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Use of serial analysis of gene expression (SAGE) technology

Affiliation

  • 1 Department of Biochemistry, National Defense Medical College, 3-2 Namiki, Tokorozawa, 359-8513, Saitama, Japan. [email protected]
  • PMID: 11251221
  • DOI: 10.1016/s0022-1759(01)00305-2

Use of serial analysis of gene expression (SAGE) technology

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Authors

Affiliation

  • 1 Department of Biochemistry, National Defense Medical College, 3-2 Namiki, Tokorozawa, 359-8513, Saitama, Japan. [email protected]
  • PMID: 11251221
  • DOI: 10.1016/s0022-1759(01)00305-2

Abstract

Serial analysis of gene expression, or SAGE, is an experimental technique designed to gain a direct and quantitative measure of gene expression. The SAGE method is based on the isolation of unique sequence tags (9-10 bp in length) from individual mRNAs and concatenation of tags serially into long DNA molecules for a lump-sum sequencing. The SAGE method can be applied to the studies exploring virtually any kinds of biological phenomena in which the changes in cellular transcription are responsible. SAGE is a highly competent technology that can not only give a global gene expression profile of a particular type of cell or tissue, but also help us identify a set of specific genes to the cellular conditions by comparing the profiles constructed for a pair of cells that are kept at different conditions. In this review, we present an outline of the original method, several studies achieved by using the method as a major strategic tool, technological difficulties and intrinsic problems that emerged, and improvements and modifications of the method to cope with these drawbacks. We then present our modified SAGE procedure that generates longer sequence tags (14 bp) rather in detail, and the profile (80K profile) derived from HeLa cells that is composed of 80000 tags obtained from a single library. In addition, a series of smaller profiles (2, 4, 10, 20 and 40K) was made by dividing the 80K profile. When we compared these smaller profiles with respect to tag counts for a number of genes, it became apparent that counts of most gene tags increase stably and constantly as the size of profiles increase, while several genes do not. This may be another problem we have to keep in mind, when the profiles are compared for the identification of ‘specific genes’.

Serial analysis of gene expression, or SAGE, is an experimental technique designed to gain a direct and quantitative measure of gene expression. The SAGE method is based on the isolation of unique sequence tags (9-10 bp in length) from individual mRNAs and concatenation of tags serially into long DN …

Serial Analysis of Gene Expression (SAGE) by Sequencing

Analysis of global gene expression patterns provides valuable insight into the role of differential expression in normal biological and disease processes.

Serial Analysis of Gene Expression (SAGE) is used to generate library of short sequence tags, each of which is then used to uniquely identify a transcript, with multiple tags forming long serial contigs across transcripts. The number of times each tag is detected is correlated to the expression level for the corresponding transcript.

SAGE™ technology allows comprehensive, digital, genome-wide expression analysis. The expression profiles generated are sensitive enough to detect low-abundance transcripts, making it possible to identify novel genes without prior sequence knowledge.

Why Choose SAGE™ Technology?

When you compare genome-wide methods, SAGE™ technology is the only method that delivers all the critical criteria for genome-wide expression analysis. SAGE™ technology is also unique in that there are several public databases that can be used to facilitate your analysis.

Advantage Over Microarrays

Microarrays can analyze many transcripts, but are limited by the variability of hybridization and can miss novel transcripts expressed at low levels.

Advantage Over Differential Display

Differential display can identify differences among transcripts, but is unable to provide comprehensive profiles.

Analysis of global gene expression patterns provides valuable insight into the role of differential expression in normal biological and disease processes.Serial Analysis of Gene Expression (SAGE) is used to generate library of short sequence tags, e