蛋白质组
微生物群
工作流程
基因组
蛋白质组学
计算生物学
数据科学
计算机科学
生态学
生物
生物信息学
生物化学
数据库
基因
作者
Tim Van Den Bossche,Jean Armengaud,Dirk Benndorf,J. Blakeley-Ruiz,Madita Brauer,Kai Cheng,Marybeth Creskey,Daniel Figeys,Lucia Grenga,Timothy J. Griffin,Céline Henry,Robert L. Hettich,Tanja Holstein,Pratik Jagtap,Nico Jehmlich,Manuel Kleiner,Benoît J. Kunath,Xuxa Malliet,Lennart Martens,Subina Mehta
标识
DOI:10.26434/chemrxiv-2025-rh2q9
摘要
Metaproteomics is an emerging approach for studying microbiomes, offering the ability to characterize proteins that underpin microbial functionality within diverse ecosystems. As the primary catalytic and structural components of microbiomes, proteins provide unique insights into the active processes and ecological roles of microbial communities. By integrating metaproteomics with other omics disciplines, researchers can gain a comprehensive understanding of microbial ecology, interactions, and functional dynamics. This review, developed by the Metaproteomics Initiative (www.metaproteomics.org), serves as a practical guide for both microbiome and proteomics researchers, presenting key principles, state-of-the-art methodologies, and analytical workflows essential to metaproteomics. Topics covered include, among others, experimental design, sample preparation, mass spectrometry techniques, data analysis strategies, and statistical approaches.
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