Literature DB >> 21943893

A strand-specific library preparation protocol for RNA sequencing.

Tatiana Borodina1, James Adjaye, Marc Sultan.   

Abstract

The analysis of transcriptome, which was over the past decade based mostly on microarray technologies, is now being superseded by so-called next generation sequencing (NGS) systems that changed the way to explore entire transcriptome. RNA sequencing (RNA-Seq), one application of NGS, is a powerful tool, providing information not only about the expression level of genes but also further about the structure of transcripts as it enables to unequivocally identify splicing events, RNA editing products, and mutations in expressed coding sequences within a single experiment. Herein, we describe step by step the deoxy-UTP (dUTP) strand-marking protocol [Parkhomchuk, D., Borodina, T., Amstislavskiy, V., Banaru, M., Hallen, L., Krobitsch, S., Lehrach, H., Soldatov, A. (2009). Transcriptome analysis by strand-specific sequencing of complementary DNA. Nucleic Acids Res.37(18), e123], which has been recently reviewed as the leading protocol for strand-specific RNA-Seq library preparation [Levin, J. Z., Yassour, M., Adiconis, X., Nusbaum, C., Thompson, D. A., Friedman, N., Gnirke, A., Regev, A. (2009). Comprehensive comparative analysis of strand-specific RNA sequencing methods. Nat. Methods7(9), 709-715]. The procedure starts with the isolation of the polyA fraction (mRNA) within a pool of total RNA, followed by its fragmentation. Then double-stranded (ds) cDNA synthesis is performed with the incorporation of dUTP in the second strand. The ds cDNA fragments are further processed following a standard sequencing library preparation scheme tailored for the Illumina sequencing platform: end polishing, A-tailing, adapter ligation, and size selection. Prior to final amplification, the dUTP-marked strand is selectively degraded by Uracil-DNA-Glycosylase (UDG). The remaining strand is amplified to generate a cDNA library suitable for sequencing.
Copyright © 2011 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21943893     DOI: 10.1016/B978-0-12-385118-5.00005-0

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  45 in total

1.  Global discovery of erythroid long noncoding RNAs reveals novel regulators of red cell maturation.

Authors:  Juan R Alvarez-Dominguez; Wenqian Hu; Bingbing Yuan; Jiahai Shi; Staphany S Park; Austin A Gromatzky; Alexander van Oudenaarden; Harvey F Lodish
Journal:  Blood       Date:  2013-11-07       Impact factor: 22.113

Review 2.  Dual RNA-seq of pathogen and host.

Authors:  Alexander J Westermann; Stanislaw A Gorski; Jörg Vogel
Journal:  Nat Rev Microbiol       Date:  2012-09       Impact factor: 60.633

3.  Widespread and dynamic translational control of red blood cell development.

Authors:  Juan R Alvarez-Dominguez; Xu Zhang; Wenqian Hu
Journal:  Blood       Date:  2016-11-29       Impact factor: 22.113

4.  Microscopy with ultraviolet surface excitation for rapid slide-free histology.

Authors:  Farzad Fereidouni; Zachary T Harmany; Miao Tian; Austin Todd; John A Kintner; John D McPherson; Alexander D Borowsky; Mirna Lechpammer; John Bishop; Stavros G Demos; Richard Levenson
Journal:  Nat Biomed Eng       Date:  2017-12-04       Impact factor: 25.671

5.  Identification of key genes fluctuated induced by avian leukemia virus (ALV-J) infection in chicken cells.

Authors:  Guohong Chen; Zhiteng Li; Shuai Su; Guobin Chang; Lingling Qiu; Pengfei Zhu; Yang Zhang; Qi Xu
Journal:  In Vitro Cell Dev Biol Anim       Date:  2017-12-01       Impact factor: 2.416

Review 6.  The Antisense Transcriptome and the Human Brain.

Authors:  James D Mills; Bei Jun Chen; Uwe Ueberham; Thomas Arendt; Michael Janitz
Journal:  J Mol Neurosci       Date:  2015-12-23       Impact factor: 3.444

Review 7.  RNA-Seq methods for transcriptome analysis.

Authors:  Radmila Hrdlickova; Masoud Toloue; Bin Tian
Journal:  Wiley Interdiscip Rev RNA       Date:  2016-05-19       Impact factor: 9.957

8.  The long non-coding RNA expression profile of Coxsackievirus A16 infected RD cells identified by RNA-seq.

Authors:  Yingying Shi; Huilin Tu; Xiong Chen; Yingying Zhang; Liujun Chen; Zhongchun Liu; Jiqun Sheng; Song Han; Jun Yin; Biwen Peng; Xiaohua He; Wanhong Liu
Journal:  Virol Sin       Date:  2016-03-31       Impact factor: 4.327

9.  Active medulloblastoma enhancers reveal subgroup-specific cellular origins.

Authors:  Charles Y Lin; Serap Erkek; Yiai Tong; Linlin Yin; Alexander J Federation; Marc Zapatka; Parthiv Haldipur; Daisuke Kawauchi; Thomas Risch; Hans-Jörg Warnatz; Barbara C Worst; Bensheng Ju; Brent A Orr; Rhamy Zeid; Donald R Polaski; Maia Segura-Wang; Sebastian M Waszak; David T W Jones; Marcel Kool; Volker Hovestadt; Ivo Buchhalter; Laura Sieber; Pascal Johann; Lukas Chavez; Stefan Gröschel; Marina Ryzhova; Andrey Korshunov; Wenbiao Chen; Victor V Chizhikov; Kathleen J Millen; Vyacheslav Amstislavskiy; Hans Lehrach; Marie-Laure Yaspo; Roland Eils; Peter Lichter; Jan O Korbel; Stefan M Pfister; James E Bradner; Paul A Northcott
Journal:  Nature       Date:  2016-01-27       Impact factor: 49.962

10.  De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis.

Authors:  Brian J Haas; Alexie Papanicolaou; Moran Yassour; Manfred Grabherr; Philip D Blood; Joshua Bowden; Matthew Brian Couger; David Eccles; Bo Li; Matthias Lieber; Matthew D MacManes; Michael Ott; Joshua Orvis; Nathalie Pochet; Francesco Strozzi; Nathan Weeks; Rick Westerman; Thomas William; Colin N Dewey; Robert Henschel; Richard D LeDuc; Nir Friedman; Aviv Regev
Journal:  Nat Protoc       Date:  2013-07-11       Impact factor: 13.491

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.