Reconstructing dynamic regulatory maps.
Reconstructing dynamic regulatory maps.
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DOI:
10.1038/msb4100115
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发表时间:
2007
影响因子:
9.9
通讯作者:
中科院分区:
文献类型:
--
作者:
Even simple organisms have the ability to respond to internal and external stimuli. This response is carried out by a dynamic network of protein–DNA interactions that allows the specific regulation of genes needed for the response. We have developed a novel computational method that uses an input–output hidden Markov model to model these regulatory networks while taking into account their dynamic nature. Our method works by identifying bifurcation points, places in the time series where the expression of a subset of genes diverges from the rest of the genes. These points are annotated with the transcription factors regulating these transitions resulting in a unified temporal map. Applying our method to study yeast response to stress, we derive dynamic models that are able to recover many of the known aspects of these responses. Predictions made by our method have been experimentally validated leading to new roles for Ino4 and Gcn4 in controlling yeast response to stress. The temporal cascade of factors reveals common pathways and highlights differences between master and secondary factors in the utilization of network motifs and in condition-specific regulation.
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DOI:
10.1073/pnas.98.4.1693
发表时间:
2001-02-13
影响因子:
11.1
作者:
Holter, NS;Maritan, A;Banavar, JR
通讯作者:
Banavar, JR
影响因子:
30.8
作者:
Ihmels, J;Friedlander, G;Barkai, N
通讯作者:
Barkai, N
影响因子:
5.3
作者:
BONNER, JJ;HEYWARD, S;FACKENTHAL, DL
通讯作者:
FACKENTHAL, DL
影响因子:
5.3
作者:
BAKER, RE;MASISON, DC
通讯作者:
MASISON, DC
DOI:
10.1073/pnas.80.17.5374
发表时间:
1983-01-01
期刊:
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA-BIOLOGICAL SCIENCES
影响因子:
--
作者:
HINNEBUSCH, AG;FINK, GR
通讯作者:
FINK, GR