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PMID: 22014521 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S. Review

Animal transcription networks as highly connected, quantitative continua.

Developmental cell ·Vol. 21 ·No. 4 ·2011-10-18 ·Pages 611-26

Biggin MD

Abstract

To understand how transcription factors function, it is essential to determine the range of genes that they each bind and regulate in vivo. Here I review evidence that most animal transcription factors each bind to a majority of genes over a quantitative series of DNA occupancy levels. These continua span functional, quasifunctional, and nonfunctional DNA binding events. Factor regulatory specificities are distinguished by quantitative differences in DNA occupancy patterns. I contrast these results with models for transcription networks that define discrete sets of direct target and nontarget genes and consequently do not fully capture the complexity observed in vivo.

MeSH Terms
Animals Computational Biology Gene Regulatory Networks Protein Binding Transcription Factors/metabolism
Chemicals
Transcription Factors
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Biggin Mark D
Genomics Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road MS 84-171, Berkeley, CA 94720, USA. mdbiggin@lbl.gov
Article Info
Journal
Developmental cell
Abbr.
Dev Cell
ISSN
1878-1551
Published
2011-10-18
Pages
611-26
Language
English
Region
United States
NLM ID
101120028
Subset
IM
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