Literature DB >> 21793789

Nucleotide bias observed with a short SELEX RNA aptamer library.

William H Thiel1, Thomas Bair, Kristina Wyatt Thiel, Justin P Dassie, William M Rockey, Craig A Howell, Xiuying Y Liu, Adam J Dupuy, Lingyan Huang, Richard Owczarzy, Mark A Behlke, James O McNamara, Paloma H Giangrande.   

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 (ΔG) (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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Year:  2011        PMID: 21793789      PMCID: PMC3198618          DOI: 10.1089/nat.2011.0288

Source DB:  PubMed          Journal:  Nucleic Acid Ther        ISSN: 2159-3337            Impact factor:   5.486


  36 in total

Review 1.  Adaptive recognition by nucleic acid aptamers.

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Journal:  Science       Date:  2000-02-04       Impact factor: 47.728

2.  Ultraconserved elements in the human genome.

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3.  Into the heart of darkness: large-scale clustering of human non-coding DNA.

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4.  The robustness of naturally and artificially selected nucleic acid secondary structures.

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Review 5.  Therapeutic applications of DNA and RNA aptamers.

Authors:  Kristina W Thiel; Paloma H Giangrande
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6.  Identification and characterization of nuclease-stabilized RNA molecules that bind human prostate cancer cells via the prostate-specific membrane antigen.

Authors:  Shawn E Lupold; Brian J Hicke; Yun Lin; Donald S Coffey
Journal:  Cancer Res       Date:  2002-07-15       Impact factor: 12.701

7.  Monitoring genomic sequences during SELEX using high-throughput sequencing: neutral SELEX.

Authors:  Bob Zimmermann; Tanja Gesell; Doris Chen; Christina Lorenz; Renée Schroeder
Journal:  PLoS One       Date:  2010-02-11       Impact factor: 3.240

8.  Systemic administration of optimized aptamer-siRNA chimeras promotes regression of PSMA-expressing tumors.

Authors:  Justin P Dassie; Xiu-Ying Liu; Gregory S Thomas; Ryan M Whitaker; Kristina W Thiel; Katie R Stockdale; David K Meyerholz; Anton P McCaffrey; James O McNamara; Paloma H Giangrande
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9.  RNA aptamers as reversible antagonists of coagulation factor IXa.

Authors:  Christopher P Rusconi; Elizabeth Scardino; Juliana Layzer; George A Pitoc; Thomas L Ortel; Dougald Monroe; Bruce A Sullenger
Journal:  Nature       Date:  2002-09-05       Impact factor: 49.962

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Journal:  Nucleic Acids Res       Date:  2009-03-21       Impact factor: 16.971

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  32 in total

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Authors:  Anders Barfod; Birendra Singh; Urban Johanson; Kristian Riesbeck; Per Kjellbom
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2.  Improving mRNA-Based Therapeutic Gene Delivery by Expression-Augmenting 3' UTRs Identified by Cellular Library Screening.

Authors:  Alexandra G Orlandini von Niessen; Marco A Poleganov; Corina Rechner; Arianne Plaschke; Lena M Kranz; Stephanie Fesser; Mustafa Diken; Martin Löwer; Britta Vallazza; Tim Beissert; Valesca Bukur; Andreas N Kuhn; Özlem Türeci; Ugur Sahin
Journal:  Mol Ther       Date:  2018-12-18       Impact factor: 11.454

3.  Analyzing HT-SELEX data with the Galaxy Project tools--A web based bioinformatics platform for biomedical research.

Authors:  William H Thiel; Paloma H Giangrande
Journal:  Methods       Date:  2015-10-23       Impact factor: 3.608

4.  MPBind: a Meta-motif-based statistical framework and pipeline to Predict Binding potential of SELEX-derived aptamers.

Authors:  Peng Jiang; Susanne Meyer; Zhonggang Hou; Nicholas E Propson; H Tom Soh; James A Thomson; Ron Stewart
Journal:  Bioinformatics       Date:  2014-05-28       Impact factor: 6.937

5.  Cell-internalization SELEX: method for identifying cell-internalizing RNA aptamers for delivering siRNAs to target cells.

Authors:  William H Thiel; Kristina W Thiel; Katie S Flenker; Tom Bair; Adam J Dupuy; James O McNamara; Francis J Miller; Paloma H Giangrande
Journal:  Methods Mol Biol       Date:  2015

6.  Identification of RNA aptamers that internalize into HPV-16 E6/E7 transformed tonsillar epithelial cells.

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Journal:  Virology       Date:  2013-09-08       Impact factor: 3.616

Review 7.  Aptamers as targeted therapeutics: current potential and challenges.

Authors:  Jiehua Zhou; John Rossi
Journal:  Nat Rev Drug Discov       Date:  2016-11-03       Impact factor: 84.694

8.  In vitro RNA SELEX for the generation of chemically-optimized therapeutic RNA drugs.

Authors:  Kevin T Urak; Sabrina Shore; William M Rockey; Shi-Jie Chen; Anton P McCaffrey; Paloma H Giangrande
Journal:  Methods       Date:  2016-03-10       Impact factor: 3.608

9.  RaptRanker: in silico RNA aptamer selection from HT-SELEX experiment based on local sequence and structure information.

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10.  Rapid identification of cell-specific, internalizing RNA aptamers with bioinformatics analyses of a cell-based aptamer selection.

Authors:  William H Thiel; Thomas Bair; Andrew S Peek; Xiuying Liu; Justin Dassie; Katie R Stockdale; Mark A Behlke; Francis J Miller; Paloma H Giangrande
Journal:  PLoS One       Date:  2012-09-04       Impact factor: 3.240

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