Literature DB >> 24872422

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

Peng Jiang1, Susanne Meyer1, Zhonggang Hou1, Nicholas E Propson1, H Tom Soh1, James A Thomson2, Ron Stewart1.   

Abstract

UNLABELLED: Aptamers are 'synthetic antibodies' that can bind to target molecules with high affinity and specificity. Aptamers are chemically synthesized and their discovery can be performed completely in vitro, rather than relying on in vivo biological processes, making them well-suited for high-throughput discovery. However, a large fraction of the most enriched aptamers in Systematic Evolution of Ligands by EXponential enrichment (SELEX) rounds display poor binding activity. Here, we present MPBind, a Meta-motif-based statistical framework and pipeline to Predict the BIND: ing potential of SELEX-derived aptamers. Using human embryonic stem cell SELEX-Seq data, MPBind achieved high prediction accuracy for binding potential. Further analysis showed that MPBind is robust to both polymerase chain reaction amplification bias and incomplete sequencing of aptamer pools. These two biases usually confound aptamer analysis.
AVAILABILITY AND IMPLEMENTATION: MPBind software and documents are available at http://www.morgridge.net/MPBind.html. The human embryonic stem cells whole-cell SELEX-Seq data are available at http://www.morgridge.net/Aptamer/.
© The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24872422      PMCID: PMC4155251          DOI: 10.1093/bioinformatics/btu348

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  8 in total

1.  Genome-wide determination of a broad ESRP-regulated posttranscriptional network by high-throughput sequencing.

Authors:  Kimberly A Dittmar; Peng Jiang; Juw Won Park; Karine Amirikian; Ji Wan; Shihao Shen; Yi Xing; Russell P Carstens
Journal:  Mol Cell Biol       Date:  2012-02-21       Impact factor: 4.272

2.  Quantitative selection of DNA aptamers through microfluidic selection and high-throughput sequencing.

Authors:  Minseon Cho; Yi Xiao; Jeff Nie; Ron Stewart; Andrew T Csordas; Seung Soo Oh; James A Thomson; H Tom Soh
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-12       Impact factor: 11.205

3.  An RNA motif that binds ATP.

Authors:  M Sassanfar; J W Szostak
Journal:  Nature       Date:  1993-08-05       Impact factor: 49.962

4.  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; Adam J Dupuy; Lingyan Huang; Richard Owczarzy; Mark A Behlke; James O McNamara; Paloma H Giangrande
Journal:  Nucleic Acid Ther       Date:  2011-06-28       Impact factor: 5.486

5.  A tenascin-C aptamer identified by tumor cell SELEX: systematic evolution of ligands by exponential enrichment.

Authors:  Dion A Daniels; Hang Chen; Brian J Hicke; Kristine M Swiderek; Larry Gold
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-15       Impact factor: 11.205

6.  Embryonic stem cell lines derived from human blastocysts.

Authors:  J A Thomson; J Itskovitz-Eldor; S S Shapiro; M A Waknitz; J J Swiergiel; V S Marshall; J M Jones
Journal:  Science       Date:  1998-11-06       Impact factor: 47.728

Review 7.  Pegaptanib, a targeted anti-VEGF aptamer for ocular vascular disease.

Authors:  Eugene W M Ng; David T Shima; Perry Calias; Emmett T Cunningham; David R Guyer; Anthony P Adamis
Journal:  Nat Rev Drug Discov       Date:  2006-02       Impact factor: 84.694

8.  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

  8 in total
  13 in total

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

Authors:  Jan Hoinka; Alexey Berezhnoy; Phuong Dao; Zuben E Sauna; Eli Gilboa; Teresa M Przytycka
Journal:  Nucleic Acids Res       Date:  2015-04-13       Impact factor: 16.971

2.  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

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

Authors:  Ryoga Ishida; Tatsuo Adachi; Aya Yokota; Hidehito Yoshihara; Kazuteru Aoki; Yoshikazu Nakamura; Michiaki Hamada
Journal:  Nucleic Acids Res       Date:  2020-08-20       Impact factor: 16.971

Review 4.  In silico design of novel aptamers utilizing a hybrid method of machine learning and genetic algorithm.

Authors:  Mahsa Torkamanian-Afshar; Sajjad Nematzadeh; Maryam Tabarzad; Ali Najafi; Hossein Lanjanian; Ali Masoudi-Nejad
Journal:  Mol Divers       Date:  2021-02-07       Impact factor: 2.943

5.  Selection of DNA aptamers for ovarian cancer biomarker HE4 using CE-SELEX and high-throughput sequencing.

Authors:  Rachel M Eaton; Jamie A Shallcross; Liora E Mael; Kepler S Mears; Lisa Minkoff; Delia J Scoville; Rebecca J Whelan
Journal:  Anal Bioanal Chem       Date:  2015-04-12       Impact factor: 4.142

6.  Characterization and target identification of a DNA aptamer that labels pluripotent stem cells.

Authors:  Zhonggang Hou; Susanne Meyer; Nicholas E Propson; Jeff Nie; Peng Jiang; Ron Stewart; James A Thomson
Journal:  Cell Res       Date:  2015-01-16       Impact factor: 25.617

Review 7.  Aptamer-nanoparticle complexes as powerful diagnostic and therapeutic tools.

Authors:  Hunho Jo; Changill Ban
Journal:  Exp Mol Med       Date:  2016-05-06       Impact factor: 8.718

8.  Galaxy Workflows for Web-based Bioinformatics Analysis of Aptamer High-throughput Sequencing Data.

Authors:  William H Thiel
Journal:  Mol Ther Nucleic Acids       Date:  2016       Impact factor: 8.886

Review 9.  Applications of High-Throughput Sequencing for In Vitro Selection and Characterization of Aptamers.

Authors:  Nam Nguyen Quang; Gérald Perret; Frédéric Ducongé
Journal:  Pharmaceuticals (Basel)       Date:  2016-12-10

10.  Recognizing RNA structural motifs in HT-SELEX data for ribosomal protein S15.

Authors:  Shermin Pei; Betty L Slinger; Michelle M Meyer
Journal:  BMC Bioinformatics       Date:  2017-06-06       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.