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Comprehensive under...
Comprehensive understanding of Saccharomyces cerevisiae phenotypes with whole-cell model WM_S288C
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- Ye, Chao (författare)
- Jiangnan University
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- Xu, Nan (författare)
- Yangzhou University
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- Gao, Cong (författare)
- Jiangnan University
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- Liu, Gaoqiang (författare)
- Central South University of Forestry and Technology
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- Xu, Jianzhong (författare)
- Jiangnan University
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- Zhang, Weiguo (författare)
- Jiangnan University
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- Chen, Xiulai (författare)
- Jiangnan University
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- Nielsen, Jens B, 1962 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Liu, Liming (författare)
- Jiangnan University
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(creator_code:org_t)
- 2020-02-13
- 2020
- Engelska.
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Ingår i: Biotechnology and Bioengineering. - : Wiley. - 0006-3592 .- 1097-0290. ; 117:5, s. 1562-1574
- Relaterad länk:
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https://doi.org/10.1...
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https://research.cha...
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Abstract
Ämnesord
Stäng
- Biological network construction for Saccharomyces cerevisiae is a widely used approach for simulating phenotypes and designing cell factories. However, due to a complicated regulatory mechanism governing the translation of genotype to phenotype, precise prediction of phenotypes remains challenging. Here, we present WM_S288C, a computational whole-cell model that includes 15 cellular states and 26 cellular processes and which enables integrated analyses of physiological functions of Saccharomyces cerevisiae. Using WM_S288C to predict phenotypes of S. cerevisiae, the functions of 1140 essential genes were characterized and linked to phenotypes at five levels. During the cell cycle, the dynamic allocation of intracellular molecules could be tracked in real-time to simulate cell activities. Additionally, one-third of non-essential genes were identified to affect cell growth via regulating nucleotide concentrations. These results demonstrated the value of WM_S288C as a tool for understanding and investigating the phenotypes of S. cerevisiae.
Ämnesord
- NATURVETENSKAP -- Biologi -- Cellbiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Cell Biology (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinsk bioteknologi -- Medicinsk bioteknologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Medical Biotechnology -- Medical Biotechnology (hsv//eng)
- NATURVETENSKAP -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)
Nyckelord
- Saccharomyces cerevisiae
- predict phenotypes
- cell growth
- whole-cell model
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Ye, Chao
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Xu, Nan
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Gao, Cong
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Liu, Gaoqiang
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Xu, Jianzhong
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Zhang, Weiguo
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visa fler...
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Chen, Xiulai
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Nielsen, Jens B, ...
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Liu, Liming
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visa färre...
- Om ämnet
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- NATURVETENSKAP
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NATURVETENSKAP
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och Biologi
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och Cellbiologi
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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och Medicinsk biotek ...
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och Medicinsk biotek ...
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- NATURVETENSKAP
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NATURVETENSKAP
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och Biologi
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och Bioinformatik oc ...
- Artiklar i publikationen
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Biotechnology an ...
- Av lärosätet
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Chalmers tekniska högskola