Transcriptional Regulatory Circuits: Predicting Numbers from Alphabets
Name
Regev_Transcriptional regulatory.pdf
Size
627.52 KB
Format
Adobe PDF
Checksum (MD5)
bb52b2c29dd49c96144f323a43544d35
Author(s)
Kim, Harold D.
Shay, Tal
O'Shea, Erin K.
Regev, Aviv
Date Issued
July 2009
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
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.
MIT Department
Massachusetts Institute of Technology. Department of Biology
Terms of Use
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.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1126/science.1171347
