Serial analysis of gene expression (SAGE): unraveling the bioinformatics tools
Authors:
Abstract
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.Keywords
This publication has 39 references indexed in Scilit:
- Assessment of SAGE in Transcript IdentificationGenome Research, 2003
- High-throughput SELEX–SAGE method for quantitative modeling of transcription-factor binding sitesNature Biotechnology, 2002
- Computational Analysis of Gene Identification with SAGEJournal of Computational Biology, 2002
- POWER_SAGE: comparing statistical tests for SAGE experimentsBioinformatics, 2000
- Gene expression analysis by massively parallel signature sequencing (MPSS) on microbead arraysNature Biotechnology, 2000
- Expression Profile Viewer (ExProView): A Software Tool for Transcriptome AnalysisGenomics, 2000
- Tantalizing Transcriptomes--SAGE and Its Use in Global Gene Expression AnalysisScience, 1999
- Expression monitoring by hybridization to high-density oligonucleotide arraysNature Biotechnology, 1996
- Serial Analysis of Gene ExpressionScience, 1995
- Differential Display of Eukaryotic Messenger RNA by Means of the Polymerase Chain ReactionScience, 1992