subtype in specific physiological or pathological processes [19, 20]. Therefore, it is essential to know the physical and biochemical characteristics of EVs through several analytical methods that allow assessing their purity, integrity, concentration, and interaction with recipients cells before evaluating the functional properties of these vesicles [13, 21].

Currently, EV types may be classified according to their intracellular origins (endosomal system or plasma membrane), sizes, and density ranges [19]. Based on their size, EVs are subdivided into three groups: large EVs (LEVs, >300 nm in diameter), derived from the outward budding and fission from the plasma membrane of apoptotic or healthy cells [22, 23]; intermediate size EVs (IEVs, 150–300 nm), and small EVs (sEVs, <150 nm), originated from endosomal or non-endosomal systems [19, 20]. sEVs from the endosomal system have been shown to be originated from intraluminal vesicles (ILVs) contained in cytosolic multivesicular bodies (MVBs), which later fuse with the plasma membrane releasing them in the extracellular environment [24, 25]. Moreover, EVs can be co-isolated with other particles, like exomeres and lipoproteins from various densities (high, intermediate and low) when using differential ultracentrifugation (dUC) method [19, 26]. Given that apoptotic bodies are released from cells during the process of apoptosis [27, 28], here the term extracellular vesicles (EVs) will be used to refer only to vesicle preparations containing intermediate and small EVs obtained from healthy cells.

Most of the studies about EVs from human cells have been made with cell lineages, including HeLa [29, 30], THP-1 [18, 31], HEK [32, 33], HMC-1 [34, 35], intestinal cell lines [36], or brain endothelial cells lines [37, 38], and few with primary cells, such as dendritic cells (DCs) [3941] or neutrophils [42]. However, detailed protocol for isolation, characterization, and analysis of interaction with recipient cells of sEVs released by primary human macrophages derived from circulating monocytes are barely available.

Macrophages play essential roles in the activation and modulation of innate and adaptive immune responses against a repertoire of pathogens, including bacteria, protozoan parasites, fungi and viruses, thus critically contributing for the preservation of the host physiologic homeostasis throughout life [43, 44]. Moreover, macrophages participate in many physiologic processes, such as brain development [45], bone remodeling [46], erythropoiesis [47], tissue regeneration [48], and the interaction between the immune and neuroendocrine systems [49]. Because few works have described the characterization of EVs from human primary macrophages, and taking into account that the adherence to rigorous criteria for EV isolation is essential for obtaining reliable experimental results, we present here an alternative protocol, based on classical dUC method, for isolation and characterization of small EVs released by human primary macrophages derived from circulating monocytes, and for their interaction with recipient macrophages.

Materials and methods

Ethics statements

The experimental procedures involving human cells in this study were performed with samples obtained after written informed consent and were carried out under the guidelines and regulations approved by the Research Ethics Committee of the Oswaldo Cruz Institute/Fiocruz (Rio de Janeiro, RJ, Brazil) under the number 397–07.

Culture of human primary macrophages

Human monocyte-derived macrophages were obtained from buffy coats of healthy human blood donors, as previously described [50]. In summary, peripheral blood mononuclear cells (PBMCs) that had been isolated by density gradient centrifugation (Ficoll-Paque Premium 1.077; GE Healthcare Biosciences) were plated (4.0 x 107 cells in 4 mL of medium) onto three 25 cm2 flasks (Greiner Bio-One) in Dulbecco’s modified Eagle’s medium (DMEM; LGC Bio) containing 10% human serum (Merck Millipore) and penicillin-streptomycin (LGC Bio). Cells were maintained at 37 °C in 5% CO2 for 7–10 days for monocyte differentiation into macrophages. Non-adherent cells were washed out with sterile phosphate-buffered saline (PBS), and the remaining macrophage layer was maintained in DMEM with 5% human serum. Macrophage purity was >90%, as determined by flow cytometry (FACScan; Becton Dickinson) analysis using anti-CD3 (BD Biosciences) and anti-CD68 (Southern Biotech) monoclonal antibodies.

Isolation of sEVs

The macrophage layer was extensively washed with PBS and thus replenished with 10 mL of fresh medium supplemented with 5% EVs-depleted fetal bovine serum (FBS; ThermoFisher; from now on referred to as EV-free medium) and cultured for 24h, 48h or 72h. Then, culture supernatants were collected, transferred to 15 mL conical sterile polypropylene centrifuge tubes, and underwent progressive centrifugation steps to isolate the sEVs, as previously described [51], with minor modifications (S1 Fig). In brief, isolation was set up as follows: 400×g for 10 min to remove floating cells; 2,000×g for 10 min to eliminate dead cells and cell debris; 18,000×g for 40 min to remove some LEVs (including apoptotic bodies and other vesicles >300nm); then, the supernatants were transferred to 13 mL polypropylene tubes and submitted to 130,000×g for 70 min to pellet EVs; finally, the pellet-containing IEVs and sEVs was washed once with PBS at 130,000×g for 70 min. The final pellet was resuspended in PBS (50 μL) and maintained at -80 °C for upcoming assays. High centrifugation steps (18,000–130,000×g) were carried out using an SW41 Ti titanium swinging-bucket rotor in an Optima XE-90 centrifuge (Beckman Coulter). Next, isolated sEVs were characterized by nanoparticle tracking analysis (NTA), scanning electron microscopy (SEM), western blot and confocal microscopy, as described below.

Cell viability assay (XTT-based cytotoxicity assay)

Macrophage viability was measured using tetrazolium salts (XTT), Cell Proliferation Kit II (Sigma-Aldrich) according to the manufacturer’s instructions. Cells were then cultured with EV-free medium for 24, 48 or 72h, after which the XTT assay was performed. Cell proliferation was spectrophotometrically quantified using a 96 wells plate reader at 450 nm. A decrease in optical density was analyzed by normalization against untreated cells with EV-free medium (control cells). All assays were prepared in triplicates.

Protein extraction and quantification assays

Cellular proteins were extracted by homogenization with 200 μL RIPA Lysis buffer (Sigma-Aldrich) containing protease inhibitor cocktail 1:100 (cOmplete, Sigma-Aldrich). For sEV proteins, samples (50 μL) were lysed by adding RIPA buffer (30 μL) with a protease inhibitor cocktail and then incubated on ice for 10 min. Samples were sonicated (frequency 60 Hz) in water bath three times for 5 min and vortexed (1 min) between each cycle to ensure protein homogenization and membrane lysis. For protein quantification, DC Protein assay (Bio-Rad) was carried out according to the manufacturer’s instructions. Absorbance and readings were obtained at 750 nm on a microplate reader SpectraMax M2 (Molecular Devices), and data were analyzed by SoftMax Pro 6.1 software (Molecular Devices). In parallel, Qubit Protein assay (ThermoFisher) was performed using the Qubit 2.0. Fluorometer. Results obtained using both methods were compared.

ZetaView nanoparticles tracking analysis

EVs sizes were measured using ZetaView nanoparticle tracking analyzer (NTA; Particle Metrix GmbH). For measurements, samples were diluted to 100, 500, 1000, and 2000 in previously filtrated PBS (0.22μm) for optimal concentration range for the NTA software (ZetaView Software version 8.02.31, Particle Metrix GmbH). Software parameters were the temperature at 23°C, the sensitivity of 30–85 frames per second (fps), a shutter speed of 55, and laser pulse duration equal to that of shutter duration. Acquisition parameters were set to a minimum brightness of 20, a maximum size of 200 pixels, and a minimum size of 5 pixels. Polystyrene particles (Microtrac GmbH) with an average size of 100 nm were used to calibrate the instrument before sample readings. Data were analyzed using ZetaView software and Microsoft Excel 2013 (Microsoft Corp).

Scanning electron microscopy (SEM) analysis

Samples were prepared as previously described [52], with minor modifications. After the last ultracentrifugation, pellets containing sEVs were resuspended (50 μL) in 2.5% glutaraldehyde in cacodylate buffer (0.1 M), pH 7.2, and samples (10 μL) were adhered in glass coverslips, previously covered with Poly-L-lysine (Sigma-Aldrich). After 30 min at 37°C, coverslips were washed three times in cacodylate buffer and post-fixed with a solution of 1% OsO4, containing 0.8% potassium ferrocyanide and 5 mM CaCl2 for 20 min at 25°C. After new washings with the same buffer, samples were dehydrated in ethanol ascending series (50, 70, 90, 100 and 100%), dried using the critical point method, mounted on aluminum stubs, and finally coated with a 20-nm-thick gold layer, and examined with a scanning electron microscope (Zeiss Auriga 45–38, Zeiss).

