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|a A system-level model for the microbial regulatory genome.
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|a Washington, D.C. :
|b United States. Department of Energy. Office of Science ;
|a Oak Ridge, Tenn. :
|b Distributed by the Office of Scientific and Technical Information, U.S. Department of Energy,
|c 2014.
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| 300 |
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|a Size: Article No. 740 :
|b digital, PDF file.
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|a text
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|a Published through Scitech Connect.
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|a 07/01/2014.
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|a "Journal ID: ISSN 1744-4292."
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|a Brooks, Aaron N. ; Reiss, David J. ; Allard, Antoine ; Wu, Wei?Ju ; Salvanha, Diego M. ; Plaisier, Christopher L. ; Chandrasekaran, Sriram ; Pan, Min ; Kaur, Amardeep ; Baliga, Nitin S. ; et al;
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|a Univ. of Washington, Seattle, WA (United States)
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| 520 |
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|a Microbes can tailor transcriptional responses to diverse environmental challenges despite having streamlined genomes and a limited number of regulators. Here, we present data-driven models that capture the dynamic interplay of the environment and genome-encoded regulatory programs of two types of prokaryotes: Escherichia coli (a bacterium) and Halobacterium salinarum (an archaeon). The models reveal how the genome-wide distributions of cis-acting gene regulatory elements and the conditional influences of transcription factors at each of those elements encode programs for eliciting a wide array of environment-specific responses. We demonstrate how these programs partition transcriptional regulation of genes within regulons and operons to re-organize gene?gene functional associations in each environment. The models capture fitness-relevant co-regulation by different transcriptional control mechanisms acting across the entire genome, to define a generalized, system-level organizing principle for prokaryotic gene regulatory networks that goes well beyond existing paradigms of gene regulation. An online resource (http:// egrin2.systemsbiology.net) has been developed to facilitate multiscale exploration of conditional gene regulation in the two prokaryotes.
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|b FG02-08ER64685.
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|b AC02-05CH11231.
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|b AC05-06OR23100.
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|b FG02-07ER64327.
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| 650 |
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|a 59 basic biological sciences
|2 local.
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| 650 |
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|a Biochemistry & molecular biology
|2 local.
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| 710 |
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|a Lawrence Berkeley National Laboratory.
|4 res.
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| 710 |
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|a United States. Department of Energy. Office of Science.
|4 spn.
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| 710 |
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|a United States.
|b Department of Energy.
|b Office of Scientific and Technical Information
|4 dst.
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| 856 |
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|u https://www.osti.gov/servlets/purl/1627935
|z Full Text (via OSTI)
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|a .b117711731
|b 04-01-21
|c 04-01-21
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|a University of Colorado Boulder
|b Online
|c Online
|d Online
|i web
|n 1
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