Transcriptional regulatory circuits: predicting numbers from alphabets.

Science
Authors
Keywords
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.

Year of Publication
2009
Journal
Science
Volume
325
Issue
5939
Pages
429-32
Date Published
2009 Jul 24
ISSN
1095-9203
URL
DOI
10.1126/science.1171347
PubMed ID
19628860
PubMed Central ID
PMC2745280
Links
Grant list
DP1-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