Note to users. If you're seeing this message, it means that your browser cannot find this page's style/presentation instructions -- or possibly that you are using a browser that does not support current Web standards. Find out more about why this message is appearing, and what you can do to make your experience of our site the best it can be.

Sci. STKE, 18 September 2001
Vol. 2001, Issue 100, p. tw339
[DOI: 10.1126/stke.2001.100.tw339]


Proteomics Mountain Climbing for Gene Expression

An approach for analyzing large gene expression data sets is reported by Kim et al., who have combined data from 553 experiments done in collaboration with 30 laboratories in order to correlate profiles for more than 17,000 Caenorhabditis elegans genes. They used a visualization protocol that converts data points into a mountainous terrain, in which genes with correlated patterns of gene expression are grouped together. For example, an association of three genes with a particular mountain suggested that they might be heat shock-regulated, a hypothesis that was confirmed by subsequent experimentation. The expression map can be used to identify correlations in gene expression for the large fraction of genes in the genome whose functions were previously unknown.

S. K. Kim, J. Lund, M. Kiraly, K. Duke, M. Jiang, J. M. Stuart, A. Eizinger, B. N. Wylie, G. S. Davidson, A gene expression map for Caenorhabditis elegans. Science 293, 2087-2092 (2001). [Abstract] [Full Text]

Citation: Mountain Climbing for Gene Expression. Sci. STKE 2001, tw339 (2001).

To Advertise     Find Products

Science Signaling. ISSN 1937-9145 (online), 1945-0877 (print). Pre-2008: Science's STKE. ISSN 1525-8882