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- Title
Inferring genetic networks and identifying compound mode of action via expression profiling.
- Authors
Gardner, Timothy S; di Bernardo, Diego; Lorenz, David; Collins, James J
- Abstract
The complexity of cellular gene, protein, and metabolite networks can hinder attempts to elucidate their structure and function. To address this problem, we used systematic transcriptional perturbations to construct a first-order model of regulatory interactions in a nine-gene subnetwork of the SOS pathway in Escherichia coli. The model correctly identified the major regulatory genes and the transcriptional targets of mitomycin C activity in the subnetwork. This approach, which is experimentally and computationally scalable, provides a framework for elucidating the functional properties of genetic networks and identifying molecular targets of pharmacological compounds.
- Publication
Science (New York, N.Y.), 2003, Vol 301, Issue 5629, p102
- ISSN
1095-9203
- Publication type
Journal Article
- DOI
10.1126/science.1081900