A predictive model for transcriptional control of physiology in a free living cell
被引:237
作者:
Bonneau, Richard
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NYU, Ctr Genome & Syst Biol, New York, NY 10003 USA
NYU, Dept Comp Sci, Courant Inst Math Sci, New York, NY 10003 USAInst Syst Biol, Seattle, WA 98103 USA
Bonneau, Richard
[2
,5
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Facciotti, Marc T.
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Inst Syst Biol, Seattle, WA 98103 USAInst Syst Biol, Seattle, WA 98103 USA
Facciotti, Marc T.
[1
]
Reiss, David J.
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Inst Syst Biol, Seattle, WA 98103 USAInst Syst Biol, Seattle, WA 98103 USA
Reiss, David J.
[1
]
Schmid, Amy K.
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Inst Syst Biol, Seattle, WA 98103 USAInst Syst Biol, Seattle, WA 98103 USA
Schmid, Amy K.
[1
]
Pan, Min
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Inst Syst Biol, Seattle, WA 98103 USAInst Syst Biol, Seattle, WA 98103 USA
Pan, Min
[1
]
Kaur, Amardeep
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Inst Syst Biol, Seattle, WA 98103 USAInst Syst Biol, Seattle, WA 98103 USA
Kaur, Amardeep
[1
]
Thorsson, Vesteinn
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Inst Syst Biol, Seattle, WA 98103 USAInst Syst Biol, Seattle, WA 98103 USA
Thorsson, Vesteinn
[1
]
Shannon, Paul
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Inst Syst Biol, Seattle, WA 98103 USAInst Syst Biol, Seattle, WA 98103 USA
Shannon, Paul
[1
]
Johnson, Michael H.
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Inst Syst Biol, Seattle, WA 98103 USAInst Syst Biol, Seattle, WA 98103 USA
Johnson, Michael H.
[1
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Bare, J. Christopher
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Inst Syst Biol, Seattle, WA 98103 USAInst Syst Biol, Seattle, WA 98103 USA
Bare, J. Christopher
[1
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Longabaugh, William
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Inst Syst Biol, Seattle, WA 98103 USAInst Syst Biol, Seattle, WA 98103 USA
Longabaugh, William
[1
]
Vuthoori, Madhavi
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Inst Syst Biol, Seattle, WA 98103 USAInst Syst Biol, Seattle, WA 98103 USA
Vuthoori, Madhavi
[1
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Whitehead, Kenia
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Inst Syst Biol, Seattle, WA 98103 USAInst Syst Biol, Seattle, WA 98103 USA
Whitehead, Kenia
[1
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Madar, Aviv
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NYU, Ctr Genome & Syst Biol, New York, NY 10003 USAInst Syst Biol, Seattle, WA 98103 USA
Madar, Aviv
[2
]
Suzuki, Lena
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机构:
Vanderbilt Univ, Nashville, TN 37240 USAInst Syst Biol, Seattle, WA 98103 USA
Suzuki, Lena
[4
]
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Mori, Tetsuya
[4
]
Chang, Dong-Eun
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Vanderbilt Univ, Nashville, TN 37240 USAInst Syst Biol, Seattle, WA 98103 USA
Chang, Dong-Eun
[4
]
DiRuggiero, Jocelyne
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Univ Maryland, College Pk, MD 20742 USAInst Syst Biol, Seattle, WA 98103 USA
DiRuggiero, Jocelyne
[3
]
Johnson, Carl H.
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机构:
Vanderbilt Univ, Nashville, TN 37240 USAInst Syst Biol, Seattle, WA 98103 USA
Johnson, Carl H.
[4
]
Hood, Leroy
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Inst Syst Biol, Seattle, WA 98103 USAInst Syst Biol, Seattle, WA 98103 USA
Hood, Leroy
[1
]
Baliga, Nitin S.
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Inst Syst Biol, Seattle, WA 98103 USA
Univ Washington, Dept Microbiol, Seattle, WA 98195 USA
Univ Washington, Dept Mol & Cellular Biol, Seattle, WA 98195 USAInst Syst Biol, Seattle, WA 98103 USA
Baliga, Nitin S.
[1
,6
,7
]
机构:
[1] Inst Syst Biol, Seattle, WA 98103 USA
[2] NYU, Ctr Genome & Syst Biol, New York, NY 10003 USA
[3] Univ Maryland, College Pk, MD 20742 USA
[4] Vanderbilt Univ, Nashville, TN 37240 USA
[5] NYU, Dept Comp Sci, Courant Inst Math Sci, New York, NY 10003 USA
[6] Univ Washington, Dept Microbiol, Seattle, WA 98195 USA
[7] Univ Washington, Dept Mol & Cellular Biol, Seattle, WA 98195 USA
The environment significantly influences the dynamic expression and assembly of all components encoded in the genome of an organism into functional biological networks. We have constructed a model for this process in Halobacterium salinarum NRC-1 through the data-driven discovery of regulatory and functional interrelationships among similar to 80% of its genes and key abiotic factors in its hypersaline environment. Using relative changes in 72 transcription factors and 9 environmental factors (EFs) this model accurately predicts dynamic transcriptional responses of all these genes in 147 newly collected experiments representing completely novel genetic backgrounds and environments-suggesting a remarkable degree of network completeness. Using this model we have constructed and tested hypotheses critical to this organism's interaction with its changing hypersaline environment. This study supports the claim that the high degree of connectivity within biological and EF networks will enable the construction of similar models for any organism from relatively modest numbers of experiments.