Publication Date:
2003-07-05
Description:
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.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gardner, Timothy S -- di Bernardo, Diego -- Lorenz, David -- Collins, James J -- TGM03P17/Telethon/Italy -- TGM06S01/Telethon/Italy -- New York, N.Y. -- Science. 2003 Jul 4;301(5629):102-5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for BioDynamics and Department of Biomedical Engineering, Boston University, 44 Cummington Street, Boston, MA 02215, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12843395" target="_blank"〉PubMed〈/a〉
Keywords:
Algorithms
;
*Computational Biology
;
DNA Damage
;
DNA, Bacterial/genetics/metabolism
;
Escherichia coli/*genetics/metabolism
;
Escherichia coli Proteins/metabolism
;
*Gene Expression Profiling
;
Genes, Bacterial
;
Genes, Regulator
;
*Linear Models
;
Mathematics
;
Mitomycin/pharmacology
;
*Models, Genetic
;
Polymerase Chain Reaction
;
RNA, Bacterial/genetics/metabolism
;
RNA, Messenger/genetics/metabolism
;
*SOS Response (Genetics)
;
Transcription, Genetic
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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