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The microbiologist's guide to metaproteomics

Authors: Tim Van Den Bossche; Jean Armengaud; Dirk Benndorf; Jose Alfredo Blakeley‐Ruiz; Madita Brauer; Kai Cheng; Marybeth Creskey; +25 Authors

The microbiologist's guide to metaproteomics

Abstract

Abstract 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 experimental design, sample preparation, mass spectrometry techniques, data analysis strategies, and statistical approaches.

Countries
Italy, France, France, France, France, Luxembourg, Belgium, United Kingdom
Keywords

EXTRACTION, bioinformatics; functional dynamics; mass spectrometry; metaproteomics; microbiome, Computer applications to medicine. Medical informatics, MICROBIAL PROTEOME, R858-859.7, PEPTIDE IDENTIFICATION, microbiome, Review Article, SHOTGUN PROTEOMICS, Microbiology, PROTEIN IDENTIFICATION, FALSE DISCOVERY RATES, Microbiologie, Medicine and Health Sciences, METAGENOME-ASSEMBLED GENOMES, mass spectrometry, Biology and Life Sciences, SAMPLE PREPARATION, LABEL-FREE QUANTIFICATION, MASS-SPECTROMETRY, bioinformatics, Life sciences, Sciences du vivant, [SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], metaproteomics, functional dynamics, Biotechnology

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
54
Top 1%
Top 10%
Top 1%
Green
gold