基于 SWATH-MS 的铜绿假单胞菌与 MRSA 的分泌组蛋白质组分析。

IF 3.4 4区生物学 Q2 BIOCHEMICAL RESEARCH METHODS

Proteomics Pub Date : 2024-10-17 DOI:10.1002/pmic.202300649

Yi-Feng Zheng, Yu-Sheng Lin, Jing-Wen Huang, Kuo-Tung Tang, Cheng-Yu Kuo, Wei-Chen Wang, Han-Ju Chien, Chih-Jui Chang, Nien-Jen Hu, Chien-Chen Lai

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引用次数: 0

摘要

该研究利用序列窗口获取所有理论碎片离子质谱（SWATH）-MS 与分泌组蛋白质组学相结合的方法，确定了铜绿假单胞菌分泌的抗耐甲氧西林金黄色葡萄球菌（MRSA）的关键蛋白质。抑制区的变化表明菌株的耐药性存在差异。应用多元统计方法对蛋白质组结果进行筛选，发现了包括肽酶 M23 在内的五个潜在蛋白质生物标记物。基因本体（GO）分析和序列比对支持了它们的抗菌活性。因此，SWATH-MS 提供了对铜绿假单胞菌抗 MRSA 作用的分泌组的全面了解，为未来的抗菌研究提供了指导。

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SWATH-MS Based Secretome Proteomic Analysis of Pseudomonas aeruginosa Against MRSA.

The study uses Sequential Window Acquisition of All Theoretical Fragment Ion Mass Spectra (SWATH)-MS in conjunction with secretome proteomics to identify key proteins that Pseudomonas aeruginosa secretes against methicillin-resistant Staphylococcus aureus (MRSA). Variations in the inhibition zones indicated differences in strain resistance. Multivariate statistical methods were applied to filter the proteomic results, revealing five potential protein biomarkers, including Peptidase M23. Gene ontology (GO) analysis and sequence alignment supported their antibacterial activity. Thus, SWATH-MS provides a comprehensive understanding of the secretome of P. aeruginosa in its action against MRSA, guiding future antibacterial research.

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来源期刊

Proteomics 生物-生化研究方法

CiteScore

6.30

自引率

5.90%

发文量

193

审稿时长

3 months

期刊介绍： PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.