Literature DB >> 20069539

RNA-Seq: a method for comprehensive transcriptome analysis.

Ugrappa Nagalakshmi1, Karl Waern, Michael Snyder.   

Abstract

A recently developed technique called RNA Sequencing (RNA-Seq) uses massively parallel sequencing to allow transcriptome analyses of genomes at a far higher resolution than is available with Sanger sequencing- and microarray-based methods. In the RNA-Seq method, complementary DNAs (cDNAs) generated from the RNA of interest are directly sequenced using next-generation sequencing technologies. The reads obtained from this can then be aligned to a reference genome in order to construct a whole-genome transcriptome map. RNA-Seq has been used successfully to precisely quantify transcript levels, confirm or revise previously annotated 5' and 3' ends of genes, and map exon/intron boundaries. This unit describes protocols for performing RNA-Seq using the Illumina sequencing platform.

Mesh:

Substances:

Year:  2010        PMID: 20069539     DOI: 10.1002/0471142727.mb0411s89

Source DB:  PubMed          Journal:  Curr Protoc Mol Biol        ISSN: 1934-3647


  104 in total

1.  Multi-platform assessment of transcriptome profiling using RNA-seq in the ABRF next-generation sequencing study.

Authors:  Sheng Li; Scott W Tighe; Charles M Nicolet; Deborah Grove; Shawn Levy; William Farmerie; Agnes Viale; Chris Wright; Peter A Schweitzer; Yuan Gao; Dewey Kim; Joe Boland; Belynda Hicks; Ryan Kim; Sagar Chhangawala; Nadereh Jafari; Nalini Raghavachari; Jorge Gandara; Natàlia Garcia-Reyero; Cynthia Hendrickson; David Roberson; Jeffrey Rosenfeld; Todd Smith; Jason G Underwood; May Wang; Paul Zumbo; Don A Baldwin; George S Grills; Christopher E Mason
Journal:  Nat Biotechnol       Date:  2014-08-24       Impact factor: 54.908

2.  Identification of novel gene signatures in patients with atopic dermatitis complicated by eczema herpeticum.

Authors:  Lianghua Bin; Michael G Edwards; Ryan Heiser; Joanne E Streib; Brittany Richers; Clifton F Hall; Donald Y M Leung
Journal:  J Allergy Clin Immunol       Date:  2014-08-23       Impact factor: 10.793

3.  Harnessing Next Generation Sequencing in Climate Change: RNA-Seq Analysis of Heat Stress-Responsive Genes in Wheat (Triticum aestivum L.).

Authors:  Ranjeet R Kumar; Suneha Goswami; Sushil K Sharma; Yugal K Kala; Gyanendra K Rai; Dwijesh C Mishra; Monendra Grover; Gyanendra P Singh; Himanshu Pathak; Anil Rai; Viswanathan Chinnusamy; Raj D Rai
Journal:  OMICS       Date:  2015-09-25

4.  Bayesian Hierarchical Varying-sparsity Regression Models with Application to Cancer Proteogenomics.

Authors:  Yang Ni; Francesco C Stingo; Min Jin Ha; Rehan Akbani; Veerabhadran Baladandayuthapani
Journal:  J Am Stat Assoc       Date:  2018-08-15       Impact factor: 5.033

5.  Homoeolog expression bias and expression level dominance in allopolyploid cotton.

Authors:  M-J Yoo; E Szadkowski; J F Wendel
Journal:  Heredity (Edinb)       Date:  2012-11-21       Impact factor: 3.821

6.  Next-generation sequencing identifies TGF-β1-associated gene expression profiles in renal epithelial cells reiterated in human diabetic nephropathy.

Authors:  Eoin P Brennan; Melissa J Morine; David W Walsh; Sarah A Roxburgh; Maja T Lindenmeyer; Derek P Brazil; Peadar Ó Gaora; Helen M Roche; Denise M Sadlier; Clemens D Cohen; Catherine Godson; Finian Martin
Journal:  Biochim Biophys Acta       Date:  2012-01-14

Review 7.  The potential of transcription factor-based genetic engineering in improving crop tolerance to drought.

Authors:  Roel C Rabara; Prateek Tripathi; Paul J Rushton
Journal:  OMICS       Date:  2014-08-13

8.  RNA polymerases IV and V influence the 3' boundaries of Polymerase II transcription units in Arabidopsis.

Authors:  Anastasia McKinlay; Ram Podicheti; Jered M Wendte; Ross Cocklin; Douglas B Rusch
Journal:  RNA Biol       Date:  2017-12-21       Impact factor: 4.652

Review 9.  Quantitative analysis of 5HT(2C) receptor RNA editing patterns in psychiatric disorders.

Authors:  Richard T O'Neil; Ronald B Emeson
Journal:  Neurobiol Dis       Date:  2011-09-03       Impact factor: 5.996

10.  Global transcriptome analysis of hexavalent chromium stress responses in Staphylococcus aureus LZ-01.

Authors:  Xiaowei Zhang; Wenyang Wu; Nolan Virgo; Luming Zou; Pu Liu; Xiangkai Li
Journal:  Ecotoxicology       Date:  2014-08-03       Impact factor: 2.823

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.