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U.S. Department of Health and Human Services

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Nucleic Acids Res 2015 Jul 13;43(12):5699-707

Large scale analysis of the mutational landscape in HT-SELEX improves aptamer discovery.

Hoinka J, Berezhnoy A, Dao P, Sauna ZE, Gilboa E, Przytycka TM


High-Throughput (HT) SELEX combines SELEX (Systematic Evolution of Ligands by EXponential Enrichment), a method for aptamer discovery, with massively parallel sequencing technologies. This emerging technology provides data for a global analysis of the selection process and for simultaneous discovery of a large number of candidates but currently lacks dedicated computational approaches for their analysis. To close this gap, we developed novel in-silico methods to analyze HT-SELEX data and utilized them to study the emergence of polymerase errors during HT-SELEX. Rather than considering these errors as a nuisance, we demonstrated their utility for guiding aptamer discovery. Our approach builds on two main advancements in aptamer analysis: AptaMut-a novel technique allowing for the identification of polymerase errors conferring an improved binding affinity relative to the 'parent' sequence and AptaCluster-an aptamer clustering algorithm which is to our best knowledge, the only currently available tool capable of efficiently clustering entire aptamer pools. We applied these methods to an HT-SELEX experiment developing aptamers against Interleukin 10 receptor alpha chain (IL-10RA) and experimentally confirmed our predictions thus validating our computational methods.

Category: Journal Article
PubMed ID: #25870409 DOI: 10.1093/nar/gkv308
Includes FDA Authors from Scientific Area(s): Biologics
Entry Created: 2016-02-19