Western blotting

For assessing the protein profile of macrophages or sEV preparations, western blotting was carried out as described [53], with modifications. After protein extraction, samples were resuspended in lithium dodecyl sulfate (LSD) buffer (Life Technologies) with or without reducing agent (Life Technologies), when applicable. Samples (40 μg of protein) were boiled at 70 °C for 10 min, loaded into 4–12% sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) precast gels, and transferred to polyvinylidene fluoride (PVDF, ThermoFisher) membranes, which were blocked with 5% skimmed milk in Tris-buffered saline-Tween 20 (TBS-T, 0.01%) for 1h at room temperature. Blots were incubated for 18 h at 4 °C with anti-Alix, anti-CD63, anti-CD81, anti-Calnexin, anti-Cytochrome C, and anti-β-actin (control) antibodies. After washing with TBS-T, the membrane was exposed to secondary antibodies conjugated to horseradish peroxidase (HRP) anti-mouse or anti-rabbit, as required, for 1h at room temperature, and washed again with TBS-T. Protein bands were revealed using Western Chemiluminescent ECL Luminol substrate (GE Healthcare), and images were captured by C-DiGit Blot Scanner (LI-COR Biosciences). Relative band intensity was calculated using ImageJ software (NIH, USA). The antibodies used for western blotting assay, including their dilutions and supplier, are described in Table 1. Of note, the sEV protein markers were selected taking into account the minimal requirements recommended by the International Society for Extracellular Vesicles [54].

Table 1. Primary and secondary antibodies used for Western blotting to identify sEVs markers.

Antibodies Molecular weight Origin Dilution Supplier Catalog Number
Anti-Alix 95 kDa Mouse 1:1000 Cell Signaling 2171
Anti-CD63 30–60 kDa Mouse 1:1000 Thermo Fisher 10628D
Anti-CD81 25 kDa Mouse 1:500 Thermo Fisher 10630D
Anti-Calnexin 90 kDa Rabbit 1:1000 Santa Cruz 11397
Anti-Cytochrome c 15 kDa Mouse 1:500 Santa Cruz 13156
Anti-β-Actin 42 kDa Mouse 1:45.000 Sigma-Aldrich A3854
Anti-mouse-HRP Goat 1:2000 Cell Signaling 7076
Anti-rabbit-HRP Goat 1:2000 Cell Signaling 7074

Supplier information, catalog number are described.

Sucrose density gradient centrifugation

Purification of sEVs was performed using sucrose density gradient ultracentrifugation as previously described [55, 56], with modifications, whose detailed protocol is described in Supporting information.

Interaction of sEVs with human primary macrophages

The protocols used to label sEVs and to evaluate their internalization by macrophages are described in Supporting information. Images of vesicle uptake by macrophages were taken at 63X under a laser scanning confocal microscope (Leica TCS SP8, Mikrosysteme GmbH).

Data availability

We have submitted all relevant data of our experiments to the EV-TRACK knowledgebase (EV-TRACK ID: EV200058) [57].

Statistical analysis

All statistical data were performed and analyzed using GraphPad Prism Software version 7.0. NTA, sEV protein kinetics and cell viability data were subjected to two-way analysis of variance (ANOVA) with Tukey post hoc correction for determining significant differences between conditions. Mann–Whitney test for comparison of both protein assays and sEV size was applied. Data are shown as the median and quartiles (1st and 3rd), and the differences between values were considered statistically significant when the P-value was ≤ 0.05.

Results

Isolation, size, and number of EVs

Macrophages (ranging from 5.0 × 105–1.3 × 106/per flask) were cultured in EV-free medium during 24, 48, or 72h, and the EVs released after each of these time-points were isolated from culture supernatants by ultracentrifugation, as shown in (S1 Fig). The total number and size distribution of the isolated EVs were quantified in samples from six individual donors through NTA. According to NTA measurements, high concentrations of vesicles with size ranging between 40–150 nm, peaking at 105 nm, were obtained from cells cultured in the three different time-periods (Fig 1A–1C), despite a slight variation in the total number of vesicles among donors. It can also be observed that, except for D6, the concentration of vesicles harvested was nearly the same at the three time-points (Fig 1D), meaning that 24h is time enough for optimal shedding of EV-macrophages. The proportions of EVs with size <150 nm were equal to the median 79,54% (1st quartile: 77,39 and 3rd quartile: 87,31%), 76,86% (71,5 and 80,43), 85% (80,82 and 89,5) at the same time-periods, respectively (Fig 1E). Similar results were found with EVs obtained from macrophages of extra six donors (S2 Fig). The vesicle median size was equal to 110 nm, with a mode size of 105 nm (Table 2). Moreover, the XTT assay indicated that macrophage survival cultured in EV-free medium during 24, 48, or 72h was not affected. The proportions of viability were equal to the median 95,55% (93,55 and 100,8), 93,1% (89,71 and 100,5), and 91,03% (86,17 and 96,19) at the indicated time-periods, respectively (S2D Fig). Our data show that the proposed dUC protocol allows isolation of a high number of heterogeneous populations of MDM-derived EVs, and that the vast majority of vesicles isolated from individual samples fall within the size expected for sEVs (<150 nm).

Fig 1. Concentration and size distribution of MDM-derived sEVs.

Fig 1

NTA-ZetaView analyzes of total number and size distributions of EVs derived from six donors, isolated after (A) 24h, (B) 48h or (C) 72 h of cell culture. (D) Total concentration of EVs released at the same time-points (one culture flask for each point). (E) Proportion of EVs sizes <150nm or >150nm. Median values are indicated (n = 6). Mann–Whitney test was used to evaluate statistical significance: **p <0.01. D: donor.

Table 2. Sizes and concentrations of sEVs obtained from human primary macrophages.

Donor Time Total approximate cell number in three flasks a) Original concentration Particles/cm3 b) Concentration Particles/mL b) Median size (nm) b) Mode size (nm)
D1 24h 2,2 x 106 4.3 x 109 4.3 x 107 116,2 105
48h 1,8 x 106 4.0 x 109 4.0 x 107 123,4 135
72h 2,4 x 106 3.9 x 109 3.9 x 107 121,3 105
D2 24h 2,0 x 106 2.9 x 109 5.8 x 106 111,2 105
48h 2,1 x 106 2.6 x 109 5.1 x 106 128,6 135
72h 1,9 x 106 1.1 x 109 3.6 x 106 132,9 135
D3 24h 2,1 x 106 9.9 x 108 9.9 x 106 137,3 105
48h 2,7 x 106 9.1 x 108 9.1 x 106 107 105
72h 2,5 x 106 7.4 x 108 7.4 x 106 114,4 105
D4 24h 2,0 x 106 4.0 x 109 8.0 x 106 123,1 105
48h 1,9 x 106 4.2 x 109 8.4 x 106 122,8 135
72h 2,3 x 106 1.7 x 109 8.3 x 106 119,2 135
D5 24h 1,7 x 106 4.3 x 109 8.7 x 106 123,3 105
48h 2,3 x 106 4.0 x 109 8.0 x 106 128,6 135
72h 2,0 x 106 1.9 x 109 9.7 x 106 104,1 135
D6 24h 2,4 x 106 1.0 x 1010 2.1 x 107 117,6 135
48h 2,8 x 106 7.8 x 109 2.6 x 107 113 105
72h 3,1 x 106 1.9 x 1010 6.3 x 107 121,9 105

a) Three flasks for each time-point

b) Calculated by ZetaView Software version 8.02.31

Protein quantification of MDM-derived sEVs samples

Samples collected after 24, 48, or 72h of culture were analyzed by colorimetric (DC Protein) or fluorimetric (Qubit) assays to determine EV protein concentration with five μL of EVs as starting volume. All samples had ~500 μg/mL of total protein, with slight variations within the three time-points analyzed (Fig 2). To assure the accuracy of these results, we measured in parallel the protein amount of three known concentrations of bovine serum albumin (BSA), whereas no differences between both methods have been found (S3 Fig). We also measured the protein concentration in three other sEV samples, which provided similar results (S4 Fig). Thus, our analysis shows that both protein quantification assays provide reliable measurements of EV protein concentration. Of note, no significant variation was noticed in the protein content throughout the time points.

Fig 2. Protein concentration of MDM-derived sEVs.

Fig 2

Protein concentration of sEVs obtained after 24, 48 or 72h of macrophage culture, measured by (A) Qubit or (B) DC protein assays (n = 6). Median values are indicated. D: donors.

