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Transcriptional Regulatory Circuits: Predicting Numbers from Alphabets

Author(s)
Kim, Harold D.; Shay, Tal; O'Shea, Erin K.; Regev, Aviv
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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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.
Description
available in PMC 2010 January 24.
Date issued
2009-07
URI
http://hdl.handle.net/1721.1/84942
Department
Massachusetts Institute of Technology. Department of Biology
Journal
Science
Publisher
American Association for the Advancement of Science (AAAS)
Citation
Kim, Harold D., Tal Shay, Erin K. O'Shea, and Aviv Regev. "Transcriptional Regulatory Circuits: Predicting Numbers from Alphabets." Science 2009 July 24; 325(5939): 429–432.
Version: Author's final manuscript
Other identifiers
NIHMS137510

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