Open AccessReverse‐engineering human regulatory networks
Author(s) -
Lefebvre Celine,
Rieckhof Gabrielle,
Califano Andrea
Publication year - 2012
Publication title -
wiley interdisciplinary reviews: systems biology and medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.087
H-Index - 51
eISSN - 1939-005X
pISSN - 1939-5094
DOI - 10.1002/wsbm.1159
Subject(s) - computational biology , systems biology , gene regulatory network , context (archaeology) , biology , biological network , data science , genomics , computer science , genome , gene , genetics , gene expression , paleontology
The explosion of genomic, transcriptomic, proteomic, metabolomic, and other omics data is challenging the research community to develop rational models for their organization and interpretation to generate novel biological knowledge. The development and use of gene regulatory networks to mechanistically interpret this data is an important development in molecular biology, usually captured under the banner of systems biology. As a result, the repertoire of methods for the reconstruction of comprehensive and cell‐context‐specific maps of regulatory interactions, or interactomes, has also exploded in the past few years. In this review, we focus on Network Biology and more specifically on methods for reverse engineering transcriptional, post‐transcriptional, and post‐translational human interaction networks and show how their interrogation is starting to impact our understanding of cellular pathophysiology and one's ability to predict cellular phenotypes from genome‐wide molecular observations. WIREs Syst Biol Med 2012 doi: 10.1002/wsbm.1159 This article is categorized under: Analytical and Computational Methods > Analytical Methods Biological Mechanisms > Regulatory Biology