Advancements in Aptamer Discovery Technologies.

Affinity reagents that specifically bind to their target molecules are invaluable tools in nearly every field of modern biomedicine. Nucleic acid-based aptamers offer many advantages in this domain, because they are chemically synthesized, stable, and economical. Despite these compelling features, aptamers are currently not widely used in comparison to antibodies. This is primarily because conventional aptamer-discovery techniques such as SELEX are time-consuming and labor-intensive and often fail to produce aptamers with comparable binding performance to antibodies. This Account describes a body of work from our laboratory in developing advanced methods for consistently producing high-performance aptamers with higher efficiency, fewer resources, and, most importantly, a greater probability of success. We describe our efforts in systematically transforming each major step of the aptamer discovery process: selection, analysis, and characterization. To improve selection, we have developed microfluidic devices (M-SELEX) that enable discovery of high-affinity aptamers after a minimal number of selection rounds by precisely controlling the target concentration and washing stringency. In terms of improving aptamer pool analysis, our group was the first to use high-throughput sequencing (HTS) for the discovery of new aptamers. We showed that tracking the enrichment trajectory of individual aptamer sequences enables the identification of high-performing aptamers without requiring full convergence of the selected aptamer pool. HTS is now widely used for aptamer discovery, and open-source software has become available to facilitate analysis. To improve binding characterization, we used HTS data to design custom aptamer arrays to measure the affinity and specificity of up to ∼10(4) DNA aptamers in parallel as a means to rapidly discover high-quality aptamers. Most recently, our efforts have culminated in the invention of the "particle display" (PD) screening system, which transforms solution-phase aptamers into "aptamer particles" that can be individually screened at high-throughput via fluorescence-activated cell sorting. Using PD, we have shown the feasibility of rapidly generating aptamers with exceptional affinities, even for proteins that have previously proven intractable to aptamer discovery. We are confident that these advanced aptamer-discovery methods will accelerate the discovery of aptamer reagents with excellent affinities and specificities, perhaps even exceeding those of the best monoclonal antibodies. Since aptamers are reproducible, renewable, stable, and can be distributed as sequence information, we anticipate that these affinity reagents will become even more valuable tools for both research and clinical applications.

[1]  Khalid K. Alam,et al.  FASTAptamer: A Bioinformatic Toolkit for High-throughput Sequence Analysis of Combinatorial Selections , 2015, Molecular therapy. Nucleic acids.

[2]  R. Stoltenburg,et al.  SELEX--a (r)evolutionary method to generate high-affinity nucleic acid ligands. , 2007, Biomolecular engineering.

[3]  K D Wittrup,et al.  Yeast surface display for directed evolution of protein expression, affinity, and stability. , 2000, Methods in enzymology.

[4]  M. Eisenstein,et al.  Particle display: a quantitative screening method for generating high-affinity aptamers. , 2014, Angewandte Chemie.

[5]  Juan M. Vaquerizas,et al.  Multiplexed massively parallel SELEX for characterization of human transcription factor binding specificities. , 2010, Genome research.

[6]  M. Baker Reproducibility crisis: Blame it on the antibodies , 2015, Nature.

[7]  Carlotta Guiducci,et al.  More DNA-Aptamers for Small Drugs: A Capture-SELEX Coupled with Surface Plasmon Resonance and High-Throughput Sequencing. , 2015, ACS combinatorial science.

[8]  R. Stewart,et al.  Quantitative selection and parallel characterization of aptamers , 2013, Proceedings of the National Academy of Sciences.

[9]  Jonathan Scolnick,et al.  Aptamer selection by high-throughput sequencing and informatic analysis. , 2011, BioTechniques.

[10]  D. Gorenstein,et al.  The enhancement of PCR amplification of a random sequence DNA library by DMSO and betaine: application to in vitro combinatorial selection of aptamers. , 2005, Journal of biochemical and biophysical methods.

[11]  Andreas Plückthun,et al.  Reproducibility: Standardize antibodies used in research , 2015, Nature.

[12]  Rebecca J. Whelan,et al.  Selection of DNA aptamers for ovarian cancer biomarker HE4 using CE-SELEX and high-throughput sequencing , 2015, Analytical and Bioanalytical Chemistry.

