Unit

UNIT 25B.6 Serial Analysis of Gene Expression (SAGE): Experimental Method and Data Analysis

  1. Seth Blackshaw1,
  2. Brad St. Croix2,
  3. Kornelia Polyak3,
  4. Jae Bum Kim4,
  5. Li Cai5

Published Online: 1 OCT 2007

DOI: 10.1002/0471142727.mb25b06s80

Current Protocols in Molecular Biology

Current Protocols in Molecular Biology

How to Cite

Blackshaw, S., Croix, B. S., Polyak, K., Kim, J. B. and Cai, L. 2007. Serial Analysis of Gene Expression (SAGE): Experimental Method and Data Analysis. Current Protocols in Molecular Biology. 80:B:25B.6:25B.6.1–25B.6.39.

Author Information

  1. 1

    Johns Hopkins University School of Medicine, Baltimore, Maryland

  2. 2

    National Cancer Institute, Frederick, Maryland

  3. 3

    Dana-Farber Cancer Institute, Boston, Massachusetts

  4. 4

    Brigham and Women's Hospital, Boston, Massachusetts

  5. 5

    Rutgers University, Piscataway, New Jersey

Publication History

  1. Published Online: 1 OCT 2007
  2. Published Print: OCT 2007

Abstract

Serial analysis of gene expression (SAGE) involves the generation of short fragments of DNA, or tags, from a defined point in the sequence of all cDNAs in the sample analyzed. This short tag, because of its presence in a defined point in the sequence, is typically sufficient to uniquely identify every transcript in the sample. SAGE allows one to generate a comprehensive profile of gene expression in any sample desired from as little as 100,000 cells or 1 µg of total RNA. SAGE generates absolute, rather than relative, measurements of RNA abundance levels, and this fact allows an investigator to readily and reliably compare data to those produced by other laboratories, making the SAGE data set increasingly useful as more data is generated and shared. Software tools have also been specifically adapted for SAGE tags to allow cluster analysis of both public and user-generated data. Curr. Protoc. Mol. Biol. 80:25B.6.1-25B.6.39. © 2007 by John Wiley & Sons, Inc.

Keywords:

  • Genomics;
  • mRNA;
  • expression profiling;
  • DNA sequencing