• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

用于人类粪便宏蛋白质组学的低通量和高通量蛋白质清除和消化方法的基准测试。

Benchmarking low- and high-throughput protein cleanup and digestion methods for human fecal metaproteomics.

机构信息

Department of Biomedical Sciences, University of Sassari, Sassari, Italy.

Unit of Microbiology and Virology, University Hospital of Sassari, Sassari, Italy.

出版信息

mSystems. 2024 Jul 23;9(7):e0066124. doi: 10.1128/msystems.00661-24. Epub 2024 Jun 27.

DOI:10.1128/msystems.00661-24
PMID:38934547
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11265449/
Abstract

The application of fecal metaproteomics to large-scale studies of the gut microbiota requires high-throughput analysis and standardized experimental protocols. Although high-throughput protein cleanup and digestion methods are increasingly used in shotgun proteomics, no studies have yet critically compared such protocols using human fecal samples. In this study, human fecal protein extracts were processed using several different protocols based on three main approaches: filter-aided sample preparation (FASP), solid-phase-enhanced sample preparation (SP3), and suspension trapping (S-Trap). These protocols were applied in both low-throughput (i.e., microtube-based) and high-throughput (i.e., microplate-based) formats, and the final peptide mixtures were analyzed by liquid chromatography coupled to high-resolution tandem mass spectrometry. The FASP-based methods and the combination of SP3 with in-StageTips (iST) yielded the best results in terms of the number of peptides identified through a database search against gut microbiome and human sequences. The efficiency of protein digestion, the ability to preserve hydrophobic peptides and high molecular weight proteins, and the reproducibility of the methods were also evaluated for the different protocols. Other relevant variables, including interindividual variability of stool, duration of protocols, and total costs, were considered and discussed. In conclusion, the data presented here can significantly contribute to the optimization and standardization of sample preparation protocols in human fecal metaproteomics. Furthermore, the promising results obtained with the high-throughput methods are expected to encourage the development of automated workflows and their application to large-scale gut microbiome studies.IMPORTANCEFecal metaproteomics is an experimental approach that allows the investigation of gut microbial functions, which are involved in many different physiological and pathological processes. Standardization and automation of sample preparation protocols in fecal metaproteomics are essential for its application in large-scale studies. Here, we comparatively evaluated different methods, available also in a high-throughput format, enabling two key steps of the metaproteomics analytical workflow (namely, protein cleanup and digestion). The results of our study provide critical information that may be useful for the optimization of metaproteomics experimental pipelines and their implementation in laboratory automation systems.

摘要

粪便宏蛋白质组学在大规模肠道微生物组研究中的应用需要高通量分析和标准化的实验方案。尽管在鸟枪法蛋白质组学中越来越多地使用高通量蛋白质纯化和消化方法,但迄今为止,还没有研究对使用人类粪便样本的此类方案进行严格比较。在这项研究中,使用基于三种主要方法的几种不同方案处理人类粪便蛋白质提取物:滤过辅助样品制备(FASP)、固相增强样品制备(SP3)和悬浮捕获(S-Trap)。这些方案分别在低通量(即基于微量管)和高通量(即基于微孔板)格式中应用,并通过液相色谱与高分辨率串联质谱联用分析最终的肽混合物。基于 FASP 的方法和 SP3 与 In-StageTips(iST)的组合在通过数据库搜索针对肠道微生物组和人类序列鉴定的肽数量方面产生了最佳结果。还评估了不同方案的蛋白质消化效率、保留疏水性肽和高分子量蛋白质的能力以及方法的重现性。还考虑并讨论了其他相关变量,包括粪便的个体间变异性、方案的持续时间和总费用。总之,这里提供的数据将极大地有助于优化和标准化人类粪便宏蛋白质组学中的样品制备方案。此外,高通量方法获得的有希望的结果有望鼓励自动化工作流程的开发及其在大规模肠道微生物组研究中的应用。