[13]  Mark P. McPike,et al.  Acyclic Identification of Aptamers for Human alpha-Thrombin Using Over-Represented Libraries and Deep Sequencing , 2011, PloS one.

[14]  S. Luo,et al.  Direct measurement of DNA affinity landscapes on a high-throughput sequencing instrument , 2011, Nature Biotechnology.

[15]  Jeffrey B.-H. Tok,et al.  Massively Parallel Interrogation of Aptamer Sequence, Structure and Function , 2008, PloS one.

[16]  Juewen Liu,et al.  Functional nucleic acid sensors. , 2009, Chemical reviews.

[17]  G. Georgiou,et al.  Antibody affinity maturation using bacterial surface display. , 1998, Protein engineering.

[18]  M. Djordjevic SELEX experiments: new prospects, applications and data analysis in inferring regulatory pathways. , 2007, Biomolecular engineering.

[19]  Nicholas O Fischer,et al.  Single microbead SELEX for efficient ssDNA aptamer generation against botulinum neurotoxin. , 2008, Chemical communications.

[20]  Howard Y. Chang,et al.  Quantitative analysis of RNA-protein interactions on a massively parallel array for mapping biophysical and evolutionary landscapes , 2014, Nature Biotechnology.

[21]  William H. Thiel,et al.  Analyzing HT-SELEX data with the Galaxy Project tools--A web based bioinformatics platform for biomedical research. , 2016, Methods.

[22]  L. Gold,et al.  Systematic evolution of ligands by exponential enrichment: RNA ligands to bacteriophage T4 DNA polymerase. , 1990, Science.

[23]  S. Silverman Artificial Functional Nucleic Acids: Aptamers, Ribozymes, and Deoxyribozymes Identified by In Vitro Selection , 2009 .

[24]  Seung Soo Oh,et al.  Quantitative selection of DNA aptamers through microfluidic selection and high-throughput sequencing , 2010, Proceedings of the National Academy of Sciences.

[25]  Teresa M. Przytycka,et al.  AptaCluster - A Method to Cluster HT-SELEX Aptamer Pools and Lessons from Its Application , 2014, RECOMB.

[26]  C. Tuerk,et al.  SELEXION. Systematic evolution of ligands by exponential enrichment with integrated optimization by non-linear analysis. , 1991, Journal of molecular biology.

[27]  R. Stoltenburg,et al.  FluMag-SELEX as an advantageous method for DNA aptamer selection , 2005, Analytical and bioanalytical chemistry.

[28]  J. Szostak,et al.  In vitro selection of RNA molecules that bind specific ligands , 1990, Nature.

[29]  G. Winter,et al.  Making antibodies by phage display technology. , 1994, Annual review of immunology.

[30]  Neal W. Woodbury,et al.  Exploring the sequence space of a DNA aptamer using microarrays , 2007, Nucleic acids research.

[31]  Paul J. Atzberger,et al.  Influence of Target Concentration and Background Binding on In Vitro Selection of Affinity Reagents , 2012, PloS one.

[32]  L. Gold,et al.  The mathematics of SELEX against complex targets. , 1998, Journal of molecular biology.

[33]  Tracy R. Keeney,et al.  Aptamer-based multiplexed proteomic technology for biomarker discovery , 2010, Nature Precedings.

[34]  Seung Soo Oh,et al.  Generation of highly specific aptamers via micromagnetic selection. , 2009, Analytical chemistry.

[35]  A. Heeger,et al.  Micromagnetic selection of aptamers in microfluidic channels , 2009, Proceedings of the National Academy of Sciences.

[36]  J. Lis,et al.  New Technologies Provide Quantum Changes in the Scale, Speed, and Success of SELEX Methods and Aptamer Characterization , 2014, Molecular therapy. Nucleic acids.

[37]  Zoltán Konthur,et al.  Probing the SELEX Process with Next-Generation Sequencing , 2011, PloS one.

[38]  Weihong Tan,et al.  In vitro Selection of DNA Aptamers to Glioblastoma Multiforme. , 2011, ACS chemical neuroscience.

[39]  I. Rajapakse,et al.  SEWAL: an open-source platform for next-generation sequence analysis and visualization , 2010, Nucleic acids research.

[40]  Abdullah Ozer,et al.  Comprehensive Analysis of RNA-Protein Interactions by High Throughput Sequencing-RNA Affinity Profiling , 2014, Nature Methods.