Description of SAGE

Serial analysis of gene expression (SAGE) is a method for comprehensive analysis of gene expression patterns.

Three principles underlie the SAGE methodology:

1. A short sequence tag (10-14bp) contains sufficient information to uniquely identify a transcript provided that that the tag is obtained from a unique position within each transcript;
2. Sequence tags can be linked together to from long serial molecules that can be cloned and sequenced; and
3. Quantitation of the number of times a particular tag is observed provides the expression level of the corresponding transcript.

For more detailed description please see:

Velculescu, V. E., Zhang, L., Vogelstein, B., and Kinzler, K. W. (1995). Serial Analysis Of Gene Expression. Science 270, 484-487.

Velculescu, V. E., Zhang, L., Zhou, W., Vogelstein, J., Basrai, M. A., Bassett, D. E., Hieter, P., Vogelstein, B., and Kinzler, K. W. (1997). Characterization of the yeast transcriptome. Cell 88.

SAGE for Beginners (courtesy of EMBL)

Schematic of SAGE method:

Recent SAGE applications

	Analysis of yeast transcriptome
	Gene Expression Profiles in Normal and Cancer Cells
	Insights into p53-mediated apoptosis
	14-3-3 sigma is a p53 regulated inhibitor of G2/M progression
	Identification of Myc as a target of the APC pathway
	PPARd Is an APC-Regulated Target of Nonsteroidal Anti-Inflammatory Drugs
	Identification and classification of p53-regulated genes
	Analysis of human transcriptomes
	Serial microanalysis of renal transcriptomes
	Genes Expressed in Human Tumor Endothelium
	Ferredoxin reductase affects 5-FU apoptosis
	Analysis of colorectal metastases (PRL-3)
	Characterization of gene expression in colorectal adenomas and cancers
	Using the transcriptome to analyze the genome (LongSAGE)
	DEC1 is a downstream target of TGF-beta