High-throughput SuperSAGE for digital gene expression analysis of multiple samples using next generation sequencing

We established a protocol of the SuperSAGE technology combined with next-generation sequencing, coined “High-Throughput (HT-) SuperSAGE”. SuperSAGE is a method of digital gene expression profiling that allows isolation o
We established a protocol of the SuperSAGE technology combined with next-generation sequencing, coined “High-Throughput (HT-) SuperSAGE”. SuperSAGE is a method of digital gene expression profiling that allows isolation of 26-bp tag fragments from expressed transcripts. In the present protocol, index (barcode) sequences are employed to discriminate tags from different samples. Such barcodes allow researchers to analyze digital tags from transcriptomes of many samples in a single sequencing run by simply pooling the libraries. Here, we demonstrated that HT-SuperSAGE provided highly sensitive, reproducible and accurate digital gene expression data. By increasing throughput for analysis in HT-SuperSAGE, various applications are foreseen and several examples are provided in the present study, including analyses of laser-microdissected cells, biological replicates and tag extraction using different anchoring enzymes.
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Author:Hideo Matsumura, Kentaro Yoshida, Shujun Luo, Eiji Kimura, Takahiro Fujibe, Zayed Albertyn, Roberto A. Barrero, Detlev H. Krüger, Günter Kahl, Gary P. Schroth, Ryohei Terauchi
URN:urn:nbn:de:hebis:30-114660
DOI:http://dx.doi.org/10.1371/journal.pone.0012010
Parent Title (English):PLoS one
Document Type:Article
Language:English
Date of Publication (online):2011/09/06
Year of first Publication:2010
Publishing Institution:Univ.-Bibliothek Frankfurt am Main
Release Date:2011/09/06
Note:
Copyright: © 2010 Matsumura et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Source:PLoS ONE 5(8): e12010. doi: 10.1371/journal.pone.0012010
HeBIS PPN:27603970X
Institutes:Biowissenschaften
Dewey Decimal Classification:570 Biowissenschaften; Biologie
Sammlungen:Universitätspublikationen
Sondersammelgebiets-Volltexte
Licence (German):License LogoCreative Commons - Namensnennung 3.0

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