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Science DOI:10.1126/science.1171347

Transcriptional regulatory circuits: predicting numbers from alphabets.

Publication TypeJournal Article
Year of Publication2009
AuthorsKim, HD, Shay, T, O'Shea, EK, Regev, A
JournalScience
Volume325
Issue5939
Pages429-32
Date Published2009 Jul 24
ISSN1095-9203
KeywordsAnimals, Eukaryotic Cells, Gene Expression Regulation, Gene Regulatory Networks, Genome, Models, Genetic, Prokaryotic Cells
Abstract

Transcriptional regulatory circuits govern how cis and trans factors transform signals into messenger RNA (mRNA) expression levels. With advances in quantitative and high-throughput technologies that allow measurement of gene expression state in different conditions, data that can be used to build and test models of transcriptional regulation is being generated at a rapid pace. Here, we review experimental and computational methods used to derive detailed quantitative circuit models on a small scale and cruder, genome-wide models on a large scale. We discuss the potential of combining small- and large-scale approaches to understand the working and wiring of transcriptional regulatory circuits.

URLhttp://www.sciencemag.org/cgi/pmidlookup?view=long&pmid=19628860
DOI10.1126/science.1171347
Pubmed

http://www.ncbi.nlm.nih.gov/pubmed/19628860?dopt=Abstract

Alternate JournalScience
PubMed ID19628860
PubMed Central IDPMC2745280
Grant ListDP1-OD003958-01 / OD / NIH HHS / United States
/ / Howard Hughes Medical Institute / United States
GM51377 / GM / NIGMS NIH HHS / United States
R01 GM051377-14 / GM / NIGMS NIH HHS / United States
DP1 OD003958 / OD / NIH HHS / United States
R01 GM051377 / GM / NIGMS NIH HHS / United States