重要性粪便宏蛋白质组学是一种实验方法,可用于研究肠道微生物功能,这些功能涉及许多不同的生理和病理过程。粪便宏蛋白质组学中样品制备方案的标准化和自动化对于其在大规模研究中的应用至关重要。在这里,我们比较评估了不同的方法,这些方法也可采用高通量格式,从而实现宏蛋白质组学分析工作流程的两个关键步骤(即蛋白质纯化和消化)。我们研究的结果提供了重要信息,这些信息可能有助于优化宏蛋白质组学实验流程及其在实验室自动化系统中的实施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba3/11265449/6e46837a2757/msystems.00661-24.f009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba3/11265449/605fa558247d/msystems.00661-24.f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba3/11265449/6d791c4b3f60/msystems.00661-24.f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba3/11265449/55b18570e361/msystems.00661-24.f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba3/11265449/e4c90449f5e9/msystems.00661-24.f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba3/11265449/382fa3e5dc87/msystems.00661-24.f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba3/11265449/f4213fcf333b/msystems.00661-24.f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba3/11265449/69059ca3f4fb/msystems.00661-24.f007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba3/11265449/94a5c244d177/msystems.00661-24.f008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba3/11265449/6e46837a2757/msystems.00661-24.f009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba3/11265449/605fa558247d/msystems.00661-24.f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba3/11265449/6d791c4b3f60/msystems.00661-24.f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba3/11265449/55b18570e361/msystems.00661-24.f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba3/11265449/e4c90449f5e9/msystems.00661-24.f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba3/11265449/382fa3e5dc87/msystems.00661-24.f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba3/11265449/f4213fcf333b/msystems.00661-24.f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba3/11265449/69059ca3f4fb/msystems.00661-24.f007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba3/11265449/94a5c244d177/msystems.00661-24.f008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba3/11265449/6e46837a2757/msystems.00661-24.f009.jpg

相似文献

1
Benchmarking low- and high-throughput protein cleanup and digestion methods for human fecal metaproteomics.用于人类粪便宏蛋白质组学的低通量和高通量蛋白质清除和消化方法的基准测试。
mSystems. 2024 Jul 23;9(7):e0066124. doi: 10.1128/msystems.00661-24. Epub 2024 Jun 27.
2
Metaproteomic Analysis of Fecal Samples from Human Subjects and Rodent Models.人类受试者和啮齿动物模型粪便样本的宏蛋白质组学分析。
Methods Mol Biol. 2024;2820:115-125. doi: 10.1007/978-1-0716-3910-8_11.
3
Evaluation of Sample Preservation and Storage Methods for Metaproteomics Analysis of Intestinal Microbiomes.肠道微生物宏蛋白质组学分析中样品保存和储存方法的评价。
Microbiol Spectr. 2021 Dec 22;9(3):e0187721. doi: 10.1128/Spectrum.01877-21. Epub 2021 Dec 15.
4
Comparison of metaproteomics workflows for deciphering the functions of gut microbiota in an animal model of obesity.比较宏蛋白质组学工作流程,以破译肥胖动物模型中肠道微生物群的功能。
J Proteomics. 2019 Oct 30;209:103489. doi: 10.1016/j.jprot.2019.103489. Epub 2019 Aug 21.
5
Assessing the impact of protein extraction methods for human gut metaproteomics.评估人类肠道宏蛋白质组学中蛋白质提取方法的影响。
J Proteomics. 2018 May 30;180:120-127. doi: 10.1016/j.jprot.2017.07.001. Epub 2017 Jul 10.
6
Critical Assessment of MetaProteome Investigation (CAMPI): a multi-laboratory comparison of established workflows.关键评估元蛋白质组学调查 (CAMPI):已建立工作流程的多实验室比较。
Nat Commun. 2021 Dec 15;12(1):7305. doi: 10.1038/s41467-021-27542-8.
7
Bottom-Up Proteomics: Advancements in Sample Preparation.从下到上的蛋白质组学:样品制备的进展。
Int J Mol Sci. 2023 Mar 10;24(6):5350. doi: 10.3390/ijms24065350.
8
Isobaric Labeling Quantitative Metaproteomics for the Study of Gut Microbiome Response to Arsenic.基于等压标记定量代谢组学的砷暴露肠道微生物组响应研究
J Proteome Res. 2019 Mar 1;18(3):970-981. doi: 10.1021/acs.jproteome.8b00666. Epub 2019 Jan 16.
9
Data-Independent Acquisition Mass Spectrometry in Metaproteomics of Gut Microbiota-Implementation and Computational Analysis.基于数据非依赖性采集的肠道微生物宏蛋白质组学质谱分析方法:实现与计算分析。
J Proteome Res. 2020 Jan 3;19(1):432-436. doi: 10.1021/acs.jproteome.9b00606. Epub 2019 Dec 4.
10
Deep Metaproteomics Approach for the Study of Human Microbiomes.深度宏蛋白质组学方法在人类微生物组学研究中的应用。
Anal Chem. 2017 Sep 5;89(17):9407-9415. doi: 10.1021/acs.analchem.7b02224. Epub 2017 Aug 11.

