Abstract
Pseudomonas aeruginosa is an opportunistic pathogen that causes significant morbidity and mortality in immunocompromised patients, particular cystic fibrosis sufferers, burns victims, diabetics and neonates. It thrives in moist places where it forms biofilms that are exceedingly difficult to eradicate on hospital surfaces, in water supplies and implanted biomaterials. Using a live cell SELEX approach we selected DNA aptamers to P. aeruginosa grown as biofilms in microfluidic cells. From a pool of aptamer candidates showing tight binding a stem-loop structure was identified as being important for binding. Enhanced binding and increased specificity was achieved by truncating structures and generating chimeric aptamers from the pool of top candidates. The top candidates have low nanomolar binding constants and high discrimination for P. aeruginosa over other Gram-negative bacteria. The aptamers bind both planktonic grown and biofilm grown cells. They do not have intrinsic bacteriostatic or bactericidal activity, but are ideal candidates for modification for use as aptamer-drug conjugates and in biosensors.
Introduction
Pseudomonas aeruginosa is a clinically important, opportunistic, gram-negative bacterium that is responsible for a wide variety of severe hospital-acquired infections. It largely effects immune-compromised patients, particularly those with cystic fibrosis, as well as causing infections in burn wounds, and forming biofilms on implanted devices such as urinary catheters and heart stents [1]. P. aeruginosa is intrinsically resistant to many anti-microbials due to the low permeability of its outer membrane, and upregulation of multidrug efflux pump systems [2]. Resistance is further accentuated by the formation of biofilms composed of a matrix of excreted exopolysaccharides, proteins and DNA that helps protect the bacteria inside from antibiotic action [3]. Bacteria within the biofilm also exhibit adaptive changes in gene expression and a shift to a metabolically less active state making the infections harder to clear, which in part accounts for the recalcitrance of many P. aeruginosa infections to antibiotic therapy.
Aptamers are short single stranded DNA or RNA oligonucleotides that can be selected to a wide variety of targets, but their potential for use as therapeutics targeting pathogenic bacteria has not been well explored. Aptamers are selected using a SELEX (Systematic Evolution of Ligands by Exponential Enrichment) methodology [4], that can be modified to select aptamers to living whole bacteria, viruses or mammalian cells [5–7]. Aptamers that have bacteriostatic activity against Salmonella and inhibitory properties against Mycobacterium have been reported [8, 9]. Aptamers are relatively non-immunogenic and non-toxic due to their small size, and can be rapidly chemically synthesised and modified, making them an interesting candidate for new drug development. They form stable secondary structures which allows them to bind to their target with high affinity and specificity, potentially inducing a therapeutic effect. Currently no aptamers have been developed to live P. aeruginosa, only to fixed bacteria [10].
In this study we describe the selection and characterisation of DNA aptamers selected to live biofilm derived P. aeruginosa cells that bind with a high affinity and specificity to P. aeruginosa but not to a selection of other gram-negative bacteria.
Materials and methods
Bacterial culture
The bacterial strain used for SELEX selection was P. aeruginosa 692 (PA692) (ATCC 14502) obtained from New Zealand Culture Collection (Porirua, NZ). Other bacterial strains used were: P.aeruginosa PAO1 (ATCC 15692), Salmonella enterica serovar Typhi (ATCC 19430), Klebsiella pneumoniae (ATCC 13883), Enterobacter cloacae (ATCC 13047), Listeria innocua (ATCC 33090) and Escherichia coli DH5α. Additional P. aeruginosa strains used in binding studies were clinical isolates PA1024 (catheter, urine), PA1205 (left thigh), PA1323 (cystic fibrosis sputum), PA1079 (tracheal aspirate), and PA1236 (blood) obtained from Environmental Science and Research Culture Collection (Porirua, NZ). All bacterial strains were cultured in standard Luria Broth (LB) medium at 37°C for 16 hours with aeration. After growth, the cells were diluted 1:100 in fresh LB and grown for 4 hours to allow them to reach exponential phase.
