Publication Date:
2002-10-26
Description:
We have determined how most of the transcriptional regulators encoded in the eukaryote Saccharomyces cerevisiae associate with genes across the genome in living cells. Just as maps of metabolic networks describe the potential pathways that may be used by a cell to accomplish metabolic processes, this network of regulator-gene interactions describes potential pathways yeast cells can use to regulate global gene expression programs. We use this information to identify network motifs, the simplest units of network architecture, and demonstrate that an automated process can use motifs to assemble a transcriptional regulatory network structure. Our results reveal that eukaryotic cellular functions are highly connected through networks of transcriptional regulators that regulate other transcriptional regulators.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lee, Tong Ihn -- Rinaldi, Nicola J -- Robert, Francois -- Odom, Duncan T -- Bar-Joseph, Ziv -- Gerber, Georg K -- Hannett, Nancy M -- Harbison, Christopher T -- Thompson, Craig M -- Simon, Itamar -- Zeitlinger, Julia -- Jennings, Ezra G -- Murray, Heather L -- Gordon, D Benjamin -- Ren, Bing -- Wyrick, John J -- Tagne, Jean-Bosco -- Volkert, Thomas L -- Fraenkel, Ernest -- Gifford, David K -- Young, Richard A -- New York, N.Y. -- Science. 2002 Oct 25;298(5594):799-804.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Whitehead Institute for Biomedical Research, Nine Cambridge Center, Cambridge, MA 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12399584" target="_blank"〉PubMed〈/a〉
Keywords:
Algorithms
;
Cell Cycle
;
Computational Biology
;
DNA, Fungal/genetics/metabolism
;
Feedback, Physiological
;
Gene Expression Profiling
;
*Gene Expression Regulation, Fungal
;
*Genes, Fungal
;
Genome, Fungal
;
Models, Genetic
;
*Promoter Regions, Genetic
;
Protein Binding
;
Saccharomyces cerevisiae/cytology/*genetics/growth & development/metabolism
;
Saccharomyces cerevisiae Proteins/genetics/*metabolism
;
Transcription Factors/genetics/*metabolism
;
Transcription, Genetic
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
