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Serial analysis of gene expression (SAGE): unraveling the bioinformatics tools
Author(s) -
Tuteja Renu,
Tuteja Narendra
Publication year - 2004
Publication title -
bioessays
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.175
H-Index - 184
eISSN - 1521-1878
pISSN - 0265-9247
DOI - 10.1002/bies.20070
Subject(s) - serial analysis of gene expression , sage , gene , computational biology , biology , gene expression profiling , gene expression , sequence analysis , genetics , bioinformatics , physics , nuclear physics
Serial analysis of gene expression (SAGE) is a powerful technique that can be used for global analysis of gene expression. Its chief advantage over other methods is that it does not require prior knowledge of the genes of interest and provides qualitative and quantitative data of potentially every transcribed sequence in a particular cell or tissue type. This is a technique of expression profiling, which permits simultaneous, comparative and quantitative analysis of gene‐specific, 9‐ to 13‐basepair sequences. These short sequences, called SAGE tags, are linked together for efficient sequencing. The sequencing data are then analyzed to identify each gene expressed in the cell and the levels at which each gene is expressed. The main benefit of SAGE includes the digital output and the identification of novel genes. In this review, we present an outline of the method, various bioinformatics methods for data analysis and general applications of this important technology. BioEssays 26:916–922, 2004. © 2004 Wiley Periodicals, Inc.