Biofilm growth
The selection strain was grown as a biofilm in a microfluidic flow cell with an 800 μm channel depth (Ibidi, Germany). The flow cell was inoculated with 200 μL of exponentially growing culture diluted to an OD600 = 0.1. Cells were left to adhere for 2 hours prior to commencing flow of growth media (0.5x LB) at a flow rate of 1 mL/hr driven by a syringe pump (KD Scientific). Cultures were grown for 42 hours at ambient temperature (22°C) prior to washing loosely adhered planktonic cells away by increasing the flow rate to 5 mL/hr for 1 hour. The biofilm was collected by fluidic agitation and suspended in 1 mL 0.85% NaCl. Biofilm cells were washed three times in 0.85% NaCl with vortexing to dissociate and remove excess alginate and exopolysaccharides characteristic of biofilms. Cells were then washed by centrifugation and re-suspended in wash buffer consisting of phosphate buffered saline (PBS) containing 0.05% Tween 20 prior to washing with SELEX binding buffer (wash buffer, containing 1% BSA). The cells were re-suspended in binding buffer to a density of 106 CFU/mL in preparation for SELEX selection.
Whole-cell SELEX
Aptamers were selected against live P. aeruginosa cells grown as a biofilm using a modified whole-bacterium SELEX protocol [11]. The random ssDNA library (Integrated DNA technologies, USA) consisted of a random 45 nucleotide site flanked by two constant primer regions, ATGAGAGCGTCGGTGTGGTA-N45-TACTTCCGCACCCTCCTACA. Before cell-SELEX the ssDNA library was denatured by heating at 95°C for 5 min then snap cooled on ice for 10 min. For the first round of selection 1 nmol at 1 μM of ssDNA was incubated with bacteria in 1 mL binding buffer for 30 min at room temperature (22°C) with gentle agitation. Aptamer bound cells were recovered by centrifugation (3,500xg, 10 min) and washed twice with 1 mL wash buffer to remove unbound oligonucleotides. Washing time and volumes were increased in subsequent rounds to increase the stringency of selection. Bound oligonucleotides were recovered by re-suspending cells in 100 μL of TE buffer (10 mM Tris-HCl pH 8.0 containing 1 mM EDTA) and heating to 95°C for 5 min then centrifugation at 14,000xg for 15 min. The supernatant that contained the eluted candidate sequences was kept and used for PCR amplification to generate the next library.
Library amplification was monitored by real time PCR using a CFX-Connect Real Time PCR Detection System (Biorad, USA) with SYBR green chemistry to determine the optimal number of amplification cycles to prevent the formation of non-specific amplification products [11] (S1 Fig). Amplification was performed using SensiMix SYBR & Fluorescein mix (Bioline, UK), with 500 nM forward primer (5’- ATGAGAGCGTCGGTGTGGTA-3’) and 500 nM reverse primer (5’- TGTAGGAGGGTGCGGAAGTA-3’) (IDT, USA) in a total volume of 500 μL. A thermal cycle consisting of an initial enzyme activation step of 95°C for 10 min, then 95°C for 10 sec and 65°C for 15 sec for the optimised number of cycles was used for amplification and the quality of the PCR product was confirmed by agarose gel electrophoresis. The single stranded DNA library was regenerated by asymmetric PCR [12]. The asymmetric PCR was performed using 50 μL of the dsDNA PCR product as template in a final volume of 500 μL. Amplification was achieved using KAPA2G HotStart DNA polymerase (10 U) (KAPABiosystems, USA) with the supplied KAPA2G buffer A, and contained 0.2 mM dNTPS, 1 μM FAM labelled forward primer (5’-FAM-ATGAGAGCGTCGGTGTGGTA-3’) and 50 nM reverse primer. The PCR was run for 20 cycles using the same cycling conditions. The ssDNA PCR product was desalted using an Illustra NAP-5 column (GE Healthcare, UK) in to wash buffer and stored at -20°C until the next round of selection. ssDNA concentration was determined by 3% agarose electrophoresis and densitometry analysis against known concentration standards using ImageJ [13].
Cloning and sequencing of aptamers
After the 7th round of selection the evolved aptamer pool was PCR amplified using unmodified primers and purified using the QIAEX II Gel Extraction Kit (Qiagen, Germany). Cloning was performed using the TOPO-TA cloning kit (Thermo Fisher Scientific, USA) following the manufacturer’s instructions. White colonies were picked and grown individually overnight at 37°C, before being analysed for the correct sized insert by PCR using the aptamer specific primers. Plasmids from clones containing the desired insert were isolated using the GeneJET plasmid miniprep kit (Thermo Fisher Scientific, USA) following the supplied protocol and were sequenced by Macrogen Inc. (Korea) using the M13R-pUC primer. Aptamer candidates were synthesised (IDT, USA).
