Evidence map›Paper›PMID 31599596›Full record

ArticleJournal of proteome research2019

Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0.

Eric W Deutsch, Lydie Lane, Christopher M Overall, Nuno Bandeira, Mark S Baker, Charles Pineau, Robert L Moritz, Fernando Corrales, Sandra Orchard, Jennifer E Van Eyk and 4 more

Abstract read
In one paragraph

Article in Journal of proteome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

66 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Review
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  10. Journal of proteome research · 2025
    Article
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  12. Chronic CRYPTOCHROME deficiency enhances cell-intrinsic antiviral defences.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
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6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Eric W DeutschInstitute for Systems Biology , Seattle , Washington 98109 , United States.ORCID 0000-0001-8732-0928
Lydie LaneSIB Swiss Institute of Bioinformatics and Department of Microbiology and Molecular Medicine, Faculty of Medicine , University of Geneva , CMU, Michel Servet 1 , 1211 Geneva 4 , Switzerland.ORCID 0000-0002-9818-3030
Christopher M OverallCentre for Blood Research, Departments of Oral Biological & Medical Sciences, and Biochemistry & Molecular Biology, Faculty of Dentistry , The University of British Columbia , Vancouver , BC V6T 1Z4 , Canada.
Nuno BandeiraCenter for Computational Mass Spectrometry and Department of Computer Science and Engineering, Skaggs School of Pharmacy and Pharmaceutical Sciences , University of California San Diego , La Jolla , California 92093 , United States.
Mark S BakerDepartment of Biomedical Sciences, Faculty of Medicine and Health Science , Macquarie University , Macquarie Park , NSW 2109 , Australia.ORCID 0000-0001-5858-4035
Charles PineauUniv. Rennes , Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail) - UMR_S 1085 , F-35042 Rennes cedex , France.ORCID 0000-0002-7461-5433
Robert L MoritzInstitute for Systems Biology , Seattle , Washington 98109 , United States.ORCID 0000-0002-3216-9447
Fernando CorralesFunctional Proteomics Laboratory, Centro Nacional de Biotecnología , Spanish Research Council , ProteoRed-.ISCIII , Madrid 117 , Spain.ORCID 0000-0002-0231-5159
Sandra OrchardEuropean Molecular Biology Laboratory , European Bioinformatics Institute (EMBL-EBI) , Wellcome Trust Genome Campus , Hinxton , Cambridge CB10 1SD , U.K.ORCID 0000-0002-8878-3972
Jennifer E Van EykAdvanced Clinical Biosystems Research Institute, The Smidt Heart Institute, Department of Medicine , Cedars Sinai Medical Center , Los Angeles , California 90048 , United States.ORCID 0000-0001-9050-148X
Young-Ki PaikYonsei Proteome Research Center , Yonsei University , 50 Yonsei-ro , Sudaemoon-ku , Seoul 03720 , Korea.ORCID 0000-0002-8146-1751
Susan T WeintraubThe University of Texas Health Science Center at San Antonio , San Antonio , Texas 78229 , United States.ORCID 0000-0002-8328-7814
Yves VandenbrouckUniv. Grenoble Alpes , CEA, INSERM, IRIG-BGE, U1038 , F-38000 Grenoble , France.
Gilbert S OmennInstitute for Systems Biology , Seattle , Washington 98109 , United States.ORCID 0000-0002-8976-6074

Funding

Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI Ryan Tewhey · 2004 to 2026
$102.6M
UniProt - Text Mining and Large Language models to Enhance Functional Annotation in UniProt of Protein Variants Associated with Alzheimer's DiseaseU24HG007822 · NHGRI · GEORGETOWN UNIVERSITY · PI Alex Bateman, Alan James Bridge · 2018 to 2026
$53.0M
UniProt: A centralized protein sequence and function resourceU41HG007822 · NHGRI · EUROPEAN MOLECULAR BIOLOGY LABORATORY · PI BATEMAN, ALEX · 2014 to 2017
$21.9M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
Genomic and Proteomic Architecture of AtherosclerosisR01HL111362 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HERRINGTON, DAVID MCLEOD · 2012 to 2021
$17.2M
TrainingU54EB020406 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2014 to 2018
$12.5M
TrainingP41GM103484 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BANDEIRA, NUNO · 2012 to 2018
$8.7M
COPD Susceptibility, Heterogeneity, and Progression: Proteomics and GeneticsR01HL133135 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MORITZ, ROBERT L, SILVERMAN, EDWIN K · 2017 to 2025
$7.2M
Shortening the development cycle time of Trans Proteomic Pipeline tools with high performance computingR01GM087221 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DEUTSCH, ERIC, MORITZ, ROBERT L · 2010 to 2021
$6.0M
University of Michigan Proteogenomics Data Analysis CenterU24CA210967 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHINNAIYAN, ARUL M, DHANASEKARAN, SARAVANA M · 2016 to 2020
$4.1M
MassIVE.quant: a curated and scalable community resource for quantitative proteomicsR01LM013115 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BANDEIRA, NUNO · 2019 to 2022
$1.3M
Advancing data and metadata standards for proteomics mass spectraR24GM127667 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DEUTSCH, ERIC · 2017 to 2019
$1.2M
NCI NIH HHS U24 CA210967NHGRI NIH HHS U24 HG007822NHGRI NIH HHS U41 HG007822NHLBI NIH HHS R01 HL111362NHLBI NIH HHS R01 HL133135NIA NIH HHS U19 AG023122NIBIB NIH HHS U54 EB020406NIEHS NIH HHS P30 ES017885NIGMS NIH HHS P41 GM103484NIGMS NIH HHS R01 GM087221NIGMS NIH HHS R24 GM127667NLM NIH HHS R01 LM013115
6 · The paper itself

Abstract

The Human Proteome Organization's (HUPO) Human Proteome Project (HPP) developed Mass Spectrometry (MS) Data Interpretation Guidelines that have been applied since 2016. These guidelines have helped ensure that the emerging draft of the complete human proteome is highly accurate and with low numbers of false-positive protein identifications. Here, we describe an update to these guidelines based on consensus-reaching discussions with the wider HPP community over the past year. The revised 3.0 guidelines address several major and minor identified gaps. We have added guidelines for emerging data independent acquisition (DIA) MS workflows and for use of the new Universal Spectrum Identifier (USI) system being developed by the HUPO Proteomics Standards Initiative (PSI). In addition, we discuss updates to the standard HPP pipeline for collecting MS evidence for all proteins in the HPP, including refinements to minimum evidence. We present a new plan for incorporating MassIVE-KB into the HPP pipeline for the next (HPP 2020) cycle in order to obtain more comprehensive coverage of public MS data sets. The main checklist has been reorganized under headings and subitems, and related guidelines have been grouped. In sum, Version 2.1 of the HPP MS Data Interpretation Guidelines has served well, and this timely update to version 3.0 will aid the HPP as it approaches its goal of collecting and curating MS evidence of translation and expression for all predicted ∼20 000 human proteins encoded by the human genome.

Indexed as

Guidelines as TopicProteomeSignal Processing, Computer-AssistedHumansMass SpectrometryProteomicsSocieties, ScientificProteomeB/D-HPPC-HPPfalse-discovery ratesguidelinesHPPHuman Proteome Projectmass spectrometrystandardsunicity checkerUniversal Spectrum Identifier (USI)

Identifiers

PMID31599596
PMCPMC6986310

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.