Literature DB >> 18611171

Development of a DNA barcode tagging method for monitoring dynamic changes in gene expression by using an ultra high-throughput sequencer.

Norihiro Maeda1, Hiromi Nishiyori, Mari Nakamura, Chika Kawazu, Mitsuyoshi Murata, Hiromi Sano, Kengo Hayashida, Shiro Fukuda, Michihira Tagami, Akira Hasegawa, Kayoko Murakami, Kate Schroder, Katharine Irvine, David Hume, Yoshihide Hayashizaki, Piero Carninci, Harukazu Suzuki.   

Abstract

CAGE (cap analysis of gene expression) is a method for identifying transcription start sites by sequencing the first 20 or 21 nucleotides from the 5' end of capped transcripts, allowing genome-wide promoter analyses to be performed. The potential of the CAGE as a form of expression profiling was limited previously by sequencing technology and the labor-intensive protocol. Here we describe an improved CAGE method for use with a next generation sequencer. This modified method allows the identification of the RNA source of each CAGE tag within a pooled library by introducing DNA tags (barcodes). The method not only drastically improves the sequencing capacity, but also contributes to savings in both time and budget. Additionally, this pooled CAGE tag method enables the dynamic changes in promoter usage and gene expression to be monitored.

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Year:  2008        PMID: 18611171     DOI: 10.2144/000112814

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  14 in total

1.  Discovery of mutations in Saccharomyces cerevisiae by pooled linkage analysis and whole-genome sequencing.

Authors:  Shanda R Birkeland; Natsuko Jin; Alev Cagla Ozdemir; Robert H Lyons; Lois S Weisman; Thomas E Wilson
Journal:  Genetics       Date:  2010-10-05       Impact factor: 4.562

2.  CAGE (cap analysis of gene expression): a protocol for the detection of promoter and transcriptional networks.

Authors:  Hazuki Takahashi; Sachi Kato; Mitsuyoshi Murata; Piero Carninci
Journal:  Methods Mol Biol       Date:  2012

3.  Comparison of the Illumina Genome Analyzer and Roche 454 GS FLX for resequencing of hypertrophic cardiomyopathy-associated genes.

Authors:  Shale Dames; Jacob Durtschi; Katherine Geiersbach; Jack Stephens; Karl V Voelkerding
Journal:  J Biomol Tech       Date:  2010-07

4.  Our evolving knowledge of the transcriptional landscape.

Authors:  David A Hume
Journal:  Mamm Genome       Date:  2008-09-20       Impact factor: 2.957

5.  5' end-centered expression profiling using cap-analysis gene expression and next-generation sequencing.

Authors:  Hazuki Takahashi; Timo Lassmann; Mitsuyoshi Murata; Piero Carninci
Journal:  Nat Protoc       Date:  2012-02-23       Impact factor: 13.491

6.  Linking promoters to functional transcripts in small samples with nanoCAGE and CAGEscan.

Authors:  Charles Plessy; Nicolas Bertin; Hazuki Takahashi; Roberto Simone; Md Salimullah; Timo Lassmann; Morana Vitezic; Jessica Severin; Signe Olivarius; Dejan Lazarevic; Nadine Hornig; Valerio Orlando; Ian Bell; Hui Gao; Jacqueline Dumais; Philipp Kapranov; Huaien Wang; Carrie A Davis; Thomas R Gingeras; Jun Kawai; Carsten O Daub; Yoshihide Hayashizaki; Stefano Gustincich; Piero Carninci
Journal:  Nat Methods       Date:  2010-06-13       Impact factor: 28.547

7.  Conservation and divergence in Toll-like receptor 4-regulated gene expression in primary human versus mouse macrophages.

Authors:  Kate Schroder; Katharine M Irvine; Martin S Taylor; Nilesh J Bokil; Kim-Anh Le Cao; Kelly-Anne Masterman; Larisa I Labzin; Colin A Semple; Ronan Kapetanovic; Lynsey Fairbairn; Altuna Akalin; Geoffrey J Faulkner; John Kenneth Baillie; Milena Gongora; Carsten O Daub; Hideya Kawaji; Geoffrey J McLachlan; Nick Goldman; Sean M Grimmond; Piero Carninci; Harukazu Suzuki; Yoshihide Hayashizaki; Boris Lenhard; David A Hume; Matthew J Sweet
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-26       Impact factor: 11.205

8.  Measuring differential gene expression by short read sequencing: quantitative comparison to 2-channel gene expression microarrays.

Authors:  Joshua S Bloom; Zia Khan; Leonid Kruglyak; Mona Singh; Amy A Caudy
Journal:  BMC Genomics       Date:  2009-05-12       Impact factor: 3.969

9.  SDRF2GRAPH: a visualization tool of a spreadsheet-based description of experimental processes.

Authors:  Hideya Kawaji; Yoshihide Hayashizaki; Carsten O Daub
Journal:  BMC Bioinformatics       Date:  2009-05-07       Impact factor: 3.169

10.  Methods for analyzing deep sequencing expression data: constructing the human and mouse promoterome with deepCAGE data.

Authors:  Piotr J Balwierz; Piero Carninci; Carsten O Daub; Jun Kawai; Yoshihide Hayashizaki; Werner Van Belle; Christian Beisel; Erik van Nimwegen
Journal:  Genome Biol       Date:  2009-07-22       Impact factor: 13.583

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