Morphology and protein markers of MDM-derived sEVs

We next examined the nanoparticle morphology by SEM, which revealed the presence of sEVs with size ranging from 40–100 nm, as shown in Fig 3. Size measurements of sEVs from two individual donors (number of images analyzed per donor = 3) showed a median size of 64,6 nm (64,59 and 72,84 nm) (D1), 65,24 nm (63,8 and 65,59) (D2) and mode size of 64,34 nm and 51,98 nm, respectively (Fig 3C and 3D). The proportion of EVs with size <150 nm was 81% (75,33 and 86,67), and with size >150 nm was 19% (13,33 and 24,67) (Fig 3E). Aggregates or clumps of sEVs were observed in SEM analysis, as a result of vesicle isolation with high-speed centrifugation (Fig 3A) [58]. Next, the protein markers of these particles were identified by western blotting assays. We initially observed, as expected, that sEVs exhibited lower protein content compared to their parent cells, as macrophage lysates contained a strong protein expression initiating at 14 kDa, whereas the sEV lysates presented protein content from ~28 kDa (Fig 4A). Next, accessory proteins from the endosomal sorting complex required for transport (ESCRT) and tetraspanins proteins, such as Alix (95 kDa), CD63 (a 30–60 kDa glycosylated protein), and CD81 (25 kDa), were detected in the vesicles as well as in the whole cell lysates (control) (Fig 4B). The absence of markers for cytochrome c (mitochondria) and calnexin (endoplasmic reticulum) in the vesicle lysates indicates that EV preparations were not contaminated with components of the mitochondria and endoplasmic reticulum from dead cells. The complete blotting membranes are shown in S5 Fig. Thus, we identified vesicles with homogeneous round shape morphology in our samples, which are enriched with proteins from multi-vesicular endosomes (MVE), features that suggest the presence of sEVs from endosomal origin in our preparations.

Fig 3. Morphological characterization of MDM-derived sEVs.

Fig 3

(A) SEM microscopy of sEVs showing homogeneous vesicle-shaped structures with size ranging from 40–110 nm (Bars = 400 nm) (n = 2). White arrows point to sEVs with size around 100 nm, and black arrow heads point to vesicles with size >150 nm; white star shows clumps of sEVs. Inset shows 200 x magnification of sEVs (Bars = 200 nm). (B) Control image containing only fixation solution (Bars = 1000 nm). (C) Size measurement of sEVs from two individual donors (number of images analyzed per donor = 3). (D) Median and mode size of sEVs from the same two donors. (E) Proportion of EVs sizes <150nm or >150nm. Median values are indicated. D: donors.

Fig 4. Protein markers of MDM-derived sEVs.

Fig 4

(A) Representative image of three independent assays of polyacrylamide gel stained with silver nitrate after separation of 40 μg total protein from cell (Cell) or sEVs pool lysates (EVs; pools comprise samples from four individual donors). (B) Western blot analysis of sEVs markers (Alix, CD63, and CD81) and non-EVs markers (Calnexin and Cytochrome C) (n = 3). β-actin = loading control. 40 μg of total protein were loaded onto the gel. MW: molecular weight marker.

Separation of sEVs by sucrose density gradient

To confirm the presence of sEVs from endosomal origin, sucrose density gradient ultracentrifugation (S-DGUC) assays were performed (Fig 5A and S6 Fig). The original pellets from the 130,000 x g spin were then fractionated by S-DGUC at 200,000 x g (Fig 5A), and the resultant fractions, numbered F1 to F6 (which were formed by the contiguous sucrose layers, as detailed in supplementary information) from the top to the bottom of the tube, were subjected to blotting analysis for the EV markers CD63 and CD81. The blotting results were analyzed upon normalization of band intensities, as described elsewhere [61]. We found that CD63 and CD81 were predominantly present in the middle-density gradient F3 (49,28% and 54,92% of the total signal, respectively). Moderate intensity amount of CD63 was detected in F4 (29,82%) and F2 (18,54%), whereas signal reduction was noticed in F5 (2,35%). CD81 labelling F2 (20,997%) and F4 (23,05%) was less intense than F3 (Fig 5B). The raw blotting images from gradient assays are shown in S6 Fig. Our data showed that CD63 colocalized with CD81 in fractions F2 to F4 (densities between 1,117 to 1,181 g/mL), a buoyant property reported for sEVs from endosomal origin [59, 60].

Fig 5. Sucrose density gradient ultracentrifugation in MDM-derived sEVs.

Fig 5

(A) Separation of sEVs by sucrose density gradient. The final sEVs pellet 130,000 x g was placed onto 90–10% sucrose gradient layers, then centrifuged for 200,000 x g for 16h, as indicated. Six fractions were collected from the top to the bottom of the gradient for further WB and confocal experiments. (B) Western blot analysis of sEVs recovered at the fractions F1-F6 (n = 3). 15 μg of total proteins were loaded onto the gel. Relative band intensity was calculated by ImageJ.

Internalization of sEVs by human primary monocyte-derived macrophages

Next, we analyzed, by confocal microscopy, whether the sEVs would be internalized by macrophages. To this end, sEVs were firstly labeled with the lipophilic dye PKH26 (PKH26-labeled EVs, as described in Supplementary methods) and then fractioned by sucrose gradient. Next, the PKH26-labeled sEVs from fractions F2, F3 and F4 were added separately to recipient macrophages, and the preparations were incubated for 3h. Images show that PKH26-positive vesicles were internalized by macrophages, as evidenced by the red puncta observed in the cells stained with green phalloidin and DAPI (Fig 6). Images of control macrophages treated with EV-free medium labeled with PKH26 (S7 Fig) show a diffuse fluorescence in F4 (PKH26 and merge columns), probably representing contaminants (e.g., lipoproteins, protein complexes, ribonucleoproteins) and/or PKH26 micelles. We also analyzed the interaction of sEVs present in the original pellets without gradient separation, for different periods of times. We observed that macrophages were able to internalize particles as prompt as no more than 15 or 30 min of interaction (S8 Fig), while, as expected, macrophages engulfed a more substantial number of particles after three hours of co-culture. Importantly, the internalization of purified or non-purified PKH26-labeled sEVs by macrophages were confirmed by 3D reconstruction (Fig 7). Thus, our data show that primary macrophages readily interact with and internalize sEVs emitted by other macrophages, and that the presence of some contaminants in the non-purified EV preparations did not impair the uptake of sEVs.

Fig 6. Internalization of sEVs by recipient human primary macrophages.

Fig 6

(A) sEVs labeled with PKH26 were separated by sucrose density gradient ultracentrifugation and the fractions F2-F4 were added to recipient macrophages during 3 hours (n = 3) (Bars = 50 μm). (B) representative image of a single macrophage (5x magnification) that internalized labeled sEVs from F3 (Bars = 25 μm). PKH26: sEVs; DAPI: cell nuclei; F-Actin: macrophages.

Fig 7. Internalization of sEVs by recipient human primary macrophages.

Fig 7

3D reconstruction image (10X magnification) showing uptake by macrophage of non-purified sEVs after (A) 15 min, (B) 30 min or (C) of sucrose gradient-purified sEVs from fraction F3 after 3h of interaction (n = 3). Scale bar = 25 μm.

Discussion

We report here a methodical approach for isolation, enrichment and characterization of sEVs released by human primary macrophages from circulating monocytes in culture supernatants. We performed this work taking into account the limited number of studies describing procedures for recovering sEVs from those cells. Due to growing evidence of the critical role of macrophages in a variety of physiological and pathological conditions [43, 44], along with the ability of EVs to mediate intercellular communication, the application of reliable methods for the separation of EVs may contribute for a better understanding of the biology of EV-based cellular communications in the macrophage functions. In fact, the use of standardized methods to provide pure populations of EV subtypes is critically important to define the biological functions of EVs in multicellular organisms, as pointed out by other authors [54, 61, 62]. Therefore, several groups in the field are exploring possibilities to improve or design new methods for EV isolation and characterization that allow the understanding of their biogenesis, targeting and physiological role [63].

To date, there are no published protocols detailing step-by-step the isolation and characterization of small EVs secreted by human macrophages derived from circulating monocytes. Available studies about MDM-derived sEVs (Table 3) have applied different procedures for their description, were mainly aimed to functional approaches and not to methodological improvements, or evaluated multiple proteins or microRNA contents from a heterogeneous population of vesicles secreted by macrophages. In fact, some of these works used large volume of culture supernatant or even additional isolation steps before the final centrifugation (e.g., filtration) [17, 18, 6472]. In contrast, we suggest here a modified protocol based on sucrose density gradient ultracentrifugation with higher speeds that allowed by itself the separation and quantification of large amounts of small EVs enriched with vesicles from the endosomal origin, which is consistent with results reported by other authors [51], who showed that dUC with increasing speed pelleted EVs with decreasing sizes. Furthermore, many studies related to sEVs from human macrophages used the monocytic leukemia cell line THP-1 [18, 31, 73, 74]. The different features between primary and tumor cell lines do not allow a fair comparison of the methods used for isolation and characterization of sEVs from primary cells and their corresponding tumor lines, thus highlighting the importance of applying specific protocols for primary macrophages.

