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Pré-Publication, Document De Travail Année : 2021

Critical Assessment of Metaproteome Investigation (CAMPI): A Multi-Lab Comparison of Established Workflows

Paul Abraham
Stephan Fuchs
Timothy Griffin
Live Hagen
Rashi Halder
Pratik Jagtap
Manuel Kleiner
Theresa Lehmann
  • Fonction : Auteur
Emma Leith
  • Fonction : Auteur
Patrick May
Bart Mesuere
Samantha Peters
Pedro Queiros
Udo Reichl
Bernhard Renard
Henning Schiebenhoefer
Alexander Sczyrba
Alessandro Tanca
Kathrin Trappe
Jean-Pierre Trezzi
Sergio Uzzau
Pieter Verschaffelt
Paul Wilmes

Résumé

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 carried out the first community-driven, multi-laboratory comparison in metaproteomics: the critical assessment of metaproteome investigation study (CAMPI). Based on well-established workflows, we evaluated 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 observed that variability at the peptide level was predominantly due to sample processing workflows, with a smaller contribution of bioinformatic pipelines. These peptide-level differences largely disappeared at the protein group level. While differences were observed for predicted community composition, similar functional profiles were 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.

Dates et versions

hal-04468173 , version 1 (20-02-2024)

Licence

Copyright (Tous droits réservés)

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Citer

Tim van den Bossche, Benoit Kunath, Kay Schallert, Stephanie Schäpe, Paul Abraham, et al.. Critical Assessment of Metaproteome Investigation (CAMPI): A Multi-Lab Comparison of Established Workflows. 2024. ⟨hal-04468173⟩
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