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使用网络生物学方法分析多种细菌病原体中的应激反应。

Analysis of stress response in multiple bacterial pathogens using a network biology approach.

作者信息

Sharma Anjali, Tayal Sonali, Bhatnagar Sonika

机构信息

Computational and Structural Biology Laboratory, Department of Biological Sciences and Engineering, Netaji Subhas University of Technology, Dwarka, New Delhi, 110078, India.

出版信息

Sci Rep. 2025 May 2;15(1):15342. doi: 10.1038/s41598-025-91269-5.

Abstract

Stress response in bacterial pathogens promotes adaptation, virulence and antibiotic resistance. In this study, a network approach is applied to identify the common central mediators of stress response in five emerging opportunistic pathogens; Enterococcus faecium Aus0004, Staphylococcus aureus subsp. aureus USA300, Klebsiella pneumoniae MGH 78,578, Pseudomonas aeruginosa PAO1, and Mycobacterium tuberculosis H37Rv. A Protein-protein interaction network (PPIN) was constructed for each stressor using Cytoscape3.7.1 from the differentially expressed genes obtained from Gene expression omnibus datasets. A merged PPIN was constructed for each bacterium. Hub-bottlenecks in each network were the central stress response proteins and common pathways enriched in stress response were identified using KOBAS3.0. 31 hub-bottlenecks were common to each individual stress response, merged networks in all five pathogens and an independent cross stress (CS) response dataset of Escherichia coli. The 31 central nodes are in the RpoS mediated general stress regulon and also regulated by other stress response systems. Analysis of the 20 common metabolic pathways modulating stress response in all five bacteria showed that carbon metabolism pathway had the highest crosstalk with other pathways like amino acid biosynthesis and purine metabolism pathways. The central proteins identified can serve as targets for novel wide-spectrum antibiotics to overcome multidrug resistance.

摘要

细菌病原体中的应激反应促进适应性、毒力和抗生素抗性。在本研究中,应用网络方法来识别五种新兴机会性病原体应激反应的共同核心介质;即粪肠球菌Aus0004、金黄色葡萄球菌亚种金黄色葡萄球菌USA300、肺炎克雷伯菌MGH 78578、铜绿假单胞菌PAO1和结核分枝杆菌H37Rv。使用Cytoscape3.7.1从基因表达综合数据集中获得的差异表达基因构建每个应激源的蛋白质-蛋白质相互作用网络(PPIN)。为每种细菌构建一个合并的PPIN。每个网络中的枢纽瓶颈是核心应激反应蛋白,并使用KOBAS3.0识别应激反应中富集的共同途径。31个枢纽瓶颈在每种个体应激反应、所有五种病原体的合并网络以及大肠杆菌的独立交叉应激(CS)反应数据集中都很常见。这31个中心节点位于RpoS介导的一般应激调节子中,并且也受其他应激反应系统调节。对所有五种细菌中调节应激反应的20条常见代谢途径的分析表明,碳代谢途径与氨基酸生物合成和嘌呤代谢途径等其他途径的串扰最高。所鉴定的核心蛋白可作为新型广谱抗生素的靶点,以克服多重耐药性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1ac/12048639/1c96f11d4a0d/41598_2025_91269_Fig1_HTML.jpg

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