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Genomic analysis of regulatory network dynamics reveals large topological changes
Author(s): Luscombe NM, Babu MM, Yu HY, Snyder M, Teichmann SA, Gerstein M
Source: NATURE    Volume: 431    Issue: 7006    Pages: 308-312    Published: SEP 16 2004  
Times Cited: 261     References: 28     
Abstract: Network analysis has been applied widely, providing a unifying language to describe disparate systems ranging from social interactions to power grids. It has recently been used in molecular biology, but so far the resulting networks have only been analysed statically(1-8). Here we present the dynamics of a biological network on a genomic scale, by integrating transcriptional regulatory information(9-11) and gene-expression data(12-16) for multiple conditions in Saccharomyces cerevisiae. We develop an approach for the statistical analysis of network dynamics, called SANDY, combining well-known global topological measures, local motifs and newly derived statistics. We uncover large changes in underlying network architecture that are unexpected given current viewpoints and random simulations. In response to diverse stimuli, transcription factors alter their interactions to varying degrees, thereby rewiring the network. A few transcription factors serve as permanent hubs, but most act transiently only during certain conditions. By studying sub-network structures, we show that environmental responses facilitate fast signal propagation (for example, with short regulatory cascades), whereas the cell cycle and sporulation direct temporal progression through multiple stages (for example, with highly inter-connected transcription factors). Indeed, to drive the latter processes forward, phase-specific transcription factors interregulate serially, and ubiquitously active transcription factors layer above them in a two-tiered hierarchy. We anticipate that many of the concepts presented here-particularly the large-scale topological changes and hub transience-will apply to other biological networks, including complex sub-systems in higher eukaryotes.
Document Type: Article
Language: English
Reprint Address: Luscombe, NM (reprint author), Yale Univ, Dept Mol Biophys & Biochem, POB 208114, New Haven, CT 06520 USA
Addresses:
1. Yale Univ, Dept Mol Biophys & Biochem, New Haven, CT 06520 USA
2. Yale Univ, Dept Mol Cellular & Dev Biol, New Haven, CT 06520 USA
3. Yale Univ, Dept Comp Sci, New Haven, CT 06520 USA
4. MRC, Mol Biol Lab, Div Struct Studies, Cambridge CB2 2QH, England
Publisher: NATURE PUBLISHING GROUP, MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
Subject Category: Multidisciplinary Sciences
IDS Number: 853XJ
ISSN: 0028-0836
DOI: 10.1038/nature02782
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