Literature DB >> 25160072

Introduction to RNA-Seq and its applications to drug discovery and development.

Zainab Khatoon1, Bryan Figler, Hui Zhang, Feng Cheng.   

Abstract

Preclinical Research RNA sequencing (RNA-Seq) is a novel high-throughput technology for comprehensive transcriptome study. It can measure the expression levels of thousands of genes simultaneously and provide insight into functional pathways and regulations in biological processes. In addition, RNA-Seq can provide copious information on alternative splicing, allele-specific expression, unannotated exons, and novel transcripts (gene or noncoding RNAs). This technology has revolutionized the way biologists examine transcriptomes and has been successfully applied in drug discovery and development, being able to identify drug-related genes, microRNAs, and fusion proteins. In this overview, we will review this technology including data analysis, and its recent applications in drug discovery and development.
© 2014 Wiley Periodicals, Inc.

Keywords:  RNA-Seq; drug resistance; fusion protein; miRNA; microarray; next-generation sequencing

Mesh:

Year:  2014        PMID: 25160072     DOI: 10.1002/ddr.21215

Source DB:  PubMed          Journal:  Drug Dev Res        ISSN: 0272-4391            Impact factor:   4.360


  19 in total

Review 1.  Advances in exploring the therapeutic potential of marine natural products.

Authors:  Xiao Liang; Danmeng Luo; Hendrik Luesch
Journal:  Pharmacol Res       Date:  2019-07-25       Impact factor: 7.658

2.  Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models.

Authors:  Rocco Sciarrillo; Anna Wojtuszkiewicz; Irsan E Kooi; Valentina E Gómez; Ugo Boggi; Gerrit Jansen; Gert-Jan Kaspers; Jacqueline Cloos; Elisa Giovannetti
Journal:  J Vis Exp       Date:  2016-12-09       Impact factor: 1.355

3.  Development of a Peptide Derived from Platelet-Derived Growth Factor (PDGF-BB) into a Potential Drug Candidate for the Treatment of Wounds.

Authors:  Milena Deptuła; Przemysław Karpowicz; Anna Wardowska; Piotr Sass; Paweł Sosnowski; Alina Mieczkowska; Natalia Filipowicz; Maria Dzierżyńska; Justyna Sawicka; Ewa Nowicka; Paulina Langa; Adriana Schumacher; Mirosława Cichorek; Jacek Zieliński; Karolina Kondej; Franciszek Kasprzykowski; Artur Czupryn; Łukasz Janus; Piotr Mucha; Piotr Skowron; Arkadiusz Piotrowski; Paweł Sachadyn; Sylwia Rodziewicz-Motowidło; Michał Pikuła
Journal:  Adv Wound Care (New Rochelle)       Date:  2019-10-29       Impact factor: 4.730

4.  Use of RNA-seq to identify cardiac genes and gene pathways differentially expressed between dogs with and without dilated cardiomyopathy.

Authors:  Steven G Friedenberg; Lhoucine Chdid; Bruce Keene; Barbara Sherry; Alison Motsinger-Reif; Kathryn M Meurs
Journal:  Am J Vet Res       Date:  2016-07       Impact factor: 1.156

5.  Management of Incidental Findings in the Era of Next-generation Sequencing.

Authors:  Heather L Blackburn; Bradley Schroeder; Clesson Turner; Craig D Shriver; Darrell L Ellsworth; Rachel E Ellsworth
Journal:  Curr Genomics       Date:  2015-06       Impact factor: 2.236

6.  Heterologous Biosynthesis of the Fungal Sesquiterpene Trichodermol in Saccharomyces cerevisiae.

Authors:  Jianghua Liu; Yanan Zhai; Yang Zhang; Shuaiming Zhu; Gang Liu; Yongsheng Che
Journal:  Front Microbiol       Date:  2018-08-06       Impact factor: 5.640

7.  MetaRNA-Seq: An Interactive Tool to Browse and Annotate Metadata from RNA-Seq Studies.

Authors:  Pankaj Kumar; Anna Halama; Shahina Hayat; Anja M Billing; Manish Gupta; Noha A Yousri; Gregory M Smith; Karsten Suhre
Journal:  Biomed Res Int       Date:  2015-08-25       Impact factor: 3.411

8.  Understanding microRNA-mediated gene regulatory networks through mathematical modelling.

Authors:  Xin Lai; Olaf Wolkenhauer; Julio Vera
Journal:  Nucleic Acids Res       Date:  2016-06-17       Impact factor: 16.971

9.  Evaluation of two main RNA-seq approaches for gene quantification in clinical RNA sequencing: polyA+ selection versus rRNA depletion.

Authors:  Shanrong Zhao; Ying Zhang; Ramya Gamini; Baohong Zhang; David von Schack
Journal:  Sci Rep       Date:  2018-03-19       Impact factor: 4.379

10.  VIPER: Visualization Pipeline for RNA-seq, a Snakemake workflow for efficient and complete RNA-seq analysis.

Authors:  MacIntosh Cornwell; Mahesh Vangala; Len Taing; Zachary Herbert; Johannes Köster; Bo Li; Hanfei Sun; Taiwen Li; Jian Zhang; Xintao Qiu; Matthew Pun; Rinath Jeselsohn; Myles Brown; X Shirley Liu; Henry W Long
Journal:  BMC Bioinformatics       Date:  2018-04-12       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.