Flow cytometry
Flow cytometry was used to assess binding of the aptamer libraries and the aptamer candidates. Cells were grown in LB to an OD600 = 0.1, washed once in flow buffer (1x PBS containing 0.1% BSA), then re-suspended in 200 μL of flow buffer. A BD FACSCanto II flow cytometer (BD Biosciences, USA) was used to identify bacterial cells based upon forward and side scatter profiles. Aptamer binding was performed in a volume of 300 μL of flow buffer containing 10 μL of cell suspension and the desired concentration of library or aptamer. The samples were incubated at room temperature for 15 min with aptamer, collected by centrifugation (13,000xg, 2 min) then re-suspended in 300 μL PBS for flow analysis. At least 10,000 events in the gated bacterial population were collected and data analysed using Flowing Software 2.5.1 (Turku Centre for Biotechnology, Finland).
The dissociation constants were determined by the same method, incubating bacterial cells with aptamer candidate concentrations in the range of 1 nM to 250 nM in triplicate experiments. Specificity of binding was confirmed by performing experiments in parallel in which E.coli replaced P. aeruginosa as the target bacteria. Non-specific binding was subtracted from total binding and dissociation constants calculated using GraphPad Prism 5 with a one site specific binding model.
Metabolic activity
To determine whether aptamer binding induced changes in metabolic activity incorporation of 5-cyano-2,3-ditolyl tetrazolium chloride (CTC) was used. CTC is oxidised to an insoluble fluorescent precipitate by metabolically active cells [14]. Cells were incubated with aptamer for 15 min then 5 mM CTC was added and incubated for a further 15 min before being analysed by flow cytometry. Changes in cell permeability were determined by staining with propidium iodide (2 μg/mL, 1 min) and flow cytometry analysis.
Aptamer effects on bacterial growth
Bacterial growth was monitored by measuring the increase in turbidity at 600 nm as a function of time (growth assays) in 96-well plates using an Enspire 2300 Multilabel plate reader (Perkin Elmer, USA). Exponentially growing bacteria were washed and re-suspended in LB and approximately 2x105 CFU added to each well with 1 μM of unlabelled aptamer in a total volume of 200 μL. Wells with LB only, and untreated bacteria were used as controls for contamination and normal growth respectively. Each condition was performed in triplicate and OD600 readings were taken every 30 minutes for 16 hours at 37°C.
Results
Aptamer selection
Aptamers were selected to P. aeruginosa bacteria grown as a biofilm with whole-cell SELEX being undertaken for seven cycles. Flow cytometric analysis of fluorescently labelled aptamer pools was carried out to assess the binding affinity of each library as selection progressed. After seven rounds of selection the library (L7) showed enhanced binding relative to the initial starting library (L0) so further selection rounds were not undertaken as it was unclear whether further enrichment would be achieved relative to the potential loss of tight binders (S2 Fig). Fig 1A shows that both the L0 (blue) and L7 (red) libraries bind to P. aruginosa, as the median fluorescence intensity is greater than the unstained cells (black), but the L7 library had enhanced binding relative to the non-specific staining of the L0 library. This increased binding was not seen for E. coli cells (panel B) as both the L0 and L7 bound approximately equally. The seventh library was thus cloned in to E. coli and sequenced to identify potential aptamer sequences.
Screening of aptamer candidates and binding affinity determination
Single-stranded aptamer candidates were prepared from the plasmids by asymmetric PCR using a fluorescently labelled primer to allow analysis by flow cytometry, and changes in metabolic activity and membrane permeability were determined by staining with CTC and PI respectively. Enzymatic preparation of aptamer candidates rather than chemical synthesis was undertaken as an initial screen to reduce costs as only small amounts of each candidate was required. The aptamer candidates were ranked according to binding affinity (shift in median fluorescence intensity of stained cells). Samples were also tested for their ability to alter metabolic activity or membrane permeability as previous studies have identified some bacterial aptamers that have bacteriostatic activity and depolarise cells [8]. No significant changes in CTC incorporaton or PI staining were detected but differences in binding were determined. Four candidates, JN17, JN21, JN08 and JN27, were selected as they were tight binders. The top two candidates, JN08 and JN27 were chemically synthesised to allow further characterisation.