Table 3. Available studies* of EVs secreted by primary human macrophages derived from circulating monocytes.

Research objective EV isolation methods EV characterization methods Filtration as an extra isolation step Internalization assay References
Functional study UC TEM, FC, WB and Sucrose gradient assay No No [65]
Functional study UC TEM, LP, Sucrose gradient assay and PT Yes Yes [66]
Proteomic study UC NTA, TEM, WB and PT Yes No [67]
Proteomic study UC TEM, WB and PT Yes No [17]
Micro RNA profile UC Iodixanol gradient assay, AChE activity and WB No No [68]
Functional study EVs isolation kit NTA, TEM and WB No No [70]
Functional study EVs isolation kit TEM and WB Yes No [69]
Functional study UC NTA, TEM, FC and WB Yes No [18]
Functional study UC NTA, TEM and WB Yes No [71]
Functional study UC NTA, TEM and WB Yes No [64]
Functional study UC NTA, TEM and FC No No [72]

AChE: acetylcholinesterase activity; LP: Lipidome; FC: Flow citometry; PT: Proteomic

*PubMed, June 2020

Here, MDM-derived sEVs from healthy human donors were characterized according to their physical and biochemical properties, as well as their interaction and internalization by recipient macrophages. Based on S-DGUC, other authors have considered that sEVs include particles with sizes between ~50–150 nm [19, 20, 59]. According to NTA measurement, our sEVs were in the same size range, peaking at 105 nm. In the method here described, the vesicle median sizes for all donors analyzed were mostly uniform, fluctuating within the sEVs dimensions already described [59], although slight variations in the total number of vesicles from individual samples were observed. Unlike the donor-to-donor variability in particle concentrations, the number of sEVs from individual donors did not fluctuate throughout the days the sEVs were collected. All samples produced very similar NTA profiles, indicating data reproducibility at these conditions.

Previous findings suggest that EV yield and protein concentration may depend on several factors, including cell type, cell confluence level, cell activation by exogenous compounds (e.g., Ca+2 ionophores, cell detachments, hypoxia, etc) [7577] and culture conditions [40, 78, 79]. In this sense, some specifics of our culture conditions, such as small variations in the number of macrophages (see Table 1) and time of culture (24, 48 or 72 h) probably did not influence the total protein concentration of sEVs, as ascertained by the use of two different protein quantification methods. Moreover, in addition to the conventional assays, such as DC Protein, which is based on the Lowry method, we also confirmed that the Qubit assay is a reproducible and reliable method for measuring proteins of EV samples, which is consistent with previous results of Vergauwen et al, [80], who measured protein concentration of EVs derived from the epithelial breast cancer cell line MCF-7.

The scanning electron microscopy (SEM) analysis revealed a homogeneous population of small EVs with round shape morphology and size smaller than 100 nm, features also found reported in other EV studies [81, 82]. The small amounts of LEV (vesicles larger than 150 nm) detected in our preparations were also expected, since it has been described that separation of EVs by high speed dUC resulted in a heterogeneous population of EVs with different sizes and subcellular origins [20]. Furthermore, NTA and SEM measurements detected a higher proportion (~81%) of vesicles with size <150nm than with size >150nm (~19%), thus suggesting a high enrichment of MDM-derived sEVs with the present protocol.

The identity of vesicles in our samples was further defined by evaluating the expression of small EVs protein markers, such as Alix, CD63, and CD81. These molecules were detected in all samples. Additionally, samples did not express non-EV markers, such as calnexin and cytochrome C, showing that vesicle preparations were not contaminated with components of the mitochondria or endoplasmic reticulum derived from cellular debris. The blotting assays were performed according to recommendations of the International Society for Extracellular Vesicles (ISEV) for an appropriate use and precise documentation for methods related to EV research [54], such that we used three categories of proteins present or enriched in EVs (one cytosolic and two membrane-bound proteins) and two other global proteins «not expected in EVs» (such as mitochondria and Golgi proteins).

To achieve a better specificity of EVs or EV subtype separation, we applied an additional purification technique based on density gradients. We selected the sucrose density gradient taking into account its property to separate membrane-limited vesicles based on their floatation speed and equilibrium density [83, 84]. Moreover, this technique has been proved to be a robust approach for EV purification for consistent functional and structural analyses [20, 59]. Western blot analyses revealed markers for late endosome proteins (CD63 and CD81) in the fractions with low and middle-density gradients (F2-F4; 1.117 to 1.181 g/mL), which is consistent with a previous report that reasoned that the tetraspanins CD63, CD9, and CD81 identify sEVs of endosomal origin from primary dendritic cells [59]. Although we have not used the CD9 marker, we detected the presence of ESCRT-accessory molecules Alix and the colocalization of CD63 and CD81 after sucrose density gradient. Therefore, we propose that the separated preparations after S-DGUC contain sEVs from late endosomal system.

We also found, through confocal microscopy, that recipient macrophages uptake sEVs with three hours of co-culture, whereas other studies reported that internalization occurred after more extended periods (12-24h) [37, 66, 85]. Other authors may have opted for longer co-culture times to ensure the visualization of the internalized sEVs. In our work, the same origin (human macrophages) and nature (primary cells) of emitting and recipient cells may have contributed to the rapid uptake of the vesicles [13, 86]. Large fluorescent dots were observed in some fractions containing positive PKH26-labeled sEV or control PKH26-labeled sEV-free medium (an unspecific diffuse fluorescence in F4), suggesting the presence of some contaminants (e.g., aggregates, lipoproteins, protein complexes, ribonucleoproteins). This effect could be a consequence of high-speed centrifugation of culture medium in combination with lipophilic dyes such as PKH, which induce the formation of artifacts with different sizes and morphologies that can be detected by fluorescence microscopy [58, 87, 88]. The specialized literature has also reported a multitude of contaminants in vesicles separated by multi-step methods [60, 89, 90]. Moreover, we believe that staining EVs with diameter smaller (<200 nm) than the diffraction limit of light of the confocal microscopy may also have potentially favored the visualization of other large fluorescent dots in our preparations, probably corresponding to clusters of positive PKH26-labeled sEV without the possibility to discriminate one vesicle from another [91, 92]. To isolate highly purified EVs simultaneously with the depletion of non-EV material from a given biofluid or cell conditioned media is difficult using the available tools existing today. In other words, separating sEVs from contaminants that may share biophysical properties with EVs is still a major challenge in the field [60, 89].

During the processes of MDM-derived EV isolation using S-DGUC, there were some methodological advances that should be reported in the modified protocol. First, the protocol permitted us to obtain ~80% of heterogeneous population of sEVs (<150nm) using intermediate samples sizes (10 mL). Second, the proposed method showed reproducibility between macrophage samples from different healthy donors, obtaining sEVs with similar physical and biochemical characteristic according to the analyzes of NTA, SEM and WB. Finally, this is the first study to report the co-localization of CD63 and CD81 markers in the fractions subjected to imunoblotting, indicating the presence of late endosome-derived sEVs of human primary macrophages derived from circulating monocytes.

In conclusion, given the technical difficulties in the EV field, the use of appropriate methodologies for obtaining EVs is critical for understanding their biogenesis and role in cellular communication processes. The protocol that we applied, combining dUC with density gradient purification assays, allowed the isolation of small EVs of endosomal origin released by human primary macrophages. One limitation is necessary to be considered in this study, as we did not use markers to identify the contaminants present in our EVs isolated after the density gradient assay. Since several contaminants have been identified in EVs separated by multi-step methods [90], determining the presence of certain contaminants may also be necessary for specific functional applications of the MDM-derived sEVs. Finally, our work seeks to contribute for enhancing the reproducibility between the limited number of available protocols for the description of MDM-derived sEVs, thus providing an alternative methodology research groups working with EVs released by these cells.

Supporting information

S1 File

(DOCX)

S1 Fig. Centrifugation steps for isolation of MDM-derived sEVs.

The flowchart shows the centrifugation steps applied for sEVs isolation from 10 mL of supernatants from monocytes-derived macrophages cultured in DMEM with 5% EVs-depleted serum. MØ: Macrophage; LEVs: large extracellular vesicles; IEVs: intermediated extracellular vesicles; sEVs: small extracellular vesicles.

