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Metal-sensing in Salmonella: A model for targeting a network that differentiates metals

Metal-sensing in Salmonella: A model for targeting a network that differentiates metals
沙门氏菌金属传感:针对区分金属的网络的模型
批准号:
BB/J017787/1
负责人:
Nigel Robinson
金额:
$68.49万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2012
资助国家:
英国
项目状态:
已结题
起止时间:
2012 至 --

项目摘要

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中文摘要
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英文摘要
Metals have been used to control microbes in agriculture, food handling, domestic hygiene, medicine and more broadly as an additive to preserve perishables. The industrial partner, Procter and Gamble, have on-going programmes to develop new metal-based biocides to replace existing preservatives and to increase the efficacy of current metal-based anti-microbials (ensuring compliance with shifting legislative guidelines). Ionophores can help minimise the amount of metal added to products and there is interest in using more subtle combinations of metals and/or chelators. Historically, the exploitation of metals has been empirical but the discovery of natural metal-based antimicrobial mechanisms and of bacterial systems that sense and adapt to metals, presents opportunities to improve these additives through mimicry and subversion respectively.Metals are implicated in several natural anti-microbial mechanisms. For example hosts and pathogens have evolved to compete for iron. Copper is pumped into the phagolysosomal compartment of macrophages about eight hours post infection most probably as a biocide to drive the Fenton reaction. Neutrophils are thought to starve microbes of zinc and manganese by releasing the metal-binding protein calprotectin. Bacteria (in common with all other types of cells) have evolved elaborate homeostatic mechanisms to balance the buffered intracellular concentrations of various metals within critical thresholds; critical to ensure that vast numbers of metalloproteins acquire their correct metal-cofactors. Central to such metal homeostasis is a set of metal-sensing proteins that detect when the buffered limits have been exceeded. The sensors trigger expression of proteins that restore the correct metal-balance. Having discovered bacterial metal-sensors and identified properties that determine which metals they 'can' sense in vitro, the next step is to investigate how metal-specificity in vivo (the metals the sensors 'do' sense inside cells) is a shared function of a set of metal-sensors. We will begin to model the network of interactions between the different sensor proteins. This programme will explore a fundamental question central to the cell biology of metals, coincidentally providing insight needed to formulate additives that subvert bacterial metal-sensing networks.
期刊论文(7)
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会议论文
DOI: 10.1038/s41467-017-02085-z
发表时间: 2017-12-01
期刊: Nature communications
影响因子: 16.6
作者: [Osman D, Foster AW, Chen J, Svedaite K, Steed JW, Lurie-Luke E, Huggins TG, Robinson NJ]
通讯作者: Robinson NJ
Finding the right match
寻找合适的匹配
DOI: 10.1038/s41570-019-0083-5
发表时间: 2019
期刊: Nature Reviews Chemistry
影响因子: 36.3
作者: [Schilter D]
通讯作者: Schilter D
DOI: 10.1074/jbc.m115.663427
发表时间: 2015-08-07
期刊: The Journal of biological chemistry
影响因子: --
作者: [Osman D, Piergentili C, Chen J, Chakrabarti B, Foster AW, Lurie-Luke E, Huggins TG, Robinson NJ]
通讯作者: Robinson NJ
DOI: 10.1074/jbc.r114.588145
发表时间: 2014-10-10
期刊: The Journal of biological chemistry
影响因子: --
作者: [Foster AW, Osman D, Robinson NJ]
通讯作者: Robinson NJ
Understanding mis-metalation of native versus heterologously expressed protein
  • 批准号:
    BB/W015749/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $58.16万
  • 财政年份:
    2022
  • 负责人:
    Nigel Robinson
  • 依托单位:
A calculator for metalation inside a cell
  • 批准号:
    BB/V006002/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $63.79万
  • 财政年份:
    2021
  • 负责人:
    Nigel Robinson
  • 依托单位:
Elements of Bioremediation, Biomanufacturing & Bioenergy (E3B): Metals in Biology
  • 批准号:
    BB/S009787/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $143.08万
  • 财政年份:
    2019
  • 负责人:
    Nigel Robinson
  • 依托单位:
METALLOCHAPERONES: The partitioning of metals to delivery pathways
  • 批准号:
    BB/R002118/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $51.63万
  • 财政年份:
    2017
  • 负责人:
    Nigel Robinson
  • 依托单位:
国内基金
海外基金
WiFi环境下基于RNN-LSTM的人体行为识别技术研究
Identification and quantification of primary phytoplankton functional types in the global oceans from hyperspectral ocean color remote sensing
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    160万元
  • 批准年份:
    2022
  • 负责人:
    李忠平
  • 依托单位:
QS-Rot协同在调控ST121金葡菌株强致病性中的作用与机制
Glis1调控小鼠多能胚胎干细胞重编程为全能性二细胞样细胞的机理研究
  • 批准号:
    32100619
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    李林鹏
  • 依托单位: