Regulatory activity revealed by dynamic correlations in gene expression noise.
Regulatory activity revealed by dynamic correlations in gene expression noise.
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DOI:
10.1038/ng.281
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发表时间:
2008-12
期刊:
影响因子:
30.8
通讯作者:
Elowitz, Michael B.
中科院分区:
文献类型:
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作者:
Dunlop, Mary J.;Cox, Robert Sidney, III;Levine, Joseph H.;Murray, Richard M.;Elowitz, Michael B.
Gene regulatory interactions are context–dependent, active in some cellular states but not others. Stochastic fluctuations, or ‘noise,’ in gene expression propagate through active, but not inactive, regulatory links. Thus, correlations in gene expression noise could provide a non-invasive means to probe the activity states of regulatory links. However, global, ‘extrinsic’, noise sources generate correlations even without direct regulatory links. Here we show that single-cell time-lapse microscopy, by revealing time lags due to regulation, can discriminate between active regulatory connections and extrinsic noise. We demonstrate this principle mathematically, using stochastic modeling, and experimentally, using simple synthetic gene circuits. We then use this approach to analyze dynamic noise correlations in the galactose metabolism genes of E. coli. We find that the CRP-GalS-GalE feed-forward loop is inactive in standard conditions, but can become active in a GalR mutant. These results show how noise can help analyze the context-dependence of regulatory interactions in endogenous gene circuits.
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DOI:
10.1073/pnas.0804829105
发表时间:
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