<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>54122</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>15</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>12</volume>
    <type>article</type>
    <publisherName>Nature Publishing Group</publisherName>
    <publisherPlace>London</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Critical Assessment of MetaProteome Investigation (CAMPI): A multi-laboratory comparison of established workflows</title>
    <abstract language="eng">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.</abstract>
    <parentTitle language="eng">Nature communications</parentTitle>
    <identifier type="doi">10.1038/s41467-021-27542-8</identifier>
    <identifier type="issn">2041-1723</identifier>
    <identifier type="urn">urn:nbn:de:kobv:b43-541220</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="date_peer_review">22.12.2021</enrichment>
    <enrichment key="RelatedIdentifier">https://opus4.kobv.de/opus4-bam/frontdoor/index/index/docId/58087</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>T. Van Den Bossche</author>
    <author>B. Kunath</author>
    <author>K. Schallert</author>
    <author>S. Schäpe</author>
    <author>P. E. Abraham</author>
    <author>J. Armengaud</author>
    <author>M. Ø. Arntzen</author>
    <author>A. Bassignani</author>
    <author>D. Benndorf</author>
    <author>S. Fuchs</author>
    <author>R. J. Giannone</author>
    <author>T. J. Griffin</author>
    <author>L. H. Hagen</author>
    <author>R. Halder</author>
    <author>C. Henry</author>
    <author>R. L. Hettich</author>
    <author>R. Heyer</author>
    <author>P. Jagtap</author>
    <author>N. Jehmlich</author>
    <author>M. Jensen</author>
    <author>C. Juste</author>
    <author>M. Kleiner</author>
    <author>O. Langella</author>
    <author>T. Lehmann</author>
    <author>E. Leith</author>
    <author>P. May</author>
    <author>B. Mesuere</author>
    <author>G. Miotello</author>
    <author>S. L. Peters</author>
    <author>O. Pible</author>
    <author>P. T. Queiros</author>
    <author>U. Reichl</author>
    <author>B. Y. Renard</author>
    <author>H. Schiebenhoefer</author>
    <author>A. Sczyrba</author>
    <author>A. Tanca</author>
    <author>K. Trappe</author>
    <author>J.-P. Trezzi</author>
    <author>S. Uzzau</author>
    <author>P. Verschaffelt</author>
    <author>M. von Bergen</author>
    <author>P. Wilmes</author>
    <author>M. Wolf</author>
    <author>L. Martens</author>
    <author>Thilo Muth</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Metaproteomics</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Mass spectrometry</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Data science</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Benchmarking</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Bioinformatics</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="themenfelder" number="">Chemie und Prozesstechnik</collection>
    <collection role="literaturgattung" number="">Verlagsliteratur</collection>
    <collection role="fulltextaccess" number="">Datei für die Öffentlichkeit verfügbar ("Open Access")</collection>
    <collection role="unnumberedseries" number="">Wissenschaftliche Artikel der BAM</collection>
    <collection role="institutes" number="">VP Vizepräsident</collection>
    <collection role="institutes" number="">VP.1 eScience</collection>
    <thesisPublisher>Bundesanstalt für Materialforschung und -prüfung (BAM)</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-bam/files/54122/VanDenBossche_et_al_2021_NComms.pdf</file>
  </doc>
</export-example>
