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PMID: 18611171 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

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

BioTechniques ·Vol. 45 ·No. 1 ·2008-07-00 ·Pages 95-7

Maeda N, Nishiyori H, Nakamura M, Kawazu C, Murata M, Sano H, Hayashida K, Fukuda S, Tagami M, Hasegawa A, Murakami K, Schroder K, Irvine K, Hume D, Hayashizaki Y, Carninci P, Suzuki H

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.

MeSH Terms
Expressed Sequence Tags Gene Expression Profiling Promoter Regions, Genetic Reverse Transcriptase Polymerase Chain Reaction Sequence Analysis, DNA/instrumentation Transcription Initiation Site
Authors & Affiliations
17 authors, click to expand affiliations / ORCID
Maeda Norihiro
Advanced Science Institute, RIKEN Wako Main Campus, Saitama, Japan.
Nishiyori Hiromi
Nakamura Mari
Kawazu Chika
Murata Mitsuyoshi
Sano Hiromi
Hayashida Kengo
Fukuda Shiro
Tagami Michihira
Hasegawa Akira
Murakami Kayoko
Schroder Kate
Irvine Katharine
Hume David
Hayashizaki Yoshihide
Carninci Piero
Suzuki Harukazu
Article Info
Journal
BioTechniques
Abbr.
Biotechniques
ISSN
0736-6205
Published
2008-07-00
Pages
95-7
Language
English
Region
England
NLM ID
8306785
Subset
IM
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