色谱 ›› 2025, Vol. 43 ›› Issue (5): 529-538.DOI: 10.3724/SP.J.1123.2024.10028

• 研究论文 • 上一篇    下一篇

细菌外膜囊泡亚群的分离与蛋白质组学分析

尤柏儒, 邹迅, 吴言, 李荪涛, 肖华()   

  1. 微生物代谢全国重点实验室, 上海交通大学生命科学技术学院, 上海 200240
  • 收稿日期:2024-10-25 出版日期:2025-05-08 发布日期:2025-05-07
  • 通讯作者: *Tel:(021)34206379,E-mail:huaxiao@sjtu.edu.cn.
  • 基金资助:
    国家自然科学基金(22374098);上海市自然科学基金(23ZR1434200)

Isolation and proteomic analysis of bacterial outer membrane vesicle subpopulations

YU Poju, ZOU Xun, WU Yan, LI Suntao, XIAO Hua()   

  1. State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2024-10-25 Online:2025-05-08 Published:2025-05-07
  • Supported by:
    National Natural Science Foundation of China(22374098);Natural Science Foundation of Shanghai(23ZR1434200)

摘要:

外膜囊泡(OMVs)是革兰氏阴性细菌分泌的20~400 nm的具膜囊泡状小体,在毒性物质传递和免疫逃逸等过程中发挥重要功能。尽管许多研究已经揭示了OMVs的关键作用,但是OMVs自身存在的异质性限制了我们对其蛋白质组成和功能的深入研究。因此,对OMVs异质性亚群的组成及其生物学功能开展研究具有重要意义。本研究采用超速离心结合密度梯度离心,对大肠杆菌DH5α和铜绿假单胞菌PAO1分泌的OMVs进行了系统的分离和表征,并结合定量蛋白质组学技术对其进行了全面分析。首先,我们对超速离心得到的两种菌株OMVs粗提物进行了碘克沙醇密度梯度离心,得到了F1~F6 6个组分。接着,通过纳米颗粒追踪分析,确认了DH5α-OMVs和PAO1-OMVs粒径分布,DH5α-OMVs各亚群的平均粒径为131.0~161.0 nm, PAO1-OMVs各亚群的平均粒径为140.0~169.0 nm;通过透射电子显微镜观察到囊泡呈经典的茶托结构;蛋白质的银染和免疫印迹结果共同验证了密度梯度组分中OMVs亚群的分布,同时确定了DH5α-OMVs和PAO1-OMVs亚群的有效组分分别为F1a~F4a和F1b~F5b。然后,我们从DH5α-OMVs和PAO1-OMVs的各亚群中分别鉴定到2388种和905种蛋白质。通过k-means聚类和基因本体(GO)富集分析,我们揭示了不同密度亚群在能量代谢、物质运输、核糖体合成等生物学功能上的异质性。最后,通过对大肠杆菌DH5α-OMVs和铜绿假单胞菌PAO1-OMVs亚群的比较分析,我们发现两种菌株虽然在OMVs的基本功能上具有共性,但在各自的亚群中也展现出了不同的功能特征。DH5α-OMVs的F1a亚群富集了与氨基酸代谢和蛋白质合成相关的功能,而PAO1的F2b亚群则表现出显著的生物大分子合成功能。本研究揭示了细菌OMVs亚群具有不同的生物学功能,进而为理解细菌的致病机制和与宿主的相互作用提供新的理论基础,有利于拓展其生物学应用。

关键词: 外膜囊泡亚群, 大肠杆菌, 铜绿假单胞菌, 密度梯度离心, 蛋白质组学

Abstract:

Outer membrane vesicles (OMVs) are 20-400 nm in size, membrane-bound, and secreted by gram-negative bacteria. OMVs play important roles in processes such as toxin delivery and immune evasion. Although many studies have revealed the critical roles played by OMVs, their heterogeneity has limited our ability to attain a comprehensive understanding of their protein compositions and functions. Therefore, studying the compositions of heterogeneous OMVs subpopulations and their biological functions is important. Herein, we used ultracentrifugation combined with density-gradient centrifugation and quantitative proteomics to systematically separate, characterize, and comprehensively analyze OMVs secreted by Escherichia coli DH5α and Pseudomonas aeruginosa PAO1. First, crude OMVs extracts from both strains were obtained by ultracentrifugation and subjected to iodixanol density-gradient centrifugation to afford six fractions each. DH5α-OMVs and PAO1-OMVs particle-size distributions were then determined via nanoparticle tracking analysis, with average particle sizes of 131.0-161.0 and 140.0-169.0 nm determined for the two subpopulation, respectively. Vesicles were observed to have classical chattel structures by transmission electron microscopy. OMVs subpopulation distributions in the density-gradated fractions were determined by silver staining and protein immunoblotting, which also identified F1a-F4a and F1b-F5b as the effective DH5α-OMVs and PAO1-OMVs subpopulation fractions, respectively. We then identified 2388 and 905 proteins from the DH5α-OMVs and PAO1-OMVs subpopulation, respectively, and used k-means clustering and gene ontology (GO) enrichment analyses to reveal the heterogeneities of the various density subpopulations in terms of biological functions, such as energy metabolism, material transport and ribosome synthesis. Comparative analysis of the E. coli DH5α-OMVs and P. aeruginosa PAO1-OMVs subpopulations finally revealed that they exhibit different functional characteristics, despite sharing commonalities in their basic OMVs functions. The F1a DH5α-OMVs subpopulation was found to be enriched for functions related to amino-acid metabolism and protein synthesis, while the F2b PAO1-OMVs subpopulation exhibited significant biomolecule synthesis functions. This study revealed that bacterial OMVs subpopulations have distinct biological functions, which in turn provides a new theoretical basis for understanding the pathogenic mechanisms of bacteria and their interactions with the host, thereby expanding their biological applications.

Key words: outer membrane vesicle subpopulation, Escherichia coli, Pseudomonas aeruginosa, density gradient centrifugation, proteomics

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