The secondary structures of the aptamers were predicted using mfold software [15] set for conditions used in binding assays (150 mM Na+ and 10 mM Mg2+, at 22°C). The secondary structure of JN27 indicated a single stem-loop as being the only significant stable structure suggesting this structural motif may be important for binding. To test whether this motif was important a truncated version comprising just the stem-loop (JN27.SH) was synthesised and it’s binding compared to the full length aptamer by incubating P. aeruginosa cells with differing concentrations and determining the median fluorescence of cells by flow cytometry (S3 Fig). Fig 2A shows the plots used for calculating the dissociation constants for JN08 and JN27. Fig 2B showed that the truncated versions that just contained the stem-loop structure identified by mfold also bound tightly (black and red curves). Having confirmed the stem-loops as being important, we reasoned that related stem loop motifs may be present in other aptamer candidates and that the structure may also be important for binding. To test this mfold was used to predict the secondary structures of the top binding candidates identified from the initial screen. Several of the tighter binding candidates had similar stem-loop motifs, so truncated versions were prepared and their binding evaluated. The truncated aptamer candidates JN17.SH, JN21.SH and JN08.SH all showed tight binding to P. aeruginosa (Fig 2B).
To further investigate the stem loop motifs, in silico mating was done to generate new stem loop combinations using a mix and match of stem (St) and loop (Lp) structures. Three new chimeric aptamers, St21Lp17, St17Lp21 and St08Lp17 showed enhanced binding (Fig 2C) with Kds in the low nanomolar range (10–55 nM). All aptamer sequences, secondary structures and respective dissociation constants are shown in Fig 3.
Determination of species specificity
To determine whether the aptamers were selective for P. aeruginosa, the identified aptamers were evaluated for binding to other Gram-negative bacterial species (Salmonella enterica serovar Typhi, Klebsiella pneumoniae, Enterobacter cloacae, Escherichia coli DH5α) and the Gram-positive bacteria Listeria innocua, in comparison with P. aeruginosa laboratory strains PA01 and PA692 (Fig 4). All aptamers were selective for P. aeruginosa with minimal cross-reactivity to the tested bacteria.
To determine whether the aptamers were able to bind to clinical isolates of P. aeruginosa, five clinical isolates were tested alongside the two laboratory strains PA01 and PA692 as a positive control for binding, and E. coli as a negative control. Fig 5 shows that JN27 and JN08 were able to bind to the clinical isolates, albeit with differing efficiences. In general JN27 gave more intense staining than JN08, although neither aptamer recognised strain PA1323 as well as the others. In all cases staining was greater than that for E. coli which was neglible.
Determination of intrinsic antibacterial effects
As some aptamers have been reported to have intrinsic antibacterial effects [8], each of the aptamers were tested for possible bacteriostatic or bactericidal effects using growth assays (S4 Fig), CTC staining, and increased PI uptake following a 15 min incubation with 1 μM aptamer. Our aptamers had no intrinsic bacteriostatic and/or bactericidal activity, even though they are highly specific for P. aeruginosa.
Discussion
P. aeruginosa is an important bacterial pathogen that causes significant morbidity and mortality. It is now listed as the number two threat on the World Health Organisation list of anti-microbial resistant bacteria (2017) [16]. Current therapeutic options are limited due to P. aeruginosa’s intrinsic multi-drug resistance mechanisms and new therapeutics are urgently required. In this study we used a whole-cell SELEX procedure to select ssDNA aptamers against live, biofilm derived PA692 P. aeruginosa cells. While our aptamers were derived from cells grown as bioflms they bound live planktonically grown P. aeruginosa. The aptamers binding to live cells was confirmed by SYTO9/PI (live/dead) staining of planktonically grown cultures. In our hands the exponentially growing cultures used for testing contained more than 90% live cells based upon the PI staining profile during flow cytometry analysis and we isolated a number of aptamers that bind to these cells with high affinity and specificity, and evaluated the top candidates for antibacterial activity.
The cell-SELEX approach has been used to develop aptamers to both prokaryotic and eukaryotic cells, with much effort being directed toward developing tumour-specific aptamers. The cell-SELEX approach is particularly powerful as the epitopes that differentiate between tumour types, or in our case, bacterial species need not be known. The identification of the bound antigen is ultimately beneficial as it may allow rational modification of the aptamer sequence to tailor binding parameters, however, identification of the binding target is not a trivial undertaking, and was not investigated in this study.