(TIF)

S2 Fig. Concentration, size distribution of sEVs and macrophages viability.

EVs were colleted at 72 h of macrophages culture. (A) NTA-ZetaView analyzes of total number and size distributions of EVs derived from other six donors not represented in the main figures (n = 6). (B) Total concentrations of EVs released by different donors. (C) Proportion of EVs sizes <150 nm or >150 nm. Mean values ± SD are indicated. **p <0.01 (Mann–Whitney test). (D) Macrophages viability at different time periods (n = 4). Decrease in survival was analyzed by normalization against untreated cells with EV-free medium (control cells), represented by red dotted line. Median values are indicated D: donor.

(TIF)

S3 Fig. Bovine serum albumin (BSA) quantification.

BSA concentrations at (A) 600 μg/mL, (B) 400 μg/mL, and (C) 200 μg/mL were assessed by Qubit or DC Protein assays (n = 3). Identical sample volume (5 μL) were used in all assays. Red dotted line indicates known BSA concentration. Results are expressed as median. D: donor.

(TIF)

S4 Fig. Protein concentration of MDM-derived sEVs.

sEVs samples (A) 1, (B) 2, and (C) 3 from other donors colleted at 72 h of cell culture were measured by Qubit or DC protein assay (n = 3). Results are expressed as median.

(TIF)

S5 Fig. Protein markers of MDM-derived sEVs.

Raw blots of sEVs markers using 40 μg of total protein and specific antibodies for sEVs (Alix, CD63 and CD81) and non-sEVs (Calnexin and Cytochrome C) (n = 3). β-actin was used as charge control. All experiments were performed with pools (4 donors) of sEVs.

(TIF)

S6 Fig. Raw blots images of fractions F1-F6 collected of MDM-derived sEVs separated by S-DGUC (n = 3).

Polyacrylamide gels were loaded with 15 μg of protein and membranes were labeled with sEVs markers (CD63 and CD81). All experiments were performed with pools (4 donors) of sEVs.

(TIF)

S7 Fig. Interaction of EVs-free medium with recipient primary macrophages.

EVs-free medium were labeled with PKH26, then separated by sucrose density gradient centrifugation and three fractions (F2-F4) were colleted and added separately to recipient macrophages during 3 hours (n = 3). Fluorescent images represent only cells or cells with sEVs, respectively (Bars = 50 μm). PKH26: sEVs; DAPI: cell nuclei; F-Actin: macrophages.

(TIF)

S8 Fig. Internalization of original EVs pellets by macrophages.

EVs pellets isolated by dUC (not purified by sucrose gradient) were labeled with PHK26 and added to macrophages during 15 min (n = 3), 30 min (n = 3), and 3 hours (n = 4). Bright field (DIC) and fluorescent images represent only cells or cells with extracellular particles, respectively (Bars = 50 μm). PKH26: EVs and other particles; DAPI: cell nuclei; F-Actin: macrophages.

(TIF)

S9 Fig. Protocol to layer sucrose density gradient.

(A) Position of tube angled 90° and (B) angled 60° during layering sucrose gradients. (C) Correct and (D) incorrect sucrose gradients layers. Black arrows point to layer formation during sucrose gradient; black arrowheads point to diffuse layers.

(TIF)

S1 Raw image

(PDF)

Acknowledgments

The authors are grateful to the National Institute of Science and Technology for Structural Biology and Bioimaging (INBEB-CENABIO, Federal University of Rio de Janeiro, Brazil), and M.Sc Raquel de Souza Martins and M.Sc Felipe Henrique da Cunha Xavier for technical assistance and support in all microscopy analyses. We thank Dr. Luís M. Trambaioli (Quality Control Manager Laboratory, Federal University of Rio de Janeiro, Brazil) for assistance in all refractive index quantitative analysis, Dr. Mariela N. Gonzalez for support in blotting assays, and Dr. Rômulo G. Galvani and Dr. Jairo R. Temerozo for helpful discussions and statistical analysis. The authors are also grateful to the Hemotherapy Service of the Hospital Clementino Fraga Filho (Federal University of Rio de Janeiro, Brazil) and the Bonsucesso General Hospital (Rio de Janeiro, Brazil) for providing buffy coats.

