| | |  | | | | Record from Web of Science® | | | | | | |
| Inferring genetic networks and identifying compound mode of action via expression profiling |
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| Author(s): Gardner TS, di Bernardo D, Lorenz D, Collins JJ |
| Source: SCIENCE Volume: 301 Issue: 5629 Pages: 102-105 Published: JUL 4 2003 |
| Times Cited: 298 References: 27 |
| 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. |
| Document Type: Article |
| Language: English |
| Reprint Address: Collins, JJ (reprint author), Boston Univ, Ctr Biodynam, 44 Cummington St, Boston, MA 02215 USA |
Addresses:
1. Boston Univ, Ctr Biodynam, Boston, MA 02215 USA
2. Boston Univ, Dept Biomed Engn, Boston, MA 02215 USA
3. Telethon Inst Genet & Med, I-80131 Naples, Italy |
| Publisher: AMER ASSOC ADVANCEMENT SCIENCE, 1200 NEW YORK AVE, NW, WASHINGTON, DC 20005 USA |
| Subject Category: Multidisciplinary Sciences |
| IDS Number: 696YG |
| ISSN: 0036-8075 |
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| | | | | | | | | Record from Web of Science® | | | | | | | | | |