Secondary structure analysis revealed a putative stem-loop motif that was common amongst the tighter binding candidates isolated from the final selection round. Truncation of the structures confirmed this stem-loop as being important for binding, and that truncation in most cases increased binding. Development and testing of chimeric aptamers with mixed stem and loop sequences from different aptamers corroborated our hypothesis that the stem loop structure was important as the chimeras showed tight, and for some, improved binding affinity. The ability of aptamers to show neutralising activity upon binding to cell surface receptors or ligands is well reported, but there are few reports describing antimicrobial activity caused by aptamer binding. While the aptamers we generated don’t have intrinsic bacteriostatic or bactericidal activity, their high affinity and specificity for P. aeruginosa makes them ideal candidates for use in biosensors or as the targeting moiety of conjugated therapeutics. The use of aptamers in biosensors is a rapidly growing field as aptamers are ideally suited for this purpose. The detection of P. aeruginosa in water supplies or moist environments such as in hospitals where it forms biofilms inside taps and on equipment is highly problematic, especially in neonatal wards where an opportunistic infection is usually fatal. We are currently evaluating our aptamers for use in biosensors to detect P.aeruginosa shed from biofilms.
Aptamers also have great potential for use as the targeting moiety for therapeutics and their use as such has been well reviewed [5, 17, 18]. Surprisingly, there are very few reports detailing aptamer targeting of antimicrobial compounds to bacteria. Aptamer targeting of antimicrobials offers great potential for increasing the therapeutic index of existing antimicrobials by allowing a greater effective concentration to be delivered to the microbes at the site of infection. This has the advantages of allowing the use of lower systemic doses to reduce patient toxicity, whilst also reducing the acquisition of resistance by achieving a higher concentration at the microbial cell. We believe they have strong potential for use in therapeutic applications and our group is currently pursuing this avenue of research.
To the best of our knowledge, we are the first to report DNA aptamers derived to live P. aeruginosa cells.
Supporting information
Acknowledgments
We thank Varun Venkatesh, Euan Russel and Fabian Day for helpful discussions.
Data Availability
All flow data files are available from the flow repository database Fig 1. Data - http://flowrepository.org/id/RvFrnLtGZGNi8G10wSnkEu5xhD8uMXvCrlD2hmYXEnErlHLjc6WmACOS0wXkPyJvFig 2. Data - http://flowrepository.org/id/RvFrQ7ycadD0fN0Vw1wTsFMCptas9mh4irBxlNAVLMocSQMQqEkIESNRn9eURL8IFig 3. Data - http://flowrepository.org/id/RvFr0YiU71LXDzaC1w0iZAhGH9lsw6QhtsFOKWfB5GamHLrR6RfFI85L7PymuNNNFig 4. Data - http://flowrepository.org/id/RvFrDsnK8MNUOh2AEnhx3PE630SY8mzSyjjPOFfcs8c0U0SZInHWjGz6ukT577R7.
Funding Statement
This work was supported by the Wellington Medical Research Foundation (https://researchforlife.org.nz/), grant 2015/257 (DD). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.Mulcahy LR, Isabella VM, Lewis K. Pseudomonas aeruginosa biofilms in disease. Microb Ecol. 2014; 68(1): 1–12. doi: 10.1007/s00248-013-0297-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Poole K. Pseudomonas aeruginosa: resistance to the max. Front Microbiol. 2011; 2: 65 doi: 10.3389/fmicb.2011.00065 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Taylor PK, Yeung AT, Hancock RE. Antibiotic resistance in Pseudomonas aeruginosa biofilms: towards the development of novel anti-biofilm therapies. J Biotechnol. 2014; 191: 121–30. doi: 10.1016/j.jbiotec.2014.09.003 [DOI] [PubMed] [Google Scholar]