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

This work was supported by Brazilian National Research Council (CNPq; www.cnpq.br), grant # 475958/2011-0 (DCBH); Carlos Chagas Filho Rio de Janeiro Research Foundation (FAPERJ; www.faperj.br) grant # E-26/102.972/2011 (DCBH); Oswaldo Cruz Foundation (INOVA-Fiocruz; www.fiocruz.br), grant # 3440295262; DCBH). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Raposo G, Stoorvogel W. Extracellular vesicles: Exosomes, microvesicles, and friends. J Cell Biol. 2013;200: 373–383. 10.1083/jcb.201211138 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.György B, Szabó TG, Pásztói M, Pál Z, Misják P, Aradi B, et al. Membrane vesicles, current state-of-the-art: Emerging role of extracellular vesicles. Cellular and Molecular Life Sciences. 2011. pp. 2667–2688. 10.1007/s00018-011-0689-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Witwer KW, Théry C. Extracellular vesicles or exosomes? On primacy, precision, and popularity influencing a choice of nomenclature. J Extracell Vesicles. 2019;8 10.1080/20013078.2019.1648167 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.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 10.1186/1479-5876-10-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Näslund TI, Paquin-Proulx D, Paredes PT, Vallhov H, Sandberg JK, Gabrielsson S. Exosomes from breast milk inhibit HIV-1 infection of dendritic cells and subsequent viral transfer to CD4+ T cells. AIDS. 2014;28: 171–180. 10.1097/QAD.0000000000000159 [DOI] [PubMed] [Google Scholar]
  • 6.Baranyai T, Herczeg K, Onódi Z, Voszka I, Módos K, Marton N, et al. Isolation of Exosomes from Blood Plasma: Qualitative and Quantitative Comparison of Ultracentrifugation and Size Exclusion Chromatography Methods. Rito-Palomares M, editor. PLoS One. 2015;10: e0145686 10.1371/journal.pone.0145686 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Zlotogorski-Hurvitz A, Dayan D, Chaushu G, Korvala J, Salo T, Sormunen R, et al. Human Saliva-Derived Exosomes. J Histochem Cytochem. 2015;63: 181–189. 10.1369/0022155414564219 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Balbi C, Piccoli M, Barile L, Papait A, Armirotti A, Principi E, et al. First Characterization of Human Amniotic Fluid Stem Cell Extracellular Vesicles as a Powerful Paracrine Tool Endowed with Regenerative Potential. Stem Cells Transl Med. 2017;6: 1340–1355. 10.1002/sctm.16-0297 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Madison M, Welch J, Okeoma C. Isolation of Exosomes from Semen for in vitro Uptake and HIV-1 Infection Assays. BIO-PROTOCOL. 2017;7 10.21769/BioProtoc.2216 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Sinha A, Alfaro J, Kislinger T. Characterization of Protein Content Present in Exosomes Isolated from Conditioned Media and Urine Current Protocols in Protein Science. Hoboken, NJ, USA: John Wiley & Sons, Inc; 2017. pp. 24.9.1–24.9.12. [DOI] [PubMed] [Google Scholar]
  • 11.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. Available: http://www.ncbi.nlm.nih.gov/pubmed/8642258 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Valadi H, Ekström K, Bossios A, Sjöstrand M, Lee JJ, Lötvall JO. Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells. Nat Cell Biol. 2007;9: 654–659. 10.1038/ncb1596 [DOI] [PubMed] [Google Scholar]
  • 13.van Niel G, D’Angelo G, Raposo G. Shedding light on the cell biology of extracellular vesicles. Nat Rev Mol Cell Biol. 2018;19: 213–228. 10.1038/nrm.2017.125 [DOI] [PubMed] [Google Scholar]
  • 14.Yáñez-Mó M, Siljander PR-M, Andreu Z, Bedina Zavec A, Borràs FE, Buzas EI, et al. Biological properties of extracellular vesicles and their physiological functions. J Extracell Vesicles. 2015;4: 27066 10.3402/jev.v4.27066 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Tai Y-L, Chen K-C, Hsieh J-T, Shen T-L. Exosomes in cancer development and clinical applications. Cancer Sci. 2018;109: 2364–2374. 10.1111/cas.13697 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Diaz G, Wolfe LM, Kruh-Garcia NA, Dobos KM. Changes in the Membrane-Associated Proteins of Exosomes Released from Human Macrophages after Mycobacterium tuberculosis Infection. Sci Rep. 2016;6: 37975 10.1038/srep37975 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Cypryk W, Lorey M, Puustinen A, Nyman TA, Matikainen S. Proteomic and Bioinformatic Characterization of Extracellular Vesicles Released from Human Macrophages upon Influenza A Virus Infection. J Proteome Res. 2017;16: 217–227. 10.1021/acs.jproteome.6b00596 [DOI] [PubMed] [Google Scholar]
  • 18.Cai C, Koch B, Morikawa K, Suda G, Sakamoto N, Rueschenbaum S, et al. Macrophage-Derived Extracellular Vesicles Induce Long-Lasting Immunity Against Hepatitis C Virus Which Is Blunted by Polyunsaturated Fatty Acids. Front Immunol. 2018;9: 723 10.3389/fimmu.2018.00723 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Mathieu M, Martin-Jaular L, Lavieu G, Théry C. Specificities of secretion and uptake of exosomes and other extracellular vesicles for cell-to-cell communication. Nat Cell Biol. [cited 8 May 2019]. 10.1038/s41556-018-0250-9 [DOI] [PubMed] [Google Scholar]
  • 20.Tkach M, Kowal J, Théry C. Why the need and how to approach the functional diversity of extracellular vesicles. Philos Trans R Soc Lond B Biol Sci. 2018;373 10.1098/rstb.2016.0479 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Mateescu B, Kowal EJK, van Balkom BWM, Bartel S, Bhattacharyya SN, Buzás EI, et al. Obstacles and opportunities in the functional analysis of extracellular vesicle RNA–an ISEV position paper. J Extracell Vesicles. 2017;6: 1286095 10.1080/20013078.2017.1286095 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Cocucci E, Racchetti G, Podini P, Meldolesi J. Enlargeosome Traffic: Exocytosis Triggered by Various Signals Is Followed by Endocytosis, Membrane Shedding or Both. Traffic. 2007;8: 742–757. 10.1111/j.1600-0854.2007.00566.x [DOI] [PubMed] [Google Scholar]
  • 23.Tricarico C, Clancy J, D’Souza-Schorey C. Biology and biogenesis of shed microvesicles. Small GTPases. 2017;8: 220–232. 10.1080/21541248.2016.1215283 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Johnstone RM, Adam M, Hammond JR, Orr L, Turbide C. Vesicle formation during reticulocyte maturation. Association of plasma membrane activities with released vesicles (exosomes). J Biol Chem. 1987;262: 9412–20. Available: http://www.ncbi.nlm.nih.gov/pubmed/3597417 [PubMed] [Google Scholar]
  • 25.Skotland T, Hessvik NP, Sandvig K, Llorente A. Exosomal lipid composition and the role of ether lipids and phosphoinositides in exosome biology. J Lipid Res. 2018;60: 9–18. 10.1194/jlr.R084343 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Zhang H, Freitas D, Kim HS, Fabijanic K, Li Z, Chen H, et al. Identification of distinct nanoparticles and subsets of extracellular vesicles by asymmetric flow field-flow fractionation. Nat Cell Biol. 2018;20: 332–343. 10.1038/s41556-018-0040-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Poon IKH, Lucas CD, Rossi AG, Ravichandran KS. Apoptotic cell clearance: basic biology and therapeutic potential. Nat Rev Immunol. 2014;14: 166–180. 10.1038/nri3607 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Atkin-Smith GK, Tixeira R, Paone S, Mathivanan S, Collins C, Liem M, et al. ARTICLE A novel mechanism of generating extracellular vesicles during apoptosis via a beads-on-a-string membrane structure. Nat Commun. 2015;6 10.1038/ncomms8439 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Thippabhotla S, Wei L, Zhong C, He M. 3D cell culture stimulates the secretion of in vivo like exosomes. [cited 27 May 2019]. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Ostrowski M, Carmo NB, Krumeich S, Fanget I, Raposo G, Savina A, et al. Rab27a and Rab27b control different steps of the exosome secretion pathway. Nat Cell Biol. 2010;12: 19–30; sup pp 1–13. 10.1038/ncb2000 [DOI] [PubMed] [Google Scholar]
  • 31.Yao Z, Jia X, Megger DA, Chen J, Liu Y, Li J, et al. Label-Free Proteomic Analysis of Exosomes Secreted from THP-1-Derived Macrophages Treated with IFN-α Identifies Antiviral Proteins Enriched in Exosomes. J Proteome Res. 2019;18: 855–864. 10.1021/acs.jproteome.8b00514 [DOI] [PubMed] [Google Scholar]
  • 32.Hurwitz SN, Conlon MM, Rider MA, Brownstein NC, Meckes DG. Journal of Extracellular Vesicles Nanoparticle analysis sheds budding insights into genetic drivers of extracellular vesicle biogenesis Nanoparticle analysis sheds budding insights into genetic drivers of extracellular vesicle biogenesis. J Extracell Vesicles. 2016;5: 31295 10.3402/jev.v5.31295 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Costa J, Gatermann M, Nimtz M, Kandzia S, Glatzel M, Conradt HS. N-Glycosylation of Extracellular Vesicles from HEK-293 and Glioma Cell Lines. 2018. [cited 27 May 2019]. 10.1021/acs.analchem.7b05455 [DOI] [PubMed] [Google Scholar]
  • 34.Ekström K, Valadi H, Sjöstrand M, Malmhäll 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. J Extracell Vesicles. 2012;1 10.3402/jev.v1i0.18389 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Cvjetkovic A, Jang SC, Konečná B, Höög JL, Sihlbom C, Lässer C, et al. Detailed Analysis of Protein Topology of Extracellular Vesicles-Evidence of Unconventional Membrane Protein Orientation. Nat Publ Gr. 2016. [cited 13 May 2019]. 10.1038/srep36338 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Van Niel G, Raposo GA, Line Candalh CÉ, Boussac M, Hershberg R, Cerf-Bensussan N, et al. Intestinal Epithelial Cells Secrete Exosome-like Vesicles. 2001. [cited 13 May 2019]. 10.1053/gast.2001.26263 [DOI] [PubMed] [Google Scholar]
  • 37.Sun L, Wang X, Zhou Y, Zhou R-H, Ho W-Z, Li J-L. Exosomes contribute to the transmission of anti-HIV activity from TLR3-activated brain microvascular endothelial cells to macrophages. Antiviral Res. 2016;134: 167–171. 10.1016/j.antiviral.2016.07.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Dozio V, Sanchez J-C. Characterisation of extracellular vesicle-subsets derived from brain endothelial cells and analysis of their protein cargo modulation after TNF exposure. J Extracell Vesicles. 2017;6: 1302705. 10.1080/20013078.2017.1302705 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Colombo M, Moita C, Van Niel G, Kowal J, Vigneron J, Benaroch P, et al. Analysis of ESCRT functions in exosome biogenesis, composition and secretion highlights the heterogeneity of extracellular vesicles. J Cell Sci. 126: 5553–5565. 10.1242/jcs.128868 [DOI] [PubMed] [Google Scholar]
  • 40.Théry C, Regnault A, Garin J, Wolfers J, Zitvogel L, Ricciardi-Castagnoli P, et al. Molecular characterization of dendritic cell-derived exosomes. Selective accumulation of the heat shock protein hsc73. J Cell Biol. 1999;147: 599–610. Available: http://www.ncbi.nlm.nih.gov/pubmed/10545503 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Tkach M, Kowal J, Zucchetti AE, Enserink L, Jouve M, Lankar D, et al. Qualitative differences in T-cell activation by dendritic cell-derived extracellular vesicle subtypes. EMBO J. 2017;36: 3012–3028. 10.15252/embj.201696003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Vargas A, Roux-Dalvai F, Droit A, Lavoie J-P. Neutrophil-Derived Exosomes: A New Mechanism Contributing to Airway Smooth Muscle Remodeling. Am J Respir Cell Mol Biol. 2016;55: 450–461. 10.1165/rcmb.2016-0033OC [DOI] [PubMed] [Google Scholar]
  • 43.Wynn TA, Chawla A, Pollard JW. Macrophage biology in development, homeostasis and disease. Nature. 2013;496: 445–455. 10.1038/nature12034 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Gordon S, Martinez-Pomares L. Physiological roles of macrophages. Pflügers Arch—Eur J Physiol. 2017;469: 365–374. 10.1007/s00424-017-1945-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Amit I, Winter DR, Jung S. The role of the local environment and epigenetics in shaping macrophage identity and their effect on tissue homeostasis. Nat Immunol. 2016;17: 18–25. 10.1038/ni.3325 [DOI] [PubMed] [Google Scholar]
  • 46.Sims NA, Walsh NC. Intercellular Cross-Talk Among Bone Cells: New Factors and Pathways. Curr Osteoporos Rep. 2012;10: 109–117. 10.1007/s11914-012-0096-1 [DOI] [PubMed] [Google Scholar]
