Transcriptional Regulatory Circuits: Predicting Numbers from Alphabets

available in PMC 2010 January 24.

Bibliographic Details
Main Authors: Kim, Harold D., Shay, Tal, O'Shea, Erin K., Regev, Aviv
Other Authors: Massachusetts Institute of Technology. Department of Biology
Format: Article
Language:en_US
Published: American Association for the Advancement of Science (AAAS) 2014
Online Access:http://hdl.handle.net/1721.1/84942
https://orcid.org/0000-0001-8567-2049
_version_ 1826191163701329920
author Kim, Harold D.
Shay, Tal
O'Shea, Erin K.
Regev, Aviv
author2 Massachusetts Institute of Technology. Department of Biology
author_facet Massachusetts Institute of Technology. Department of Biology
Kim, Harold D.
Shay, Tal
O'Shea, Erin K.
Regev, Aviv
author_sort Kim, Harold D.
collection MIT
description available in PMC 2010 January 24.
first_indexed 2024-09-23T08:51:16Z
format Article
id mit-1721.1/84942
institution Massachusetts Institute of Technology
language en_US
last_indexed 2024-09-23T08:51:16Z
publishDate 2014
publisher American Association for the Advancement of Science (AAAS)
record_format dspace
spelling mit-1721.1/849422022-09-26T08:46:13Z Transcriptional Regulatory Circuits: Predicting Numbers from Alphabets Kim, Harold D. Shay, Tal O'Shea, Erin K. Regev, Aviv Massachusetts Institute of Technology. Department of Biology Regev, Aviv Shay, Tal 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) 2014-02-14T14:32:37Z 2014-02-14T14:32:37Z 2009-07 Article http://purl.org/eprint/type/JournalArticle NIHMS137510 http://hdl.handle.net/1721.1/84942 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. PMC2745280 https://orcid.org/0000-0001-8567-2049 en_US http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2745280/ Science 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. application/pdf American Association for the Advancement of Science (AAAS) PMC
spellingShingle Kim, Harold D.
Shay, Tal
O'Shea, Erin K.
Regev, Aviv
Transcriptional Regulatory Circuits: Predicting Numbers from Alphabets
title Transcriptional Regulatory Circuits: Predicting Numbers from Alphabets
title_full Transcriptional Regulatory Circuits: Predicting Numbers from Alphabets
title_fullStr Transcriptional Regulatory Circuits: Predicting Numbers from Alphabets
title_full_unstemmed Transcriptional Regulatory Circuits: Predicting Numbers from Alphabets
title_short Transcriptional Regulatory Circuits: Predicting Numbers from Alphabets
title_sort transcriptional regulatory circuits predicting numbers from alphabets
url http://hdl.handle.net/1721.1/84942
https://orcid.org/0000-0001-8567-2049
work_keys_str_mv AT kimharoldd transcriptionalregulatorycircuitspredictingnumbersfromalphabets
AT shaytal transcriptionalregulatorycircuitspredictingnumbersfromalphabets
AT osheaerink transcriptionalregulatorycircuitspredictingnumbersfromalphabets
AT regevaviv transcriptionalregulatorycircuitspredictingnumbersfromalphabets