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Nucleotide Bias Observed with a Short SELEX RNA Aptamer Library

Authors: William H, Thiel; Thomas, Bair; Kristina, Wyatt Thiel; Justin P, Dassie; William M, Rockey; Craig A, Howell; Xiuying Y, Liu; +6 Authors

Nucleotide Bias Observed with a Short SELEX RNA Aptamer Library

Abstract

Systematic evolution of ligands by exponential enrichment (SELEX) is a powerful in vitro selection process used for over 2 decades to identify oligonucleotide sequences (aptamers) with desired properties (usually high affinity for a protein target) from randomized nucleic acid libraries. In the case of RNA aptamers, several highly complex RNA libraries have been described with RNA sequences ranging from 71 to 81 nucleotides (nt) in length. In this study, we used high-throughput sequencing combined with bioinformatics analysis to thoroughly examine the nucleotide composition of the sequence pools derived from several selections that employed an RNA library ( Sel2N20 ) with an abbreviated variable region. The Sel2N20 yields RNAs 51 nt in length, which unlike longer RNAs, are more amenable to large-scale chemical synthesis for therapeutic development. Our analysis revealed a consistent and early bias against inclusion of adenine, resulting in aptamers with lower predicted minimum free energies (Δ G ) (higher structural stability). This bias was also observed in control, “nontargeted” selections in which the partition step (against the target) was omitted, suggesting that the bias occurred in 1 or more of the amplification and propagation steps of the SELEX process.

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Keywords

Base Composition, Base Sequence, Transcription, Genetic, Sequence Analysis, RNA, Receptor, EphA2, SELEX Aptamer Technique, High-Throughput Nucleotide Sequencing, Aptamers, Nucleotide, Recombinant Proteins, Cell Line, Mice, Pyrimidines, Animals, Humans, Thermodynamics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
59
Top 10%
Top 10%
Top 10%
bronze