Literature DB >> 26481156

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

William H Thiel1, Paloma H Giangrande2.   

Abstract

The development of DNA and RNA aptamers for research as well as diagnostic and therapeutic applications is a rapidly growing field. In the past decade, the process of identifying aptamers has been revolutionized with the advent of high-throughput sequencing (HTS). However, bioinformatics tools that enable the average molecular biologist to analyze these large datasets and expedite the identification of candidate aptamer sequences have been lagging behind the HTS revolution. The Galaxy Project was developed in order to efficiently analyze genome, exome, and transcriptome HTS data, and we have now applied these tools to aptamer HTS data. The Galaxy Project's public webserver is an open source collection of bioinformatics tools that are powerful, flexible, dynamic, and user friendly. The online nature of the Galaxy webserver and its graphical interface allow users to analyze HTS data without compiling code or installing multiple programs. Herein we describe how tools within the Galaxy webserver can be adapted to pre-process, compile, filter and analyze aptamer HTS data from multiple rounds of selection.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aptamer; Bioinformatics; Galaxy; High-throughput sequencing (HTS); Next-generation sequencing (NGS); SELEX

Mesh:

Substances:

Year:  2015        PMID: 26481156      PMCID: PMC4792767          DOI: 10.1016/j.ymeth.2015.10.008

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  18 in total

1.  Systematic evolution of ligands by exponential enrichment: RNA ligands to bacteriophage T4 DNA polymerase.

Authors:  C Tuerk; L Gold
Journal:  Science       Date:  1990-08-03       Impact factor: 47.728

2.  Identification of sequence-structure RNA binding motifs for SELEX-derived aptamers.

Authors:  Jan Hoinka; Elena Zotenko; Adam Friedman; Zuben E Sauna; Teresa M Przytycka
Journal:  Bioinformatics       Date:  2012-06-15       Impact factor: 6.937

3.  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

4.  Galaxy: a platform for interactive large-scale genome analysis.

Authors:  Belinda Giardine; Cathy Riemer; Ross C Hardison; Richard Burhans; Laura Elnitski; Prachi Shah; Yi Zhang; Daniel Blankenberg; Istvan Albert; James Taylor; Webb Miller; W James Kent; Anton Nekrutenko
Journal:  Genome Res       Date:  2005-09-16       Impact factor: 9.043

5.  In vitro selection of RNA molecules that bind specific ligands.

Authors:  A D Ellington; J W Szostak
Journal:  Nature       Date:  1990-08-30       Impact factor: 49.962

6.  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

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.  Delivery of chemo-sensitizing siRNAs to HER2+-breast cancer cells using RNA aptamers.

Authors:  Kristina W Thiel; Luiza I Hernandez; Justin P Dassie; William H Thiel; Xiuying Liu; Katie R Stockdale; Alissa M Rothman; Frank J Hernandez; James O McNamara; Paloma H Giangrande
Journal:  Nucleic Acids Res       Date:  2012-03-30       Impact factor: 16.971

9.  Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences.

Authors:  Jeremy Goecks; Anton Nekrutenko; James Taylor
Journal:  Genome Biol       Date:  2010-08-25       Impact factor: 13.583

10.  Probing the SELEX process with next-generation sequencing.

Authors:  Tatjana Schütze; Barbara Wilhelm; Nicole Greiner; Hannsjörg Braun; Franziska Peter; Mario Mörl; Volker A Erdmann; Hans Lehrach; Zoltán Konthur; Marcus Menger; Peter F Arndt; Jörn Glökler
Journal:  PLoS One       Date:  2011-12-29       Impact factor: 3.240

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  15 in total

1.  Identification and characterization of nucleobase-modified aptamers by click-SELEX.

Authors:  Franziska Pfeiffer; Fabian Tolle; Malte Rosenthal; Gerhard Markus Brändle; Jörg Ewers; Günter Mayer
Journal:  Nat Protoc       Date:  2018-04-26       Impact factor: 13.491

2.  Phage Display Screening for Alba Superfamily Proteins from the Human Malaria Parasite, Plasmodium falciparum Reveals a High Level of Association with Protein Modification Pathways and Hints at New Drug Targets.

Authors:  Momoko Tajiri
Journal:  Acta Parasitol       Date:  2021-02-08       Impact factor: 1.440

3.  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

4.  Ligand-Guided Selection with Artificially Expanded Genetic Information Systems against TCR-CD3ε.

Authors:  Hasan Zumrut; Zunyi Yang; Nicole Williams; Joekeem Arizala; Sana Batool; Steven A Benner; Prabodhika Mallikaratchy
Journal:  Biochemistry       Date:  2020-01-08       Impact factor: 3.162

5.  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 6.  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

Review 7.  Aptamer Bioinformatics.

Authors:  Andrew B Kinghorn; Lewis A Fraser; Shaolin Lang; Simon Chi-Chin Shiu; Julian A Tanner
Journal:  Int J Mol Sci       Date:  2017-11-24       Impact factor: 5.923

Review 8.  Aptamer Cell-Based Selection: Overview and Advances.

Authors:  Silvia Catuogno; Carla Lucia Esposito
Journal:  Biomedicines       Date:  2017-08-14

Review 9.  Aptamer selection and applications for breast cancer diagnostics and therapy.

Authors:  Mei Liu; Xiaocheng Yu; Zhu Chen; Tong Yang; Dandan Yang; Qianqian Liu; Keke Du; Bo Li; Zhifei Wang; Song Li; Yan Deng; Nongyue He
Journal:  J Nanobiotechnology       Date:  2017-11-13       Impact factor: 10.435

Review 10.  Aptamers as Diagnostic Tools in Cancer.

Authors:  Dario Ruiz Ciancio; Mauricio R Vargas; William H Thiel; Martin A Bruno; Paloma H Giangrande; María Belén Mestre
Journal:  Pharmaceuticals (Basel)       Date:  2018-09-11
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