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Reconstructing regulatory network transitions

Journal

TRENDS IN CELL BIOLOGY
Volume 21, Issue 8, Pages 442-451

Publisher

ELSEVIER SCIENCE LONDON
DOI: 10.1016/j.tcb.2011.05.001

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Funding

  1. NIGMS NIH HHS [R01 GM043778-22, R01 GM043778, P50 GM081883, P50 GM081883-04] Funding Source: Medline

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Cellular responses often involve a transition of cells from one state to another. A transition from a stem cell to a differentiated cell state, for example, might occur in response to gene expression changes induced by a transcription factor, or to signaling cascades triggered by a hormone or pathogen. Regulatory networks are thought to control such cellular transitions. Thus, many researchers are interested in reconstructing regulatory networks, not only with the aim of gaining a deeper understanding of cellular transitions, but also of using networks to predict and potentially manipulate cellular transitions and outcomes. In this review, we highlight approaches to the reconstruction of regulatory networks underlying cellular transitions, with special attention to transcriptional regulatory networks. We describe recent regulatory network reconstructions in a variety of organisms, and discuss the success they share in identifying new regulatory components, shared relationships and phenotypic outcomes.

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