Understanding SAGE data

San Ming Wang

Research output: Contribution to journalReview article

61 Citations (Scopus)

Abstract

Serial analysis of gene expression (SAGE) is a method for identifying and quantifying transcripts from eukaryotic genomes. Since its invention, SAGE has been widely applied to analyzing gene expression in many biological and medical studies. Vast amounts of SAGE data have been collected and more than a thousand SAGE-related studies have been published since the mid-1990s. The principle of SAGE has been developed to address specific issues such as determination of normal gene structure and identification of abnormal genome structural changes. This review focuses on the general features of SAGE data, including the specificity of SAGE tags with respect to their original transcripts, the quantitative nature of SAGE data for differentially expressed genes, the reproducibility, the comparability of SAGE with microarray and the future potential of SAGE. Understanding these basic features should aid the proper interpretation of SAGE data to address biological and medical questions.

Original languageEnglish (US)
Pages (from-to)42-50
Number of pages9
JournalTrends in Genetics
Volume23
Issue number1
DOIs
StatePublished - Jan 1 2007

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Gene Expression
Genome
Genes

ASJC Scopus subject areas

  • Genetics

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Understanding SAGE data. / Wang, San Ming.

In: Trends in Genetics, Vol. 23, No. 1, 01.01.2007, p. 42-50.

Research output: Contribution to journalReview article

Wang, San Ming. / Understanding SAGE data. In: Trends in Genetics. 2007 ; Vol. 23, No. 1. pp. 42-50.
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