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Assessing gene expression variation in normal human tissues using GeneTag™, a novel, global, sensitive profiling method

Authors :
Wong, Lily Y.
Hafeman, Andrea
Boyd, Victoria L.
Bodeau, John
Lazaruk, Katherine D.
Liew, Sueh-Ning
Casey, Peter
Belonogoff, Victor
Bit, Somaya
Sumner, Craig
Bredo, Alisa
Ho, Norman
Chu, Erwin
Olson, Sheri
Rabkin, Steven
Maltchenko, Sergei
Spier, Gene
Gilbert, Dennis
Baumhueter, Susanne
Source :
Journal of Biotechnology. Mar2003, Vol. 101 Issue 3, p199. 19p.
Publication Year :
2003

Abstract

GeneTag™ is a novel expression profiling method that allows the visualization, quantification and identification of expressed genes—whether known or novel—in any species, tissue or cell type, independent of knowledge of the underlying sequence. Here we describe the application of this method to determine variation of gene expression in individual human liver samples and the identification of tissue-specific genes by comparing expression patterns across several human organs. Expression data are stored in a database for future reference and data analysis relies on proprietary software, which allows complex comparisons to be performed. Differentially expressed genes are quickly identified through a link to a sequence database. The results from our study underscore the importance of knowledge of individual variation of gene expression for the design and interpretation of transcript profiling experiments in the context of any biological question. [Copyright &y& Elsevier]

Subjects

Subjects :
*GENE expression
*TISSUES

Details

Language :
English
ISSN :
01681656
Volume :
101
Issue :
3
Database :
Academic Search Index
Journal :
Journal of Biotechnology
Publication Type :
Academic Journal
Accession number :
9191899
Full Text :
https://doi.org/10.1016/S0168-1656(02)00301-2