Systems approaches to identifying gene regulatory networks in plants.
Journal Article (Review;Journal Article)
Complex gene regulatory networks are composed of genes, noncoding RNAs, proteins, metabolites, and signaling components. The availability of genome-wide mutagenesis libraries; large-scale transcriptome, proteome, and metabalome data sets; and new high-throughput methods that uncover protein interactions underscores the need for mathematical modeling techniques that better enable scientists to synthesize these large amounts of information and to understand the properties of these biological systems. Systems biology approaches can allow researchers to move beyond a reductionist approach and to both integrate and comprehend the interactions of multiple components within these systems. Descriptive and mathematical models for gene regulatory networks can reveal emergent properties of these plant systems. This review highlights methods that researchers are using to obtain large-scale data sets, and examples of gene regulatory networks modeled with these data. Emergent properties revealed by the use of these network models and perspectives on the future of systems biology are discussed.
Full Text
Duke Authors
Cited Authors
- Long, TA; Brady, SM; Benfey, PN
Published Date
- January 2008
Published In
Volume / Issue
- 24 /
Start / End Page
- 81 - 103
PubMed ID
- 18616425
Pubmed Central ID
- PMC2739012
Electronic International Standard Serial Number (EISSN)
- 1530-8995
International Standard Serial Number (ISSN)
- 1081-0706
Digital Object Identifier (DOI)
- 10.1146/annurev.cellbio.24.110707.175408
Language
- eng