Literature DB >> 21889483

Local and global factors affecting RNA sequencing analysis.

Edward Sendler1, Graham D Johnson, Stephen A Krawetz.   

Abstract

High-throughput RNA sequencing (RNA-seq) continues to provide unparalleled insight into transcriptome complexity. Now the "gold standard" for assessing global transcript levels, RNA-seq is poised to revolutionize our understanding of transcription and posttranscriptional regulation of RNA. Despite significant advantages over prior experimental strategies, RNA-seq is not without pitfalls. We have identified a number of confounding factors that significantly affect sequencing coverage. These include regional GC content, preferential sites of fragmentation, and read "pile-up" due to primer affinity and transcript end effects. Independent of cell type and laboratory, when ignored, these factors can bias analyses. Understanding the underlying principles responsible for producing these artifacts is key to recognizing both their presence and how their effects may be controlled. Here we outline the causes of and strategies to avoid several previously unreported complicating factors common to RNA-seq experiments.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21889483     DOI: 10.1016/j.ab.2011.08.013

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  22 in total

Review 1.  RNA-Seq and human complex diseases: recent accomplishments and future perspectives.

Authors:  Valerio Costa; Marianna Aprile; Roberta Esposito; Alfredo Ciccodicola
Journal:  Eur J Hum Genet       Date:  2012-06-27       Impact factor: 4.246

2.  mRNA-Seq reveals complex patterns of gene regulation and expression in the mouse skeletal muscle transcriptome associated with calorie restriction.

Authors:  Joseph M Dhahbi; Hani Atamna; Dario Boffelli; David I K Martin; Stephen R Spindler
Journal:  Physiol Genomics       Date:  2012-01-24       Impact factor: 3.107

3.  Analysis and design of RNA sequencing experiments for identifying RNA editing and other single-nucleotide variants.

Authors:  Jae-Hyung Lee; Jason K Ang; Xinshu Xiao
Journal:  RNA       Date:  2013-04-18       Impact factor: 4.942

4.  Dual analysis of the murine cytomegalovirus and host cell transcriptomes reveal new aspects of the virus-host cell interface.

Authors:  Vanda Juranic Lisnic; Marina Babic Cac; Berislav Lisnic; Tihana Trsan; Adam Mefferd; Chitrangada Das Mukhopadhyay; Charles H Cook; Stipan Jonjic; Joanne Trgovcich
Journal:  PLoS Pathog       Date:  2013-09-26       Impact factor: 6.823

5.  A comparison of sperm RNA-seq methods.

Authors:  Shihong Mao; Edward Sendler; Robert J Goodrich; Russ Hauser; Stephen A Krawetz
Journal:  Syst Biol Reprod Med       Date:  2014-07-31       Impact factor: 3.061

6.  The roles of 3'-exoribonucleases and the exosome in trypanosome mRNA degradation.

Authors:  Abeer Fadda; Valentin Färber; Dorothea Droll; Christine Clayton
Journal:  RNA       Date:  2013-05-22       Impact factor: 4.942

Review 7.  Hypothesis: Artifacts, Including Spurious Chimeric RNAs with a Short Homologous Sequence, Caused by Consecutive Reverse Transcriptions and Endogenous Random Primers.

Authors:  Zhiyu Peng; Chengfu Yuan; Lucas Zellmer; Siqi Liu; Ningzhi Xu; D Joshua Liao
Journal:  J Cancer       Date:  2015-05-01       Impact factor: 4.207

8.  Evidence classification of high-throughput protocols and confidence integration in RegulonDB.

Authors:  Verena Weiss; Alejandra Medina-Rivera; Araceli M Huerta; Alberto Santos-Zavaleta; Heladia Salgado; Enrique Morett; Julio Collado-Vides
Journal:  Database (Oxford)       Date:  2013-01-17       Impact factor: 3.451

9.  RNA deep sequencing reveals novel candidate genes and polymorphisms in boar testis and liver tissues with divergent androstenone levels.

Authors:  Asep Gunawan; Sudeep Sahadevan; Christiane Neuhoff; Christine Große-Brinkhaus; Ahmed Gad; Luc Frieden; Dawit Tesfaye; Ernst Tholen; Christian Looft; Muhammad Jasim Uddin; Karl Schellander; Mehmet Ulas Cinar
Journal:  PLoS One       Date:  2013-05-16       Impact factor: 3.240

10.  Efficient experimental design and analysis strategies for the detection of differential expression using RNA-Sequencing.

Authors:  José A Robles; Sumaira E Qureshi; Stuart J Stephen; Susan R Wilson; Conrad J Burden; Jennifer M Taylor
Journal:  BMC Genomics       Date:  2012-09-17       Impact factor: 3.969

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