Transcriptional Regulatory Circuits: Predicting Numbers from Alphabets

• Main Authors: Kim, Harold D. (Author), Shay, Tal (Contributor), O'Shea, Erin K. (Author), Regev, Aviv (Contributor)
• Other Authors: Massachusetts Institute of Technology. Department of Biology (Contributor)
• Format: Article
• Language: English
• Published: American Association for the Advancement of Science (AAAS), 2014-02-14T14:32:37Z.
• Subjects: Article
• Online Access: Get fulltext

available in PMC 2010 January 24.
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.
Howard Hughes Medical Institute
National Institutes of Health (U.S.) (NIH GM51377)
National Institutes of Health (U.S.) (NIH DP1-OD00395)
Burroughs Wellcome Fund (Career Award at the Scientific Interface)
ofI (Firm)