Sci. STKE, 18 September 2001
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).
Science Signaling. ISSN 1937-9145 (online), 1945-0877 (print). Pre-2008: Science's STKE. ISSN 1525-8882