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Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 2.1

Identifieur interne : 001D99 ( Pmc/Corpus ); précédent : 001D98; suivant : 001E00

Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 2.1

Auteurs : Eric W. Deutsch ; Christopher M. Overall ; Jennifer E. Van Eyk ; Mark S. Baker ; Young-Ki Paik ; Susan T. Weintraub ; Lydie Lane ; Lennart Martens ; Yves Vandenbrouck ; Ulrike Kusebauch ; William S. Hancock ; Henning Hermjakob ; Ruedi Aebersold ; Robert L. Moritz ; Gilbert S. Omenn

Source :

RBID : PMC:5096969

Abstract

Every data-rich community research effort requires a clear plan for ensuring the quality of the data interpretation and comparability of analyses. To address this need within the Human Proteome Project (HPP) of the Human Proteome Organization (HUPO), we have developed through broad consultation a set of mass spectrometry data interpretation guidelines that should be applied to all HPP data contributions. For submission of manuscripts reporting HPP protein identification results, the guidelines are presented as a one-page checklist containing fifteen essential points followed by two pages of expanded description of each. Here, we present an overview of the guidelines and provide an in-depth description of each of the fifteen elements to facilitate understanding of the intentions and rationale behind the guidelines, both for authors and for reviewers. Broadly, these guidelines provide specific directions regarding how HPP data are to be submitted to mass spectrometry data repositories, how error analysis should be presented, and how detection of novel proteins should be supported with additional confirmatory evidence. These guidelines, developed by the HPP community, are presented to the broader scientific community for further discussion.


