Systems Understanding of Microbial Oxygen-Dependent and Independent Catabolism (SUMO2)
Systems Understanding of Microbial Oxygen-Dependent and Independent Catabolism (SUMO2)
批准号:
BB/I004777/1
负责人:
Guido Sanguinetti
金额:
$34.07万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2010
资助国家:
英国
项目状态:
已结题
起止时间:
2010 至 --
中文摘要
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英文摘要
In this project, a multidisciplinary team of scientists, comprising molecular biologists, biochemists, mathematicians and computer scientists will work together and use Systems Biology to study the response of a bacterium to oxygen in its environment. The bacterium is E. coli, a major model organism, study of which has provided much of our current knowledge of basic molecular biology and continues to be the workhorse of the biotechnology sector. The Systems Biology approach to research is a relatively new area of investigation that tries to understand entire biological processes or systems (such as an organism and its behaviour), rather than merely the components of the system (such as atoms, molecules, and individual reactions). In effect, Systems Biology attempts to 'put Humpty Dumpty together again'. Systems Biology can be used to simulate biological processes and predict the outcome of perturbing the system, even before experiments are carried out. This ability to predict leads to the design of more meaningful experiments. We aim to obtain a complete, quantitative description of the metabolism of this bacterium, i.e. understand how carbon foodstuffs are broken down and used to generate energy in fermentation and respiration. The expected results are as follows. (1) Complex experimental results describing: (a) the dynamics of gene expression during the change from fermentative to anaerobic (i.e. without oxygen) respiratory growth; (b) the dynamics of responses to pulses of oxidants (oxygen and chemically related molecules); (c) the effects of mutation of substrate transport processes on physiology under defined aerobiosis conditions (i.e. in air); (d) effects of perturbation of central metabolism by mutation and by switching carbon source; (e) the role of a branched respiratory chain in adapting when conditions change. (2) Multi-scale, multi-level mathematical models describing: (a) the dynamics of gene regulatory networks during perturbations of anaerobic cultures; (b) the regulatory consequences of dynamics within complex networks of gene regulation processes; (c) the regulatory mechanisms of gene promoters; (d) catabolism (break-down) of foodstuffs from their entry into the cell right through to energy generation, including anaerobic pathways; (e) the regulation and action of alternative respiratory chains; (f) single-cell dynamics and cell behaviour in unstable conditions. (3) The formulation of a predictive, quantitative, experimentally validated model of the integrated metabolic sub-systems of E. coli and how these respond to changes in internal and external signals.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
Approximate Inference in Latent Diffusion Processes from Continuous Time Observations
根据连续时间观测对潜在扩散过程进行近似推断
DOI:
--
发表时间:
期刊:
影响因子:
--
作者:
[Botond Cseke (Author)]
通讯作者:
Botond Cseke (Author)
DOI:
10.1080/01621459.2015.1115357
发表时间:
2017
期刊:
Journal of the American Statistical Association
影响因子:
3.7
作者:
[Cseke B]
通讯作者:
Cseke B
DOI:
10.1186/1471-2164-14-826
发表时间:
2013-11-24
期刊:
BMC genomics
影响因子:
4.4
作者:
[Schweikert G, Cseke B, Clouaire T, Bird A, Sanguinetti G]
通讯作者:
Sanguinetti G
Large scale spatio-temporal point processes: novel machine learning methodologies and application to neural multi-electrode arrays.
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批准号:EP/L027208/1
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项目类别:Research Grant
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资助金额:$34.23万
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财政年份:2014
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负责人:Guido Sanguinetti
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依托单位:
Computational reconstruction of stochastic regulation: from transcriptional modules to network remodelling
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项目类别:Research Grant
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资助金额:$4.73万
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财政年份:2011
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负责人:Guido Sanguinetti
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依托单位:
Advancing Machine Learning Methodology for New Classes of Prediction Problems
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批准号:EP/F009461/2
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项目类别:Research Grant
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负责人:Guido Sanguinetti
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依托单位:
Carbon monoxide and metal carbonyl CO-releasing molecules (CORMs) as novel antimicrobial agents - a systems approach to cellular targets and effects
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批准号:BB/H01702X/1
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项目类别:Research Grant
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资助金额:$34.49万
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财政年份:2010
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负责人:Guido Sanguinetti
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依托单位:
Advancing Machine Learning Methodology for New Classes of Prediction Problems
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批准号:EP/F009461/1
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项目类别:Research Grant
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资助金额:$10.89万
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财政年份:2008
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负责人:Guido Sanguinetti
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依托单位:
国内基金
海外基金
Navigating Sustainability: Understanding Environm ent,Social and Governanc e Challenges and Solution s for Chinese Enterprises
in Pakistan's CPEC Framew
ork
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资助金额:--
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批准号:
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批准号:12005059
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项目类别:青年科学基金项目
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批准年份:2020
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负责人:国分隆文
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依托单位: