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Modeling transcriptional regulatory networks

Bolouri, Hamid and Davidson, Eric H. (2002) Modeling transcriptional regulatory networks. Bioessays, 24 (12). pp. 1118-1129. ISSN 0265-9247. doi:10.1002/bies.10189. https://resolver.caltech.edu/CaltechAUTHORS:20160212-091437813

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Abstract

Developmental processes in complex animals are directed by a hardwired genomic regulatory code, the ultimate function of which is to set up a progression of transcriptional regulatory states in space and time. The code specifies the gene regulatory networks (GRNs) that underlie all major developmental events. Models of GRNs are required for analysis, for experimental manipulation and, most fundamentally, for comprehension of how GRNs work. To model GRNs requires knowledge of both their overall structure, which depends upon linkage amongst regulatory genes, and the modular building blocks of which GRNs are heirarchically constructed. The building blocks consist of basic transcriptional control processes executed by one or a few functionally linked genes. We show how the functions of several such building blocks can be considered in mathematical terms, and discuss resolution of GRNs by both “top down” and “bottom up” approaches.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1002/bies.10189DOIArticle
http://onlinelibrary.wiley.com/doi/10.1002/bies.10189/abstractPublisherArticle
Additional Information:© 2002 Wiley Periodicals, Inc. Article first published online: 22 Nov 2002. We are grateful to Drs. Mark Borisuk, Brian Ingalls, Herbert Sauro, Maria Schilstra, Denis Thieffry, Olaf Wolkenhauer, Adam Wilkins and Tau Mu Yi for helpful discussion and comments on early drafts of this manuscript. NIH. Grant Number: (GM-61005).
Funders:
Funding AgencyGrant Number
NIHGM-61005
Issue or Number:12
DOI:10.1002/bies.10189
Record Number:CaltechAUTHORS:20160212-091437813
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20160212-091437813
Official Citation:Bolouri, H. and Davidson, E. H. (2002), Modeling transcriptional regulatory networks. Bioessays, 24: 1118–1129. doi: 10.1002/bies.10189
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:64457
Collection:CaltechAUTHORS
Deposited By: Ruth Sustaita
Deposited On:19 Feb 2016 20:46
Last Modified:10 Nov 2021 23:31

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