Document Detail


Inferring cell cycle feedback regulation from gene expression data.
MedLine Citation:
PMID:  21310265     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Feedback control is an important regulatory process in biological systems, which confers robustness against external and internal disturbances. Genes involved in feedback structures are therefore likely to have a major role in regulating cellular processes. Here we rely on a dynamic Bayesian network approach to identify feedback loops in cell cycle regulation. We analyzed the transcriptional profile of the cell cycle in HeLa cancer cells and identified a feedback loop structure composed of 10 genes. In silico analyses showed that these genes hold important roles in system's dynamics. The results of published experimental assays confirmed the central role of 8 of the identified feedback loop genes in cell cycle regulation. In conclusion, we provide a novel approach to identify critical genes for the dynamics of biological processes. This may lead to the identification of therapeutic targets in diseases that involve perturbations of these dynamics.
Authors:
Fulvia Ferrazzi; Felix B Engel; Erxi Wu; Annie P Moseman; Isaac S Kohane; Riccardo Bellazzi; Marco F Ramoni
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't     Date:  2011-02-16
Journal Detail:
Title:  Journal of biomedical informatics     Volume:  44     ISSN:  1532-0480     ISO Abbreviation:  J Biomed Inform     Publication Date:  2011 Aug 
Date Detail:
Created Date:  2011-07-25     Completed Date:  2012-01-12     Revised Date:  2013-06-30    
Medline Journal Info:
Nlm Unique ID:  100970413     Medline TA:  J Biomed Inform     Country:  United States    
Other Details:
Languages:  eng     Pagination:  565-75     Citation Subset:  IM    
Copyright Information:
Copyright © 2011 Elsevier Inc. All rights reserved.
Affiliation:
Dipartimento di Informatica e Sistemistica, Università degli Studi di Pavia, Pavia, Italy. fulvia.ferrazzi@unipv.it
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MeSH Terms
Descriptor/Qualifier:
Bayes Theorem
Cell Cycle / genetics*
Computational Biology / methods*
Computer Simulation
Databases, Genetic
Feedback, Physiological / physiology*
Gene Expression*
Gene Regulatory Networks*
HeLa Cells
Humans
Models, Biological
Grant Support
ID/Acronym/Agency:
HG003354-01A2/HG/NHGRI NIH HHS; R01 HG003354-01A2/HG/NHGRI NIH HHS
Comments/Corrections

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