Literature DB >> 25870306

RNA Sequencing and Analysis.

Kimberly R Kukurba1, Stephen B Montgomery2.   

Abstract

RNA sequencing (RNA-Seq) uses the capabilities of high-throughput sequencing methods to provide insight into the transcriptome of a cell. Compared to previous Sanger sequencing- and microarray-based methods, RNA-Seq provides far higher coverage and greater resolution of the dynamic nature of the transcriptome. Beyond quantifying gene expression, the data generated by RNA-Seq facilitate the discovery of novel transcripts, identification of alternatively spliced genes, and detection of allele-specific expression. Recent advances in the RNA-Seq workflow, from sample preparation to library construction to data analysis, have enabled researchers to further elucidate the functional complexity of the transcription. In addition to polyadenylated messenger RNA (mRNA) transcripts, RNA-Seq can be applied to investigate different populations of RNA, including total RNA, pre-mRNA, and noncoding RNA, such as microRNA and long ncRNA. This article provides an introduction to RNA-Seq methods, including applications, experimental design, and technical challenges.
© 2015 Cold Spring Harbor Laboratory Press.

Entities:  

Mesh:

Year:  2015        PMID: 25870306      PMCID: PMC4863231          DOI: 10.1101/pdb.top084970

Source DB:  PubMed          Journal:  Cold Spring Harb Protoc        ISSN: 1559-6095


  159 in total

1.  De novo assembly and analysis of RNA-seq data.

Authors:  Gordon Robertson; Jacqueline Schein; Readman Chiu; Richard Corbett; Matthew Field; Shaun D Jackman; Karen Mungall; Sam Lee; Hisanaga Mark Okada; Jenny Q Qian; Malachi Griffith; Anthony Raymond; Nina Thiessen; Timothee Cezard; Yaron S Butterfield; Richard Newsome; Simon K Chan; Rong She; Richard Varhol; Baljit Kamoh; Anna-Liisa Prabhu; Angela Tam; YongJun Zhao; Richard A Moore; Martin Hirst; Marco A Marra; Steven J M Jones; Pamela A Hoodless; Inanc Birol
Journal:  Nat Methods       Date:  2010-10-10       Impact factor: 28.547

2.  A powerful and flexible statistical framework for testing hypotheses of allele-specific gene expression from RNA-seq data.

Authors:  Daniel A Skelly; Marnie Johansson; Jennifer Madeoy; Jon Wakefield; Joshua M Akey
Journal:  Genome Res       Date:  2011-08-26       Impact factor: 9.043

3.  Quantification of microRNA expression with next-generation sequencing.

Authors:  Seda Eminaga; Danos C Christodoulou; Francois Vigneault; George M Church; J G Seidman
Journal:  Curr Protoc Mol Biol       Date:  2013-07

4.  Probabilistic analysis of gene expression measurements from heterogeneous tissues.

Authors:  Timo Erkkilä; Saara Lehmusvaara; Pekka Ruusuvuori; Tapio Visakorpi; Ilya Shmulevich; Harri Lähdesmäki
Journal:  Bioinformatics       Date:  2010-07-14       Impact factor: 6.937

Review 5.  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

6.  Patterns of cis regulatory variation in diverse human populations.

Authors:  Barbara E Stranger; Stephen B Montgomery; Antigone S Dimas; Leopold Parts; Oliver Stegle; Catherine E Ingle; Magda Sekowska; George Davey Smith; David Evans; Maria Gutierrez-Arcelus; Alkes Price; Towfique Raj; James Nisbett; Alexandra C Nica; Claude Beazley; Richard Durbin; Panos Deloukas; Emmanouil T Dermitzakis
Journal:  PLoS Genet       Date:  2012-04-19       Impact factor: 5.917

7.  Characterizing the genetic basis of transcriptome diversity through RNA-sequencing of 922 individuals.

Authors:  Alexis Battle; Sara Mostafavi; Xiaowei Zhu; James B Potash; Myrna M Weissman; Courtney McCormick; Christian D Haudenschild; Kenneth B Beckman; Jianxin Shi; Rui Mei; Alexander E Urban; Stephen B Montgomery; Douglas F Levinson; Daphne Koller
Journal:  Genome Res       Date:  2013-10-03       Impact factor: 9.043

8.  Effect of read-mapping biases on detecting allele-specific expression from RNA-sequencing data.

Authors:  Jacob F Degner; John C Marioni; Athma A Pai; Joseph K Pickrell; Everlyne Nkadori; Yoav Gilad; Jonathan K Pritchard
Journal:  Bioinformatics       Date:  2009-10-06       Impact factor: 6.937

