Literature DB >> 21191423

RNA sequencing: advances, challenges and opportunities.

Fatih Ozsolak1, Patrice M Milos.   

Abstract

In the few years since its initial application, massively parallel cDNA sequencing, or RNA-seq, has allowed many advances in the characterization and quantification of transcriptomes. Recently, several developments in RNA-seq methods have provided an even more complete characterization of RNA transcripts. These developments include improvements in transcription start site mapping, strand-specific measurements, gene fusion detection, small RNA characterization and detection of alternative splicing events. Ongoing developments promise further advances in the application of RNA-seq, particularly direct RNA sequencing and approaches that allow RNA quantification from very small amounts of cellular materials.

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Year:  2010        PMID: 21191423      PMCID: PMC3031867          DOI: 10.1038/nrg2934

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  104 in total

1.  Chromatin structure analyses identify miRNA promoters.

Authors:  Fatih Ozsolak; Laura L Poling; Zhengxin Wang; Hui Liu; X Shirley Liu; Robert G Roeder; Xinmin Zhang; Jun S Song; David E Fisher
Journal:  Genes Dev       Date:  2008-11-15       Impact factor: 11.361

2.  Characterizing the mouse ES cell transcriptome with Illumina sequencing.

Authors:  Ruben Rosenkranz; Tatiana Borodina; Hans Lehrach; Heinz Himmelbauer
Journal:  Genomics       Date:  2008-08-03       Impact factor: 5.736

3.  Fixing the front end.

Authors:  Ken Garber
Journal:  Nat Biotechnol       Date:  2008-10       Impact factor: 54.908

4.  A global view of gene activity and alternative splicing by deep sequencing of the human transcriptome.

Authors:  Marc Sultan; Marcel H Schulz; Hugues Richard; Alon Magen; Andreas Klingenhoff; Matthias Scherf; Martin Seifert; Tatjana Borodina; Aleksey Soldatov; Dmitri Parkhomchuk; Dominic Schmidt; Sean O'Keeffe; Stefan Haas; Martin Vingron; Hans Lehrach; Marie-Laure Yaspo
Journal:  Science       Date:  2008-07-03       Impact factor: 47.728

5.  The antisense transcriptomes of human cells.

Authors:  Yiping He; Bert Vogelstein; Victor E Velculescu; Nickolas Papadopoulos; Kenneth W Kinzler
Journal:  Science       Date:  2008-12-04       Impact factor: 47.728

6.  Connecting microRNA genes to the core transcriptional regulatory circuitry of embryonic stem cells.

Authors:  Alexander Marson; Stuart S Levine; Megan F Cole; Garrett M Frampton; Tobias Brambrink; Sarah Johnstone; Matthew G Guenther; Wendy K Johnston; Marius Wernig; Jamie Newman; J Mauro Calabrese; Lucas M Dennis; Thomas L Volkert; Sumeet Gupta; Jennifer Love; Nancy Hannett; Phillip A Sharp; David P Bartel; Rudolf Jaenisch; Richard A Young
Journal:  Cell       Date:  2008-08-08       Impact factor: 41.582

Review 7.  RNA-Seq: a revolutionary tool for transcriptomics.

Authors:  Zhong Wang; Mark Gerstein; Michael Snyder
Journal:  Nat Rev Genet       Date:  2009-01       Impact factor: 53.242

8.  A neoplastic gene fusion mimics trans-splicing of RNAs in normal human cells.

Authors:  Hui Li; Jinglan Wang; Gil Mor; Jeffrey Sklar
Journal:  Science       Date:  2008-09-05       Impact factor: 47.728

9.  Alternative isoform regulation in human tissue transcriptomes.

Authors:  Eric T Wang; Rickard Sandberg; Shujun Luo; Irina Khrebtukova; Lu Zhang; Christine Mayr; Stephen F Kingsmore; Gary P Schroth; Christopher B Burge
Journal:  Nature       Date:  2008-11-27       Impact factor: 49.962

10.  Substantial biases in ultra-short read data sets from high-throughput DNA sequencing.

Authors:  Juliane C Dohm; Claudio Lottaz; Tatiana Borodina; Heinz Himmelbauer
Journal:  Nucleic Acids Res       Date:  2008-07-26       Impact factor: 16.971

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  754 in total

1.  Single-tube linear DNA amplification for genome-wide studies using a few thousand cells.

Authors:  Pattabhiraman Shankaranarayanan; Marco-Antonio Mendoza-Parra; Wouter van Gool; Luisa M Trindade; Hinrich Gronemeyer
Journal:  Nat Protoc       Date:  2012-01-26       Impact factor: 13.491

Review 2.  Identification of aberrant pathways and network activities from high-throughput data.

Authors:  Jinlian Wang; Yuji Zhang; Catalin Marian; Habtom W Ressom
Journal:  Brief Bioinform       Date:  2012-01-27       Impact factor: 11.622

3.  New technologies for 21st century plant science.

Authors:  David W Ehrhardt; Wolf B Frommer
Journal:  Plant Cell       Date:  2012-02-24       Impact factor: 11.277

Review 4.  Genomic basis for light control of plant development.

Authors:  Jigang Li; William Terzaghi; Xing Wang Deng
Journal:  Protein Cell       Date:  2012-03-17       Impact factor: 14.870

Review 5.  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

6.  The possibility of de novo assembly of the genome and population genomics of the mangrove rivulus, Kryptolebias marmoratus.

Authors:  Joanna L Kelley; Muh-Ching Yee; Clarence Lee; Elizabeth Levandowsky; Minita Shah; Timothy Harkins; Ryan L Earley; Carlos D Bustamante
Journal:  Integr Comp Biol       Date:  2012-06-21       Impact factor: 3.326

7.  FUS regulates genes coding for RNA-binding proteins in neurons by binding to their highly conserved introns.

Authors:  Tadashi Nakaya; Panagiotis Alexiou; Manolis Maragkakis; Alexandra Chang; Zissimos Mourelatos
Journal:  RNA       Date:  2013-02-06       Impact factor: 4.942

8.  Downregulation of the acetyl-CoA metabolic network in adipose tissue of obese diabetic individuals and recovery after weight loss.

Authors:  Harish Dharuri; Peter A C 't Hoen; Jan B van Klinken; Peter Henneman; Jeroen F J Laros; Mirjam A Lips; Fatiha El Bouazzaoui; Gert-Jan B van Ommen; Ignace Janssen; Bert van Ramshorst; Bert A van Wagensveld; Hanno Pijl; Ko Willems van Dijk; Vanessa van Harmelen
Journal:  Diabetologia       Date:  2014-08-07       Impact factor: 10.122

9.  Transcriptome-wide RNA sequencing analysis of rat skeletal muscle feed arteries. I. Impact of obesity.

Authors:  Nathan T Jenkins; Jaume Padilla; Pamela K Thorne; Jeffrey S Martin; R Scott Rector; J Wade Davis; M Harold Laughlin
Journal:  J Appl Physiol (1985)       Date:  2014-01-16

10.  cDNA hybrid capture improves transcriptome analysis on low-input and archived samples.

Authors:  Christopher R Cabanski; Vincent Magrini; Malachi Griffith; Obi L Griffith; Sean McGrath; Jin Zhang; Jason Walker; Amy Ly; Ryan Demeter; Robert S Fulton; Winnie W Pong; David H Gutmann; Ramaswamy Govindan; Elaine R Mardis; Christopher A Maher
Journal:  J Mol Diagn       Date:  2014-05-09       Impact factor: 5.568

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