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利用细胞活力来绘制主要易化超家族外排泵的结构和功能图谱。

Using cellular fitness to map the structure and function of a major facilitator superfamily effluxer.

机构信息

Department of Biosciences, Rice University, Houston, TX, USA.

Department of Applied Mathematics & Statistics, University of California, Santa Cruz, CA, USA.

出版信息

Mol Syst Biol. 2017 Dec 22;13(12):964. doi: 10.15252/msb.20177635.

DOI:10.15252/msb.20177635
PMID:29273640
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5740499/
Abstract

The major facilitator superfamily (MFS) effluxers are prominent mediators of antimicrobial resistance. The biochemical characterization of MFS proteins is hindered by their complex membrane environment that makes biochemical analysis challenging. Since the physicochemical properties of proteins drive the fitness of an organism, we posed the question of whether we could reverse that relationship and derive meaningful biochemical parameters for a single protein simply from fitness changes it confers under varying strengths of selection. Here, we present a physiological model that uses cellular fitness as a proxy to predict the biochemical properties of the MFS tetracycline efflux pump, TetB, and a family of single amino acid variants. We determined two lumped biochemical parameters roughly describing and for TetB and variants. Including protein levels into our model allowed for more specified prediction of pump parameters relating to substrate binding affinity and pumping efficiency for TetB and variants. We further demonstrated the general utility of our model by solely using fitness to assay a library of variants and estimate their biochemical properties.

摘要

主要易化超家族(MFS)外排泵是抗菌药物耐药性的主要介导者。由于其复杂的膜环境,使得生化分析具有挑战性,因此 MFS 蛋白的生化特征难以确定。由于蛋白质的理化性质决定了生物体的适应性,我们提出了这样一个问题:我们是否可以逆转这种关系,并根据它在不同选择压力下赋予的适应性变化,为单个蛋白质推导出有意义的生化参数。在这里,我们提出了一个生理模型,该模型使用细胞适应性作为替代物来预测 MFS 四环素外排泵 TetB 和一系列单个氨基酸变体的生化特性。我们确定了两个大致描述 TetB 和变体的聚集生化参数。将 蛋白水平纳入我们的模型,使得可以更具体地预测 TetB 和变体与底物结合亲和力和泵送效率相关的泵参数。我们通过仅使用适应性来测定一个包含 个变体的文库并估计它们的生化特性,进一步证明了我们模型的通用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f97/5740499/adfe20b9e5eb/MSB-13-964-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f97/5740499/606bbafb745f/MSB-13-964-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f97/5740499/043e75157bb2/MSB-13-964-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f97/5740499/388420cb7766/MSB-13-964-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f97/5740499/12eaa1d97dbe/MSB-13-964-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f97/5740499/c785f1f388a0/MSB-13-964-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f97/5740499/7a66425cd55c/MSB-13-964-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f97/5740499/adfe20b9e5eb/MSB-13-964-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f97/5740499/606bbafb745f/MSB-13-964-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f97/5740499/043e75157bb2/MSB-13-964-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f97/5740499/388420cb7766/MSB-13-964-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f97/5740499/12eaa1d97dbe/MSB-13-964-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f97/5740499/c785f1f388a0/MSB-13-964-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f97/5740499/7a66425cd55c/MSB-13-964-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f97/5740499/adfe20b9e5eb/MSB-13-964-g008.jpg

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本文引用的文献

1
Relation between tetR and tetA expression in tetracycline resistant Escherichia coli.四环素抗性大肠杆菌中tetR与tetA表达之间的关系。
BMC Microbiol. 2016 Mar 12;16:39. doi: 10.1186/s12866-016-0649-z.
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Insight into determinants of substrate binding and transport in a multidrug efflux protein.深入了解多药外排蛋白中底物结合和转运的决定因素。
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Biophysical principles predict fitness landscapes of drug resistance.生物物理原理预测耐药性的适应度景观。
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Quantitative proteomic analysis reveals a simple strategy of global resource allocation in bacteria.定量蛋白质组学分析揭示了细菌中全局资源分配的一种简单策略。
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