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ReportsInferring Genetic Networks and Identifying Compound Mode of Action via Expression Profiling
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. 1 Center for BioDynamics and Department of Biomedical Engineering, Boston University, 44 Cummington Street, Boston, MA 02215, USA. 2 Telethon Institute for Genetics and Medicine (TIGEM), Via P. Castellino 111, 80131, Naples, Italy.
* These authors contributed equally to this work.
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