2021-12-15Zeitschriftenartikel
Critical Assessment of MetaProteome Investigation (CAMPI): a multi-laboratory comparison of established workflows
van den Bossche, Tim
Kunath, Benoit J.
Schallert, Kay
Schäpe, Stephanie S.
Abraham, Paul E.
Armengaud, Jean
Arntzen, Magnus Ø.
Bassignani, Ariane
Benndorf, Dirk
fuchs, Stephan
Giannone, Richard J.
Griffin, Timothy J.
Hagen, Live H.
Halder, Rashi
Henry, Céline
Hettich, Robert L.
Heyer, Robert
Jagtap, Patrik
Jehmlich, Nico
Jensen, Marlene
Juste, Catherine
Kleiner, Manuel
Langella, Olivier
Lehmann, Theresa
Leith, Emma
May, Patrick
Mesuere, Patrick
Miotello, Guylaine
Peters, Samantha L.
Pible, Olivier
Queiros, Pedro T.
Reichl, Udo
Renard, Bernhard Y.
Schiebenhoefer, Henning
Sczyrba, Alexander
Tanca, Allesandro
Trappe, Kathrin
Trezzi, Jean-Pierre
Uzzau, Sergio
Verschaffelt, Pieter
von Bergen, Martin
Wilmes, Paul
Wolf, Maximilian
Martens, Lennart
Muth, Thilo
Metaproteomics 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.
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