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Towards predictive biology: using stress responses in a bacterial pathogen to link molecular state to phenotype.

Towards predictive biology: using stress responses in a bacterial pathogen to link molecular state to phenotype.
走向预测生物学:利用细菌病原体的应激反应将分子状态与表型联系起来。
批准号:
BB/K019171/1
负责人:
Peter Lund
金额:
$40.87万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2013
资助国家:
英国
项目状态:
已结题
起止时间:
2013 至 --

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中文摘要
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英文摘要
A "Holy Grail" in biology is to deduce how an organism will behave under different conditions (its phenotype) from knowledge of its genetic make-up and how its genes are expressed. This is not yet possible, but this proposal will move us towards this goal, using bacteria as a model system. There are several reasons why we want to be able to do this. First, we want to understand disease-causing bacteria better, so as to protect both ourselves and our food against their harmful effects better than we can do at the moment. Second, we use bacteria a lot in industry and our ability to do this will improve if we can predict in detail how they will behave under industrial conditions. Third, as biology moves towards a more synthetic approach where organisms are engineered to have specific functions, we need to understand how they will survive and thrive in different conditions. This project focusses on bacteria that cause disease, but the methods that we will develop will be applicable in many other situations. Animals, including humans, have many barriers against bacterial infection, but bacteria are resilient and adaptable and can evade some or all of these, and go on to cause disease. To understand how they are able to do this, we need to understand in much more detail the underlying biology of these organisms under the conditions that exist in our gut. Fortunately, novel methods have been devised that allow us to do this, and this proposal will apply these. For some years, we have been able to make mutations which prevent particular genes from working and use bacteria carrying these mutations to study which genes are needed for survival when bacteria are exposed to stress. We've also known how to study the way in which a particular gene is turned up or down as the external conditions change. But now, it is possible to take a very large mixture of bacteria, containing hundreds of thousands of different mutations, expose all these bacteria to many different stresses, and see how well each mutant survives each stress. This can be done in just a few experiments. We can also study how every single gene in the bacterium is responding to the stress over time, again in a few experiments. Furthermore, we can use this information to construct computer models of how all the genes which respond to the different stresses in the bacteria are connected together. This is like going from a list of addresses in a phone book to a complete map of the streets and houses in a town. The first maps that we construct using this method may not be completely correct, but we can use experiments to check the maps in detail, refining each region until it truly represents what goes on inside the bacterial cell. This is what we will do in this project. We will use the models constructed to make predictions about how bacteria will survive under different conditions, like in a particular part of the gut, and which genes will be important in helping them do this. We will specifically test our ability to make accurate predictions as part of this project. Ultimately, this should help us to predict the vulnerabilities of any pathogenic bacterium, and to use this knowledge to devise novel strategies to protect us from their potentially lethal effects.
期刊论文(8)
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科研奖励(0)
会议论文
DOI: 10.3390/genes12010053
发表时间: 2020-12-31
期刊: Genes
影响因子: 3.5
作者: [Bushell F, Herbert JMJ, Sannasiddappa TH, Warren D, Turner AK, Falciani F, Lund PA]
通讯作者: Lund PA
DOI: 10.1128/mbio.02096-17
发表时间: 2018-02-20
期刊: mBio
影响因子: 6.4
作者: [Goodall ECA, Robinson A, Johnston IG, Jabbari S, Turner KA, Cunningham AF, Lund PA, Cole JA, Henderson IR]
通讯作者: Henderson IR
In Vitro Antibacterial Activity of Unconjugated and Conjugated Bile Salts on Staphylococcus aureus.
金黄色葡萄球菌上未缀合和共轭胆汁盐的体外抗菌活性。
DOI: 10.3389/fmicb.2017.01581
发表时间: 2017
期刊: Frontiers in microbiology
影响因子: 5.2
作者: [Sannasiddappa TH, Lund PA, Clarke SR]
通讯作者: Clarke SR
A Bayesian Non-parametric Mixed-Effects Model of Microbial Phenotypes
微生物表型的贝叶斯非参数混合效应模型
DOI: 10.1101/793174
发表时间: 2019
期刊:
影响因子: --
作者: [Tonner P]
通讯作者: Tonner P
Mycobacterial chaperonins as potential targets for new therapeutic approaches to tuberculosis
  • 批准号:
    BB/V018302/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $1.26万
  • 财政年份:
    2021
  • 负责人:
    Peter Lund
  • 依托单位:
A zebrafish model to study the role of chaperonins in Mycobacterial infection
  • 批准号:
    BB/S017526/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $61.6万
  • 财政年份:
    2019
  • 负责人:
    Peter Lund
  • 依托单位:
Functional in vivo and in vitro analysis of the archaeal chaperonin complex
  • 批准号:
    BB/F002483/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $43.94万
  • 财政年份:
    2007
  • 负责人:
    Peter Lund
  • 依托单位:
海外基金