  • 47.de Back DZ, Kostova EB, van Kraaij M, van den Berg TK, van Bruggen R. Of macrophages and red blood cells; a complex love story. Front Physiol. 2014;5: 9 10.3389/fphys.2014.00009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Bencze M, Negroni E, Vallese D, Yacoub-Youssef H, Chaouch S, Wolff A, et al. Proinflammatory Macrophages Enhance the Regenerative Capacity of Human Myoblasts by Modifying Their Kinetics of Proliferation and Differentiation. Mol Ther. 2012;20: 2168–2179. 10.1038/mt.2012.189 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Jurberg AD, Cotta-de-Almeida V, Temerozo JR, Savino W, Bou-Habib DC, Riederer I. Neuroendocrine Control of Macrophage Development and Function. Front Immunol. 2018;9: 1440 10.3389/fimmu.2018.01440 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Temerozo JR, Joaquim R, Regis EG, Savino W, Bou-Habib DC. Macrophage Resistance to HIV-1 Infection Is Enhanced by the Neuropeptides VIP and PACAP. Zheng JC, editor. PLoS One. 2013;8: e67701 10.1371/journal.pone.0067701 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Théry C, Amigorena S, Raposo G, Clayton A. Isolation and Characterization of Exosomes from Cell Culture Supernatants and Biological Fluids. Curr Protoc Cell Biol. 2006;30: 3.22.1–3.22.29. 10.1002/0471143030.cb0322s30 [DOI] [PubMed] [Google Scholar]
  • 52.Rebello KM, Menna-Barreto RFS, Chagas-Moutinho VA, Mota EM, Perales J, Neves-Ferreira AGC, et al. Morphological aspects of Angiostrongylus costaricensis by light and scanning electron microscopy. Acta Trop. 2013;127: 191–198. 10.1016/j.actatropica.2013.05.002 [DOI] [PubMed] [Google Scholar]
  • 53.González MN, de Mello W, Butler-Browne GS, Silva-Barbosa SD, Mouly V, Savino W, et al. HGF potentiates extracellular matrix-driven migration of human myoblasts: involvement of matrix metalloproteinases and MAPK/ERK pathway. Skelet Muscle. 2017;7: 20 10.1186/s13395-017-0138-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Théry C, Witwer KW, Aikawa E, Alcaraz MJ, Anderson JD, Andriantsitohaina R, et al. Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines. J Extracell Vesicles. 2018;7 10.1080/20013078.2018.1535750 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.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 10.3402/jev.v1i0.18397 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Alexander RP, Chiou N-T, Ansel KM. Improved exosome isolation by sucrose gradient fractionation of ultracentrifuged crude exosome pellets. Protoc Exch. 2016. 10.1038/protex.2016.057 [DOI] [Google Scholar]
  • 57.Van Deun J, Mestdagh P, Agostinis P, Akay Ö, Anand S, Anckaert J, et al. EV-TRACK: Transparent reporting and centralizing knowledge in extracellular vesicle research. Nature Methods. Nature Publishing Group; 2017. pp. 228–232. 10.1038/nmeth.4185 [DOI] [PubMed] [Google Scholar]
  • 58.Linares R, Tan S, Gounou C, Arraud N, Brisson AR. High-speed centrifugation induces aggregation of extracellular vesicles. Journal of Extracellular Vesicles. Taylor and Francis Ltd.; 2015. 10.3402/jev.v4.29509 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Kowal J, Arras G, Colombo M, Jouve M, Morath JP, Primdal-Bengtson B, et al. Proteomic comparison defines novel markers to characterize heterogeneous populations of extracellular vesicle subtypes. [cited 8 May 2019]. 10.1073/pnas.1521230113 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Matsumura S, Minamisawa T, Suga K, Kishita H, Akagi T, Ichiki T, et al. Subtypes of tumour cell-derived small extracellular vesicles having differently externalized phosphatidylserine. J Extracell Vesicles. 2019;8 10.1080/20013078.2019.1579541 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Ramirez MI, Amorim MG, Gadelha C, Milic I, Welsh JA, Freitas VM, et al. Technical challenges of working with extracellular vesicles. Nanoscale. 2018;10: 881 10.1039/c7nr08360b [DOI] [PubMed] [Google Scholar]
  • 62.Ayers L, Pink R, Raul D, Carter F, Nieuwland R. Clinical requirements for extracellular vesicle assays. 2019. [cited 6 Jun 2020]. 10.1080/20013078.2019.1593755 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Stahl PD, Raposo G. Extracellular Vesicles: Exosomes and Microvesicles, Integrators of Homeostasis. Physiology. 2019;34: 169–177. 10.1152/physiol.00045.2018 [DOI] [PubMed] [Google Scholar]
  • 64.Martin PJ, Héliot A, Trémolet G, Landkocz Y, Dewaele D, Cazier F, et al. Cellular response and extracellular vesicles characterization of human macrophages exposed to fine atmospheric particulate matter. Environ Pollut. 2019;254 10.1016/j.envpol.2019.07.101 [DOI] [PubMed] [Google Scholar]
  • 65.Esser J, Gehrmann U, D’Alexandri FL, Hidalgo-Estévez AM, Wheelock CE, Scheynius A, et al. Exosomes from human macrophages and dendritic cells contain enzymes for leukotriene biosynthesis and promote granulocyte migration. J Allergy Clin Immunol. 2010;126: 1032–1040.e4. 10.1016/j.jaci.2010.06.039 [DOI] [PubMed] [Google Scholar]
  • 66.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: 744–754. 10.4049/jimmunol.1102244 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Cypryk W, Öhman T, Eskelinen E-L, Matikainen S, Nyman TA. Quantitative Proteomics of Extracellular Vesicles Released from Human Monocyte-Derived Macrophages upon β-Glucan Stimulation. J Proteome Res. 2014;13: 2468–2477. 10.1021/pr4012552 [DOI] [PubMed] [Google Scholar]
  • 68.Roth W, Huang M, Addae Konadu K, Powell M, Bond V. Micro RNA in Exosomes from HIV-Infected Macrophages. Int J Environ Res Public Health. 2015;13: 32 10.3390/ijerph13010032 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Zhou Y, Wang X, Sun L, Zhou L, Ma T-C, Song L, et al. Toll-like receptor 3-activated macrophages confer anti-HCV activity to hepatocytes through exosomes. FASEB J. 2016;30: 4132–4140. 10.1096/fj.201600696R [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Tang N, Sun B, Gupta A, Rempel H, Pulliam L. Monocyte exosomes induce adhesion molecules and cytokines via activation of NF-κB in endothelial cells. FASEB J. 2016;30: 3097–3106. 10.1096/fj.201600368RR [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Sharma H, Chinnappan M, Agarwal S, Dalvi P, Gunewardena S, O’Brien-Ladner A, et al. Macrophage-derived extracellular vesicles mediate smooth muscle hyperplasia: role of altered miRNA cargo in response to HIV infection and substance abuse. FASEB J. 2018;32: 5174–5185. 10.1096/fj.201701558R [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Logozzi M, Mizzoni D, Bocca B, Di Raimo R, Petrucci F, Caimi S, et al. Human primary macrophages scavenge AuNPs and eliminate it through exosomes. A natural shuttling for nanomaterials. Eur J Pharm Biopharm. 2019;137: 23–36. 10.1016/j.ejpb.2019.02.014 [DOI] [PubMed] [Google Scholar]
  • 73.Lee HD, Kim YH, Kim DS. Exosomes derived from human macrophages suppress endothelial cell migration by controlling integrin trafficking. Eur J Immunol. 2014;44: 1156–1169. 10.1002/eji.201343660 [DOI] [PubMed] [Google Scholar]
  • 74.Wang J, Yao Y, Xiong J, Wu J, Tang X, Li G. Evaluation of the inflammatory response in macrophages stimulated with exosomes secreted by Mycobacterium avium-infected macrophages. Biomed Res Int. 2015;2015: 658421. 10.1155/2015/658421 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Savina A, Furlán M, Vidal M, Colombo MI. Exosome Release Is Regulated by a Calcium-dependent Mechanism in K562 Cells. J Biol Chem. 2003;278: 20083–20090. 10.1074/jbc.M301642200 [DOI] [PubMed] [Google Scholar]
  • 76.Koumangoye RB, Sakwe AM, Goodwin JS, Patel T, Ochieng J. Detachment of breast tumor cells induces rapid secretion of exosomes which subsequently mediate cellular adhesion and spreading. PLoS One. 2011;6: e24234 10.1371/journal.pone.0024234 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.King HW, Michael MZ, Gleadle JM. Hypoxic enhancement of exosome release by breast cancer cells. BMC Cancer. 2012;12: 421 10.1186/1471-2407-12-421 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Gudbergsson JM, Johnsen KB, Skov MN, Duroux M. Systematic review of factors influencing extracellular vesicle yield from cell cultures. Cytotechnology. 2016;68: 579–592. 10.1007/s10616-015-9913-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.de la Torre Gomez C, Goreham R V., Bech Serra JJ, Nann T, Kussmann M. “Exosomics”—A Review of Biophysics, Biology and Biochemistry of Exosomes With a Focus on Human Breast Milk. Front Genet. 2018;9: 92 10.3389/fgene.2018.00092 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Vergauwen G, Dhondt B, Van Deun J, De Smedt E, Berx G, Timmerman E, et al. Confounding factors of ultrafiltration and protein analysis in extracellular vesicle research. Sci Rep. 2017;7: 2704 10.1038/s41598-017-02599-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Enderle D, Spiel A, Coticchia CM, Berghoff E, Mueller R, Schlumpberger M, et al. Characterization of RNA from Exosomes and Other Extracellular Vesicles Isolated by a Novel Spin Column-Based Method. 2015. 10.1371/journal.pone.0136133 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Kondratov KA, Petrova TA, Mikhailovskii VY, Ivanova AN, Kostareva AA, Fedorov A V. A Study of Extracellular Vesicles Isolated from Blood Plasma Conducted by Low-Voltage Scanning Electron Microscopy. 2017;11: 169–177. 10.1134/S1990519X17030051 [DOI] [PubMed] [Google Scholar]
  • 83.Colombo M, Raposo G, Théry C. Biogenesis, Secretion, and Intercellular Interactions of Exosomes and Other Extracellular Vesicles. Annu Rev Cell Dev Biol. 2014;30: 255–289. 10.1146/annurev-cellbio-101512-122326 [DOI] [PubMed] [Google Scholar]
  • 84.Willms E, Cabañas C, Mäger I, Wood MJA, Vader P. Extracellular vesicle heterogeneity: Subpopulations, isolation techniques, and diverse functions in cancer progression. Frontiers in Immunology. Frontiers Media S.A.; 2018. 10.3389/fimmu.2018.00738 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Guo L, Xu X-Q, Zhou L, Zhou R-H, Wang X, Li J-L, et al. Human Intestinal Epithelial Cells Release Antiviral Factors That Inhibit HIV Infection of Macrophages. Front Immunol. 2018;9 10.3389/fimmu.2018.00247 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Denzer K, van Eijk M, Kleijmeer MJ, Jakobson E, de Groot C, Geuze HJ. Follicular dendritic cells carry MHC class II-expressing microvesicles at their surface. J Immunol. 2000;165: 1259–65. Available: http://www.ncbi.nlm.nih.gov/pubmed/10903724 [DOI] [PubMed] [Google Scholar]
  • 87.Takov K, Yellon DM, Davidson SM. Confounding factors in vesicle uptake studies using fluorescent lipophilic membrane dyes. J Extracell Vesicles. 2017;6 10.1080/20013078.2017.1388731 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Dehghani M, Gulvin SM, Flax J, Thomas R. Exosome labeling by lipophilic dye PKH26 results in significant increase in vesicle size. BioRxiv. 2019. 10.1101/532028 [DOI] [Google Scholar]
  • 89.Onódi Z, Pelyhe C, Nagy CT, Brenner GB, Almási L, Kittel Á, et al. Isolation of high-purity extracellular vesicles by the combination of iodixanol density gradient ultracentrifugation and bind-elute chromatography from blood plasma. Front Physiol. 2018;9 10.3389/fphys.2018.01479 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Karimi N, Cvjetkovic A, Jang SC, Crescitelli R, Hosseinpour Feizi MA, Nieuwland R, et al. Detailed analysis of the plasma extracellular vesicle proteome after separation from lipoproteins. Cell Mol Life Sci. 2018;75: 2873–2886. 10.1007/s00018-018-2773-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Lai CP, Kim EY, Badr CE, Weissleder R, Mempel TR, Tannous BA, et al. Visualization and tracking of tumour extracellular vesicle delivery and RNA translation using multiplexed reporters. Nat Commun. 2015;6 10.1038/ncomms8029 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Ter-Ovanesyan D, Kowal EJK, Regev A, Church GM, Cocucci E. Imaging of Isolated Extracellular Vesicles Using Fluorescence Microscopy. Methods Mol Biol. 2017;1660: 233–241. 10.1007/978-1-4939-7253-1_19 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 File

(DOCX)

S1 Fig. Centrifugation steps for isolation of MDM-derived sEVs.

The flowchart shows the centrifugation steps applied for sEVs isolation from 10 mL of supernatants from monocytes-derived macrophages cultured in DMEM with 5% EVs-depleted serum. MØ: Macrophage; LEVs: large extracellular vesicles; IEVs: intermediated extracellular vesicles; sEVs: small extracellular vesicles.

(TIF)

S2 Fig. Concentration, size distribution of sEVs and macrophages viability.

EVs were colleted at 72 h of macrophages culture. (A) NTA-ZetaView analyzes of total number and size distributions of EVs derived from other six donors not represented in the main figures (n = 6). (B) Total concentrations of EVs released by different donors. (C) Proportion of EVs sizes <150 nm or >150 nm. Mean values ± SD are indicated. **p <0.01 (Mann–Whitney test). (D) Macrophages viability at different time periods (n = 4). Decrease in survival was analyzed by normalization against untreated cells with EV-free medium (control cells), represented by red dotted line. Median values are indicated D: donor.

(TIF)

S3 Fig. Bovine serum albumin (BSA) quantification.

BSA concentrations at (A) 600 μg/mL, (B) 400 μg/mL, and (C) 200 μg/mL were assessed by Qubit or DC Protein assays (n = 3). Identical sample volume (5 μL) were used in all assays. Red dotted line indicates known BSA concentration. Results are expressed as median. D: donor.

(TIF)

S4 Fig. Protein concentration of MDM-derived sEVs.

sEVs samples (A) 1, (B) 2, and (C) 3 from other donors colleted at 72 h of cell culture were measured by Qubit or DC protein assay (n = 3). Results are expressed as median.

(TIF)

S5 Fig. Protein markers of MDM-derived sEVs.

Raw blots of sEVs markers using 40 μg of total protein and specific antibodies for sEVs (Alix, CD63 and CD81) and non-sEVs (Calnexin and Cytochrome C) (n = 3). β-actin was used as charge control. All experiments were performed with pools (4 donors) of sEVs.

(TIF)

S6 Fig. Raw blots images of fractions F1-F6 collected of MDM-derived sEVs separated by S-DGUC (n = 3).

Polyacrylamide gels were loaded with 15 μg of protein and membranes were labeled with sEVs markers (CD63 and CD81). All experiments were performed with pools (4 donors) of sEVs.

(TIF)

S7 Fig. Interaction of EVs-free medium with recipient primary macrophages.

EVs-free medium were labeled with PKH26, then separated by sucrose density gradient centrifugation and three fractions (F2-F4) were colleted and added separately to recipient macrophages during 3 hours (n = 3). Fluorescent images represent only cells or cells with sEVs, respectively (Bars = 50 μm). PKH26: sEVs; DAPI: cell nuclei; F-Actin: macrophages.

(TIF)

S8 Fig. Internalization of original EVs pellets by macrophages.

EVs pellets isolated by dUC (not purified by sucrose gradient) were labeled with PHK26 and added to macrophages during 15 min (n = 3), 30 min (n = 3), and 3 hours (n = 4). Bright field (DIC) and fluorescent images represent only cells or cells with extracellular particles, respectively (Bars = 50 μm). PKH26: EVs and other particles; DAPI: cell nuclei; F-Actin: macrophages.

(TIF)

S9 Fig. Protocol to layer sucrose density gradient.

(A) Position of tube angled 90° and (B) angled 60° during layering sucrose gradients. (C) Correct and (D) incorrect sucrose gradients layers. Black arrows point to layer formation during sucrose gradient; black arrowheads point to diffuse layers.

(TIF)

S1 Raw image

(PDF)

Data Availability Statement

All relevant data are within the paper and its Supporting Information files.

We have submitted all relevant data of our experiments to the EV-TRACK knowledgebase (EV-TRACK ID: EV200058) [57].


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES