Transcriptional Regulatory Circuits: Predicting Numbers from Alphabets
available in PMC 2010 January 24.
Main Authors: | , , , |
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Format: | Article |
Language: | en_US |
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American Association for the Advancement of Science (AAAS)
2014
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Online Access: | http://hdl.handle.net/1721.1/84942 https://orcid.org/0000-0001-8567-2049 |
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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 |
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