- 4.Ellington AD, Szostak JW, In vitro selection of RNA molecules that bind specific ligands. Nature. 1990; 346(6287): 818–22. doi: 10.1038/346818a0 [DOI] [PubMed] [Google Scholar]
- 5.Ye M, Hu J, Peng M, Liu Ji, Liu Ju, Liu H, et al. Generating Aptamers by Cell-SELEX for Applications in Molecular Medicine. Int J Mol Sci. 2012; 13(3): 3341–53. doi: 10.3390/ijms13033341 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Zimbres FM, Tarnok A, Ulrich H, Wrenger C. Aptamers: novel molecules as diagnostic markers in bacterial and viral infections? Biomed Res Int. 2013; 2013: 731516 doi: 10.1155/2013/731516 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Ababneh N, Alshaer W, Allozi O, Mahafzah A, El-Khateeb M, Hillaireau H et al. In Vitro Selection of Modified RNA Aptamers Against CD44 Cancer Stem Cell Marker. Nucleic Acid Ther. 2013; 23(6): 401–407. doi: 10.1089/nat.2013.0423 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Kolovskaya OS, Savitskaya AG, Zamay TN, Reshetneva IT, Zamay GS, Erkaev EN, et al. Development of bacteriostatic DNA aptamers for salmonella. J Med Chem. 2013; 56(4): 1564–72. doi: 10.1021/jm301856j [DOI] [PubMed] [Google Scholar]
- 9.Chen F, Zhou J, Luo F, Mohammed A, Zhang X. Aptamer from whole-bacterium SELEX as new therapeutic reagent against virulent Mycobacterium tuberculosis. Biochem Biophys Res Commun. 2007; 357(3): 743–8. doi: 10.1016/j.bbrc.2007.04.007 [DOI] [PubMed] [Google Scholar]
- 10.Wang KY, Zeng YL, Yang XY, Li WB, Lan XP. Utility of aptamer-fluorescence in situ hybridisation for rapid detection of Pseudomonas aeruginosa. Eur J Clin Microbiol Infect Dis. 2011; 30: 273 doi: 10.1007/s10096-010-1074-0 [DOI] [PubMed] [Google Scholar]
- 11.Savory N, Nzakizwanayo J, Abe K, Yoshida W, Ferri S, Dedi C, et al. Selection of DNA aptamers against uropathogenic Escherichia coli NSM59 by quantitative PCR controlled Cell-SELEX. J Microbiol Methods. 2014; 104: 94–100. doi: 10.1016/j.mimet.2014.06.016 [DOI] [PubMed] [Google Scholar]
- 12.Heiat M, Ranjbar R, Latifi AM, Rasaee MJ, Farnoosh G. Essential strategies to optimize asymmetric PCR conditions as a reliable method to generate large amount of ssDNA aptamers. Biotechnol Appl Biochem. 2017. doi: 10.1002/bab.1507 [DOI] [PubMed] [Google Scholar]
- 13.Schneider CA, Rasband WS, KW E, NIH Image to ImageJ: 25 years of image analysis. Nat Methods. 2012; 9: 671–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Créach V, Baudoux AC, Bertru G, Le Rouzic B. Direct estimate of active bacteria- CTC use and limitations. J Microbiol Methods. 2003; 52(1): 19–28. [DOI] [PubMed] [Google Scholar]
- 15.Zuker M. Mfold web server for nucleic acid folding and hybridization prediction. Nucleic Acids Research. 2003; 31(13): 3406–3415. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Willyard C. Drug-resistant bacteria ranked. Nature. 2017; 543: 15 doi: 10.1038/nature.2017.21550 [DOI] [PubMed] [Google Scholar]
- 17.Sun H, Zhu X, Y Lu P, Rosato RR, Tan W, Zu Y. Oligonucleotide aptamers: new tools for targeted cancer therapy. Mol Ther Nucleic Acids. 2014; 3: e182 doi: 10.1038/mtna.2014.32 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Bruno JG. A review of therapeutic aptamer conjugates with emphasis on new approaches. Pharmaceuticals (Basel). 2013; 6(3): 340–57. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All flow data files are available from the flow repository database Fig 1. Data - http://flowrepository.org/id/RvFrnLtGZGNi8G10wSnkEu5xhD8uMXvCrlD2hmYXEnErlHLjc6WmACOS0wXkPyJvFig 2. Data - http://flowrepository.org/id/RvFrQ7ycadD0fN0Vw1wTsFMCptas9mh4irBxlNAVLMocSQMQqEkIESNRn9eURL8IFig 3. Data - http://flowrepository.org/id/RvFr0YiU71LXDzaC1w0iZAhGH9lsw6QhtsFOKWfB5GamHLrR6RfFI85L7PymuNNNFig 4. Data - http://flowrepository.org/id/RvFrDsnK8MNUOh2AEnhx3PE630SY8mzSyjjPOFfcs8c0U0SZInHWjGz6ukT577R7.