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定量蛋白质组学揭示了临床分离株对抗菌治疗的独特反应。

Quantitative proteomics reveals unique responses to antimicrobial treatments in clinical isolates.

机构信息

Department of Molecular and Cellular Biology, University of Guelph , Guelph, Ontario, Canada.

Bioinformatics Solutions, Inc , Waterloo, Ontario, Canada.

出版信息

mSystems. 2023 Oct 26;8(5):e0049123. doi: 10.1128/msystems.00491-23. Epub 2023 Aug 25.

DOI:10.1128/msystems.00491-23
PMID:37623324
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10654054/
Abstract

is an important pathogen often associated with hospital-acquired infections and chronic lung infections in people with cystic fibrosis. possesses a wide array of intrinsic and adaptive mechanisms of antibiotic resistance, and the regulation of these mechanisms is complex. Label-free quantitative proteomics is a powerful tool to compare susceptible and resistant strains of bacteria and their responses to antibiotic treatments. Here we compare the proteomes of three isolates of with different antibiotic resistance profiles in response to five challenge conditions. We uncover unique and shared proteome changes for the widely used laboratory strain PAO1 and two isolates of the Liverpool epidemic strain of , LESlike1 and LESB58. Our data set provides insight into antibiotic resistance in clinically relevant isolates and highlights proteins, including those with uncharacterized functions, which can be further investigated for their role in adaptive responses to antibiotic treatments.

摘要

是一种重要的病原体,常与医院获得性感染和囊性纤维化患者的慢性肺部感染有关。它具有广泛的内在和适应性抗生素耐药机制,这些机制的调节非常复杂。无标记定量蛋白质组学是比较敏感和耐药细菌及其对抗生素治疗反应的有力工具。在这里,我们比较了三种不同抗生素耐药谱的 分离株在五种挑战条件下的蛋白质组。我们发现了广泛使用的实验室菌株 PAO1 和两种利物浦流行株 LESlike1 和 LESB58 的独特和共同的蛋白质组变化。我们的数据集提供了对临床相关 分离株抗生素耐药性的深入了解,并强调了一些蛋白质,包括那些功能尚未确定的蛋白质,可以进一步研究它们在对抗生素治疗的适应性反应中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a79d/10654054/da3c67f03902/msystems.00491-23.f007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a79d/10654054/273a1be063ad/msystems.00491-23.f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a79d/10654054/ae4a8724abec/msystems.00491-23.f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a79d/10654054/58b38630ea00/msystems.00491-23.f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a79d/10654054/3357aed8f357/msystems.00491-23.f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a79d/10654054/7fec61adbdf6/msystems.00491-23.f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a79d/10654054/4d4c0f614c87/msystems.00491-23.f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a79d/10654054/da3c67f03902/msystems.00491-23.f007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a79d/10654054/273a1be063ad/msystems.00491-23.f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a79d/10654054/ae4a8724abec/msystems.00491-23.f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a79d/10654054/58b38630ea00/msystems.00491-23.f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a79d/10654054/3357aed8f357/msystems.00491-23.f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a79d/10654054/7fec61adbdf6/msystems.00491-23.f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a79d/10654054/4d4c0f614c87/msystems.00491-23.f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a79d/10654054/da3c67f03902/msystems.00491-23.f007.jpg

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