引用本文的文献

1
The microbiologist's guide to metaproteomics.微生物学家的宏蛋白质组学指南。
Imeta. 2025 May 6;4(3):e70031. doi: 10.1002/imt2.70031. eCollection 2025 Jun.

本文引用的文献

1
High-Abundance Protein-Guided Hybrid Spectral Library for Data-Independent Acquisition Metaproteomics.高丰度蛋白导向的混合光谱库用于非靶向代谢组学。
Anal Chem. 2024 Jan 23;96(3):1029-1037. doi: 10.1021/acs.analchem.3c03255. Epub 2024 Jan 5.
2
Metaproteomic assessment of gut microbial and host functional perturbations in -infected patients subjected to an antimicrobial protocol.抗微生物药物治疗方案对感染患者肠道微生物和宿主功能扰动的宏蛋白质组学评估。
Gut Microbes. 2023 Dec;15(2):2291170. doi: 10.1080/19490976.2023.2291170. Epub 2023 Dec 8.
3
Gut dysbiosis: Ecological causes and causative effects on human disease.
肠道菌群失调:生态原因及其对人类疾病的因果影响。
Proc Natl Acad Sci U S A. 2023 Dec 12;120(50):e2316579120. doi: 10.1073/pnas.2316579120. Epub 2023 Dec 4.
4
Introducing untargeted data-independent acquisition for metaproteomics of complex microbial samples.引入用于复杂微生物样本元蛋白质组学的非靶向数据非依赖采集法。
ISME Commun. 2022 Jun 29;2(1):51. doi: 10.1038/s43705-022-00137-0.
5
Williams-Beuren syndrome shapes the gut microbiota metaproteome.威廉姆斯-比伦综合征塑造肠道微生物组代谢组。
Sci Rep. 2023 Nov 3;13(1):18963. doi: 10.1038/s41598-023-46052-9.
6
Increasing taxonomic and functional characterization of host-microbiome interactions by DIA-PASEF metaproteomics.通过数据独立采集-并行累积连续碎裂(DIA-PASEF)宏蛋白质组学增强宿主-微生物组相互作用的分类学和功能表征。
Front Microbiol. 2023 Oct 16;14:1258703. doi: 10.3389/fmicb.2023.1258703. eCollection 2023.
7
Meta4P: A User-Friendly Tool to Parse Label-Free Quantitative Metaproteomic Data and Taxonomic/Functional Annotations.Meta4P:一款用于解析无标签定量代谢组学数据和分类/功能注释的用户友好工具。
J Proteome Res. 2023 Jun 2;22(6):2109-2113. doi: 10.1021/acs.jproteome.2c00803. Epub 2023 Apr 28.
8
Data-independent acquisition boosts quantitative metaproteomics for deep characterization of gut microbiota.数据非依赖采集提高定量宏蛋白质组学深度分析肠道微生物组的能力。
NPJ Biofilms Microbiomes. 2023 Jan 24;9(1):4. doi: 10.1038/s41522-023-00373-9.
9
Alterations of oral microbiota and impact on the gut microbiome in type 1 diabetes mellitus revealed by integrated multi-omic analyses.通过整合多组学分析揭示 1 型糖尿病中口腔微生物组的改变及其对肠道微生物组的影响。
Microbiome. 2022 Dec 28;10(1):243. doi: 10.1186/s40168-022-01435-4.
10
Miniprep assisted proteomics (MAP) for rapid proteomics sample preparation.微量样本制备辅助蛋白质组学(MAP)用于快速蛋白质组学样品制备。
Anal Methods. 2023 Feb 16;15(7):916-924. doi: 10.1039/d2ay01549h.