9.  Mapping cis- and trans-regulatory effects across multiple tissues in twins.

Authors:  Elin Grundberg; Kerrin S Small; Åsa K Hedman; Alexandra C Nica; Alfonso Buil; Sarah Keildson; Jordana T Bell; Tsun-Po Yang; Eshwar Meduri; Amy Barrett; James Nisbett; Magdalena Sekowska; Alicja Wilk; So-Youn Shin; Daniel Glass; Mary Travers; Josine L Min; Sue Ring; Karen Ho; Gudmar Thorleifsson; Augustine Kong; Unnur Thorsteindottir; Chrysanthi Ainali; Antigone S Dimas; Neelam Hassanali; Catherine Ingle; David Knowles; Maria Krestyaninova; Christopher E Lowe; Paola Di Meglio; Stephen B Montgomery; Leopold Parts; Simon Potter; Gabriela Surdulescu; Loukia Tsaprouni; Sophia Tsoka; Veronique Bataille; Richard Durbin; Frank O Nestle; Stephen O'Rahilly; Nicole Soranzo; Cecilia M Lindgren; Krina T Zondervan; Kourosh R Ahmadi; Eric E Schadt; Kari Stefansson; George Davey Smith; Mark I McCarthy; Panos Deloukas; Emmanouil T Dermitzakis; Tim D Spector
Journal:  Nat Genet       Date:  2012-09-02       Impact factor: 38.330

10.  Assessment of transcript reconstruction methods for RNA-seq.

Authors:  Josep F Abril; Pär G Engström; Felix Kokocinski; Tamara Steijger; Tim J Hubbard; Roderic Guigó; Jennifer Harrow; Paul Bertone
Journal:  Nat Methods       Date:  2013-11-03       Impact factor: 28.547

View more
  165 in total

1.  Glycosylation of dentin matrix protein 1 is critical for fracture healing via promoting chondrogenesis.

Authors:  Hui Xue; Dike Tao; Yuteng Weng; Qiqi Fan; Shuang Zhou; Ruilin Zhang; Han Zhang; Rui Yue; Xiaogang Wang; Zuolin Wang; Yao Sun
Journal:  Front Med       Date:  2019-05-08       Impact factor: 4.592

2.  Meta-analysis of blood genome-wide expression profiling studies in pulmonary arterial hypertension.

Authors:  Jason M Elinoff; Adrien J Mazer; Rongman Cai; Mengyun Lu; Grace Graninger; Bonnie Harper; Gabriela A Ferreyra; Junfeng Sun; Michael A Solomon; Robert L Danner
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2019-10-16       Impact factor: 5.464

3.  Comparison of library construction kits for mRNA sequencing in the Illumina platform.

Authors:  Yong-Soo Park; Songmi Kim; Dong-Guk Park; Dong Hee Kim; Kyeong-Wook Yoon; Wonseok Shin; Kyudong Han
Journal:  Genes Genomics       Date:  2019-07-26       Impact factor: 1.839

4.  MiR-5571-3p and miR-135b-5p, derived from analyses of microRNA profile sequencing, correlate with increased disease risk and activity of rheumatoid arthritis.

Authors:  Cailong Liu; Axiao Pan; Xiaowei Chen; Jianxin Tu; Xiaoru Xia; Li Sun
Journal:  Clin Rheumatol       Date:  2019-02-01       Impact factor: 2.980

Review 5.  When one becomes many-Alternative splicing in β-cell function and failure.

Authors:  Maria Inês Alvelos; Jonàs Juan-Mateu; Maikel Luis Colli; Jean-Valéry Turatsinze; Décio L Eizirik
Journal:  Diabetes Obes Metab       Date:  2018-09       Impact factor: 6.577

6.  De novo clustering of long reads by gene from transcriptomics data.

Authors:  Camille Marchet; Lolita Lecompte; Corinne Da Silva; Corinne Cruaud; Jean-Marc Aury; Jacques Nicolas; Pierre Peterlongo
Journal:  Nucleic Acids Res       Date:  2019-01-10       Impact factor: 16.971

7.  High-throughput Minitaturized RNA-Seq Library Preparation.

Authors:  Samuel Mildrum; Austin Hendricks; Alexei Stortchevoi; Noelani Kamelamela; Vincent L Butty; Stuart S Levine
Journal:  J Biomol Tech       Date:  2020-12

8.  A review of digital cytometry methods: estimating the relative abundance of cell types in a bulk of cells.

Authors:  Trang Le; Rachel A Aronow; Arkadz Kirshtein; Leili Shahriyari
Journal:  Brief Bioinform       Date:  2021-07-20       Impact factor: 11.622

9.  Analysis of Staphylococcus aureus Transcriptome in Pediatric Soft Tissue Abscesses and Comparison to Murine Infections.

Authors:  C Stamoulis; R Malley; K Moffitt; E Cheung; T Yeung
Journal:  Infect Immun       Date:  2021-03-17       Impact factor: 3.441

Review 10.  Methods for the analysis of transcriptome dynamics.

Authors:  Daniela F Rodrigues; Vera M Costa; Ricardo Silvestre; Maria L Bastos; Félix Carvalho
Journal:  Toxicol Res (Camb)       Date:  2019-07-26       Impact factor: 3.524

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.