Unit

UNIT 11.7 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 APR 2007

DOI: 10.1002/0471142905.hg1107s53

Current Protocols in Human Genetics

Current Protocols in Human Genetics

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 Human Genetics. 53:11.7:11.7.1–11.7.38.

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 APR 2007
  2. Published Print: APR 2007

Abstract

This unit provides a protocol for performing serial analysis of gene expression (SAGE). 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.

Keywords:

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