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一种全面捕获蛋白质组的简化方法。

A Simplified Method for Comprehensive Capture of the Proteome.

作者信息

Mustor Emilee M, Wohlfahrt Jessica, Guergues Jennifer, Stevens Stanley M, Shaw Lindsey Neil

机构信息

Department of Molecular Biosciences, University of South Florida, Tampa, FL, USA.

Center for Antimicrobial Resistance, University of South Florida, Tampa, FL, USA.

出版信息

bioRxiv. 2024 Aug 7:2024.08.07.607079. doi: 10.1101/2024.08.07.607079.

DOI:10.1101/2024.08.07.607079
PMID:39149396
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11326305/
Abstract

is a major human pathogen causing myriad infections in both community and healthcare settings. Although well studied, a comprehensive exploration of its dynamic and adaptive proteome is still somewhat lacking. Herein, we employed streamlined liquid- and gas-phase fractionation with PASEF analysis on a TIMS-TOF instrument to expand coverage and explore the dark proteome. In so doing, we captured the most comprehensive proteome to date, totaling 2,231 proteins (85.6% coverage), using a significantly simplified process that demonstrated high reproducibility with minimal input material. We then showcase application of this library for differential expression profiling by investigating temporal dynamics of the proteome. This revealed alterations in metabolic processes, ATP production, RNA processing, and stress-response proteins as cultures progressed to stationary growth. Notably, a significant portion of the library (94%) and proteome (80.5%) was identified by this single-shot, DIA-based analysis. Overall, our study shines new light on the hidden proteome, generating a valuable new resource to facilitate further study of this dangerous pathogen.

摘要

是一种主要的人类病原体,在社区和医疗环境中都会引发无数感染。尽管已得到充分研究,但对其动态和适应性蛋白质组的全面探索仍有所欠缺。在此,我们在TIMS-TOF仪器上采用简化的液相和气相分级分离结合PASEF分析,以扩大覆盖范围并探索暗蛋白质组。通过这样做,我们使用一个显著简化的过程捕获了迄今为止最全面的蛋白质组,共2231种蛋白质(覆盖率85.6%),该过程显示出高重现性且所需输入材料极少。然后,我们通过研究蛋白质组的时间动态,展示了该文库在差异表达谱分析中的应用。这揭示了随着培养进入稳定期生长,代谢过程、ATP产生、RNA加工和应激反应蛋白的变化。值得注意的是,通过这种基于DIA的单次分析鉴定出了文库的很大一部分(94%)和蛋白质组的80.5%。总体而言,我们的研究为隐藏的蛋白质组带来了新的认识,生成了一个有价值的新资源,以促进对这种危险病原体的进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79c/11326305/557c42cdd138/nihpp-2024.08.07.607079v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79c/11326305/2530ed4a6d5e/nihpp-2024.08.07.607079v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79c/11326305/e308966bb8d4/nihpp-2024.08.07.607079v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79c/11326305/557c42cdd138/nihpp-2024.08.07.607079v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79c/11326305/2530ed4a6d5e/nihpp-2024.08.07.607079v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79c/11326305/e308966bb8d4/nihpp-2024.08.07.607079v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79c/11326305/557c42cdd138/nihpp-2024.08.07.607079v1-f0003.jpg

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本文引用的文献

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Enhancement of Proteome Coverage by Ion Mobility Fractionation Coupled to PASEF on a TIMS-QTOF Instrument.离子淌度分离与 TIMS-QTOF 上的 PASEF 联用增强蛋白质组覆盖度。
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Nat Commun. 2022 Jul 8;13(1):3944. doi: 10.1038/s41467-022-31492-0.
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Trapped Ion Mobility Spectrometry Reduces Spectral Complexity in Mass Spectrometry-Based Proteomics.
囚禁离子淌度质谱在基于质谱的蛋白质组学中降低了光谱复杂性。
Anal Chem. 2021 Dec 21;93(50):16751-16758. doi: 10.1021/acs.analchem.1c01399. Epub 2021 Dec 9.
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The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences.PRIDE 数据库资源在 2022 年:一个基于质谱的蛋白质组学证据的中心。
Nucleic Acids Res. 2022 Jan 7;50(D1):D543-D552. doi: 10.1093/nar/gkab1038.
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DNA Repair in .DNA 修复在 …… 中。
Microbiol Mol Biol Rev. 2021 Dec 15;85(4):e0009121. doi: 10.1128/MMBR.00091-21. Epub 2021 Sep 15.
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Trapped Ion Mobility Spectrometry and Parallel Accumulation-Serial Fragmentation in Proteomics.离子阱淌度质谱技术及其在蛋白质组学中的平行累积-串联碎裂。
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Deep learning the collisional cross sections of the peptide universe from a million experimental values.从一百万个实验值中深度学习肽宇宙的碰撞截面。
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High Throughput. 2019 Mar 27;8(2):8. doi: 10.3390/ht8020008.