Url:
DOI: 10.1021/acs.jproteome.6b00392
PubMed: 27490519
PubMed Central: 5096969

Links to Exploration step

PMC:5096969

Le document en format XML

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<p id="P1">Every data-rich community research effort requires a clear plan for ensuring the quality of the data interpretation and comparability of analyses. To address this need within the Human Proteome Project (HPP) of the Human Proteome Organization (HUPO), we have developed through broad consultation a set of mass spectrometry data interpretation guidelines that should be applied to all HPP data contributions. For submission of manuscripts reporting HPP protein identification results, the guidelines are presented as a one-page checklist containing fifteen essential points followed by two pages of expanded description of each. Here, we present an overview of the guidelines and provide an in-depth description of each of the fifteen elements to facilitate understanding of the intentions and rationale behind the guidelines, both for authors and for reviewers. Broadly, these guidelines provide specific directions regarding how HPP data are to be submitted to mass spectrometry data repositories, how error analysis should be presented, and how detection of novel proteins should be supported with additional confirmatory evidence. These guidelines, developed by the HPP community, are presented to the broader scientific community for further discussion.</p>
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<name>
<surname>Deutsch</surname>
<given-names>Eric W.</given-names>
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<xref ref-type="aff" rid="A1">1</xref>
<xref rid="FN1" ref-type="author-notes">*</xref>
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<given-names>Christopher M.</given-names>
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<name>
<surname>Van Eyk</surname>
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<xref ref-type="aff" rid="A3">3</xref>
</contrib>
<contrib contrib-type="author">
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<surname>Baker</surname>
<given-names>Mark S.</given-names>
</name>
<xref ref-type="aff" rid="A4">4</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Paik</surname>
<given-names>Young-Ki</given-names>
</name>
<xref ref-type="aff" rid="A5">5</xref>
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<name>
<surname>Weintraub</surname>
<given-names>Susan T.</given-names>
</name>
<xref ref-type="aff" rid="A6">6</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lane</surname>
<given-names>Lydie</given-names>
</name>
<xref ref-type="aff" rid="A7">7</xref>
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<name>
<surname>Martens</surname>
<given-names>Lennart</given-names>
</name>
<xref ref-type="aff" rid="A8">8</xref>
<xref ref-type="aff" rid="A9">9</xref>
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<given-names>Yves</given-names>
</name>
<xref ref-type="aff" rid="A10">10</xref>
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<name>
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<given-names>Ulrike</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
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<name>
<surname>Hancock</surname>
<given-names>William S.</given-names>
</name>
<xref ref-type="aff" rid="A11">11</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hermjakob</surname>
<given-names>Henning</given-names>
</name>
<xref ref-type="aff" rid="A12">12</xref>
<xref ref-type="aff" rid="A13">13</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Aebersold</surname>
<given-names>Ruedi</given-names>
</name>
<xref ref-type="aff" rid="A14">14</xref>
<xref ref-type="aff" rid="A15">15</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Moritz</surname>
<given-names>Robert L.</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Omenn</surname>
<given-names>Gilbert S.</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
<xref ref-type="aff" rid="A16">16</xref>
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<aff id="A1">
<label>1</label>
Institute for Systems Biology, Seattle, WA, USA</aff>
<aff id="A2">
<label>2</label>
Centre for Blood Research, Departments of Oral Biological & Medical Sciences, and Biochemistry & Molecular Biology, Faculty of Dentistry, University of British Columbia, Vancouver, Canada</aff>
<aff id="A3">
<label>3</label>
Advanced Clinical Biosystems Research Institute, Department of Medicine, Cedars Sinai Medical Center, Los Angeles, CA, USA</aff>
<aff id="A4">
<label>4</label>
Department of Biomedical Sciences, Faculty of Medicine and Health Science, Macquarie University, NSW, Australia</aff>
<aff id="A5">
<label>5</label>
Yonsei Proteome Research Center and Department of Biochemistry, Yonsei University, 50 Yonsei-ro, Sudaemoon-ku, Seoul, Korea</aff>
<aff id="A6">
<label>6</label>
The University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA</aff>
<aff id="A7">
<label>7</label>
SIB Swiss Institute of Bioinformatics and Department of Human Protein Science, Faculty of medicine, University of Geneva, CMU, Michel Servet 1, 1211 Geneva 4, Switzerland</aff>
<aff id="A8">
<label>8</label>
Department of Medical Protein Research, VIB, Ghent, Belgium</aff>
<aff id="A9">
<label>9</label>
Department of Biochemistry, Ghent University, Ghent, Belgium</aff>
<aff id="A10">
<label>10</label>
French Proteomics Infrastructure, Biosciences and Biotechnology Institute of Grenoble (BIG), Université Grenoble Alpes, CEA, INSERM, U1038, Grenoble, France</aff>
<aff id="A11">
<label>11</label>
Department of Chemical Biology, Northeastern University, Boston, Massachusetts, USA</aff>
<aff id="A12">
<label>12</label>
European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK</aff>
<aff id="A13">
<label>13</label>
National Center for Protein Sciences, Beijing, China</aff>
<aff id="A14">
<label>14</label>
Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland</aff>
<aff id="A15">
<label>15</label>
Faculty of Science, University of Zurich, 8006 Zurich, Switzerland</aff>
<aff id="A16">
<label>16</label>
Departments of Computational Medicine & Bioinformatics, Internal Medicine, and Human Genetics and School of Public Health, University of Michigan, Ann Arbor, MI, 48109-2218, USA</aff>
<author-notes>
<corresp id="FN1">
<label>*</label>
Address correspondence to: Eric W. Deutsch, Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA,
<email>edeutsch@systemsbiology.org</email>
, Phone: 206-732-1200, Fax: 206-732-1299</corresp>
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<pub-date pub-type="nihms-submitted">
<day>19</day>
<month>10</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="epub">
<day>24</day>
<month>8</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="ppub">
<day>4</day>
<month>11</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="pmc-release">
<day>04</day>
<month>11</month>
<year>2016</year>
</pub-date>
<volume>15</volume>
<issue>11</issue>
<fpage>3961</fpage>
<lpage>3970</lpage>
<pmc-comment>elocation-id from pubmed: 10.1021/acs.jproteome.6b00392</pmc-comment>
<abstract id="Abs1">
<p id="P1">Every data-rich community research effort requires a clear plan for ensuring the quality of the data interpretation and comparability of analyses. To address this need within the Human Proteome Project (HPP) of the Human Proteome Organization (HUPO), we have developed through broad consultation a set of mass spectrometry data interpretation guidelines that should be applied to all HPP data contributions. For submission of manuscripts reporting HPP protein identification results, the guidelines are presented as a one-page checklist containing fifteen essential points followed by two pages of expanded description of each. Here, we present an overview of the guidelines and provide an in-depth description of each of the fifteen elements to facilitate understanding of the intentions and rationale behind the guidelines, both for authors and for reviewers. Broadly, these guidelines provide specific directions regarding how HPP data are to be submitted to mass spectrometry data repositories, how error analysis should be presented, and how detection of novel proteins should be supported with additional confirmatory evidence. These guidelines, developed by the HPP community, are presented to the broader scientific community for further discussion.</p>
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</abstract>
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<kwd>Guidelines</kwd>
<kwd>standards</kwd>
<kwd>Human Proteome Project</kwd>
<kwd>mass spectrometry</kwd>
<kwd>false-discovery rates</kwd>
<kwd>alternative protein matches</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
</record>

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