Critical Assessment of MetaProteome Investigation (CAMPI): a multi-laboratory comparison of established workflows
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Published:2021-12
Issue:1
Volume:12
Page:
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ISSN:2041-1723
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Container-title:Nature Communications
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language:en
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Short-container-title:Nat Commun
Author:
Van Den Bossche TimORCID, Kunath Benoit J.ORCID, Schallert KayORCID, Schäpe Stephanie S., Abraham Paul E., Armengaud JeanORCID, Arntzen Magnus Ø.ORCID, Bassignani ArianeORCID, Benndorf DirkORCID, Fuchs StephanORCID, Giannone Richard J., Griffin Timothy J.ORCID, Hagen Live H.ORCID, Halder RashiORCID, Henry Céline, Hettich Robert L.ORCID, Heyer RobertORCID, Jagtap PratikORCID, Jehmlich NicoORCID, Jensen MarleneORCID, Juste Catherine, Kleiner ManuelORCID, Langella OlivierORCID, Lehmann Theresa, Leith Emma, May PatrickORCID, Mesuere BartORCID, Miotello Guylaine, Peters Samantha L.ORCID, Pible OlivierORCID, Queiros Pedro T., Reichl Udo, Renard Bernhard Y.ORCID, Schiebenhoefer HenningORCID, Sczyrba AlexanderORCID, Tanca AlessandroORCID, Trappe Kathrin, Trezzi Jean-Pierre, Uzzau Sergio, Verschaffelt PieterORCID, von Bergen MartinORCID, Wilmes PaulORCID, Wolf Maximilian, Martens LennartORCID, Muth ThiloORCID
Abstract
AbstractMetaproteomics has matured into a powerful tool to assess functional interactions in microbial communities. While many metaproteomic workflows are available, the impact of method choice on results remains unclear. Here, we carry out a community-driven, multi-laboratory comparison in metaproteomics: the critical assessment of metaproteome investigation study (CAMPI). Based on well-established workflows, we evaluate the effect of sample preparation, mass spectrometry, and bioinformatic analysis using two samples: a simplified, laboratory-assembled human intestinal model and a human fecal sample. We observe that variability at the peptide level is predominantly due to sample processing workflows, with a smaller contribution of bioinformatic pipelines. These peptide-level differences largely disappear at the protein group level. While differences are observed for predicted community composition, similar functional profiles are obtained across workflows. CAMPI demonstrates the robustness of present-day metaproteomics research, serves as a template for multi-laboratory studies in metaproteomics, and provides publicly available data sets for benchmarking future developments.
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry
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