Transcriptional regulatory circuits: predicting numbers from alphabets.
Science
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| 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
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| Journal | Science
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| Volume | 325
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| Issue | 5939
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| Pages | 429-32
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| Date Published | 2009 Jul 24
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| ISSN | 1095-9203
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| URL | |
| DOI | 10.1126/science.1171347
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| PubMed ID | 19628860
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| PubMed Central ID | PMC2745280
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| 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
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