J Biomed Inform - Inferring cell cycle feedback regulation from gene expression data.

Tópicos

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Resumo

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.

Resumo Limpo

feedback control import regulatori process biolog system confer robust extern intern disturb gene involv feedback structur therefor like major role regul cellular process reli dynam bayesian network approach identifi feedback loop cell cycl regul analyz transcript profil cell cycl hela cancer cell identifi feedback loop structur compos gene silico analys show gene hold import role system dynam result publish experiment assay confirm central role identifi feedback loop gene cell cycl regul conclus provid novel approach identifi critic gene dynam biolog process may lead identif therapeut target diseas involv perturb dynam

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