Evidence map›Paper›PMID 38232391›Full record

ReviewJournal of proteome research2024

The 2023 Report on the Proteome from the HUPO Human Proteome Project.

Gilbert S Omenn, Lydie Lane, Christopher M Overall, Cecilia Lindskog, Charles Pineau, Nicolle H Packer, Ileana M Cristea, Susan T Weintraub, Sandra Orchard, Michael H A Roehrl and 8 more

Open access · greenAbstract readReview
In one paragraph

Review in Journal of proteome research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
6.3field-weighted citation impact, top 3% of its field
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

17 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  8. Review
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  13. Review
  14. Article
  15. Quenching Trypsin Is Unnecessary in Filter-Based Bottom-Up Proteomics.Journal of the American Society for Mass Spectrometry · 2024
    Article
  16. The One Hour Human Proteome.Molecular & cellular proteomics : MCP · 2024
    Article
  17. Article
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

18 authors at 17 institutions in 9 countries.

Gilbert S OmennUniversity of Michigan, Ann Arbor, Michigan 48109, United States.ORCID 0000-0002-8976-6074
Lydie LaneCALIPHO Group, SIB Swiss Institute of Bioinformatics and University of Geneva, 1015 Lausanne, Switzerland.ORCID 0000-0002-9818-3030
Christopher M OverallUniversity of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada.
Cecilia LindskogUppsala Universitet, 752 36 Uppsala, Sweden.ORCID 0000-0001-5611-1015
Charles PineauUniversity Rennes, Inserm U1085, Irset, 35042 Rennes, France.
Nicolle H PackerMacquarie University, Sydney, New South Wales 2109, Australia.ORCID 0000-0002-7532-4021
Ileana M CristeaPrinceton University, Princeton, New Jersey 08544-1014, United States.ORCID 0000-0002-6533-2458
Susan T WeintraubUniversity of Texas Health Science Center-San Antonio, San Antonio, Texas 78229-3900, United States.ORCID 0000-0002-8328-7814
Sandra OrchardEMBL-EBI, Hinxton, Cambridgeshire CB10 1SD, United Kingdom.ORCID 0000-0002-8878-3972
Michael H A RoehrlDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts 02215, United States.
Edouard NiceMonash University, Clayton, Victoria 3800, Australia.ORCID 0000-0001-5480-4715
Tiannan GuoWestlake Center for Intelligent Proteomics, Westlake Laboratory, Westlake University, Hangzhou 310024, Zhejiang Province, China.ORCID 0000-0003-3869-7651
Jennifer E Van EykAdvanced Clinical Biosystems Research Institute, Smidt Heart Institute, Cedars-Sinai Medical Center, 127 South San Vicente Boulevard, Pavilion, 9th Floor, Los Angeles, California 90048, United States.ORCID 0000-0001-9050-148X
Siqi LiuBGI Group, Shenzhen 518083, China.ORCID 0000-0001-9744-3681
Nuno BandeiraUniversity of California, San Diego, La Jolla, California 92093, United States.ORCID 0000-0001-8385-3655
Ruedi AebersoldInstitute of Molecular Systems Biology in ETH Zurich, 8092 Zurich, Switzerland.
Robert L MoritzInstitute for Systems Biology, Seattle, Washington 98109, United States.ORCID 0000-0002-3216-9447
Eric W DeutschInstitute for Systems Biology, Seattle, Washington 98109, United States.ORCID 0000-0001-8732-0928
Institute for Systems Biology · USBeth Israel Deaconess Medical Center · USBGI Group (China) · CNCedars-Sinai Medical Center · USEuropean Bioinformatics Institute · GBInserm · FRMacquarie University · AUMonash University · AUPrinceton University · USThe University of Texas Health Science Center at San Antonio · USUniversity of British Columbia · CAUniversity of California San Diego · USUniversity of Geneva · CHUniversity of Michigan · USUniversity of Zurich · CHUppsala University · SEWestlake University · CN

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI RICHARD A MILLER · 2004 to 2026
$102.6M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
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
Michigan Center for Translational Cancer Proteogenomics-Diversity SupplementU24CA271037 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Saravana Mohan Dhanasekaran, Alexey I Nesvizhskii · 2022 to 2026
$4.4M
Integrative Omics to enhance therapeutics development for healthy agingUH3AG064706 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI MILLER, RICHARD A, SCHORK, NICHOLAS JOSEPH · 2021 to 2024
$3.3M
Dynamic virus-driven remodeling of ER-mitochondria contactsR01AI174515 · NIAID · PRINCETON UNIVERSITY · PI CRISTEA, ILEANA M. · 2022 to 2025
$2.2M
Evaluation of the effect of patient-context factors and sample acquisition on the quality and analytical performance of cell-free DNA and circulating tumor cells profiling assays in prostate cancer paU01CA253217 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI ARCILA, MARIA E, SCHER, HOWARD I · 2020 to 2024
$1.8M
Evaluation of Patient Factors and Sample Pre-Analytics on Predictive Multiplex Immunohistochemical Assays in Immuno-Oncology PatientsU01CA263986 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Wenyi Wei · 2022 to 2026
$1.3M
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
Acquisition of Fusion Lumos Orbitrap mass spectrometerS10OD026936 · OD · INSTITUTE FOR SYSTEMS BIOLOGY · PI MORITZ, ROBERT L · 2019 to 2019
$600k
NCI NIH HHS P30 CA008748NCI NIH HHS R21 CA251992NCI NIH HHS R21 CA263262NCI NIH HHS U01 CA253217NCI NIH HHS U01 CA263986NCI NIH HHS U24 CA271037NIAID NIH HHS R01 AI174515NIA NIH HHS U19 AG023122NIA NIH HHS UH3 AG064706NIEHS NIH HHS P30 ES017885NIGMS NIH HHS R01 GM087221NIGMS NIH HHS R24 GM127667NIH HHS S10 OD026936NLM NIH HHS R01 LM013115
6 · The paper itself

Abstract

Since 2010, the Human Proteome Project (HPP), the flagship initiative of the Human Proteome Organization (HUPO), has pursued two goals: (1) to credibly identify the protein parts list and (2) to make proteomics an integral part of multiomics studies of human health and disease. The HPP relies on international collaboration, data sharing, standardized reanalysis of MS data sets by PeptideAtlas and MassIVE-KB using HPP Guidelines for quality assurance, integration and curation of MS and non-MS protein data by neXtProt, plus extensive use of antibody profiling carried out by the Human Protein Atlas. According to the neXtProt release 2023-04-18, protein expression has now been credibly detected (PE1) for 18,397 of the 19,778 neXtProt predicted proteins coded in the human genome (93%). Of these PE1 proteins, 17,453 were detected with mass spectrometry (MS) in accordance with HPP Guidelines and 944 by a variety of non-MS methods. The number of neXtProt PE2, PE3, and PE4 missing proteins now stands at 1381. Achieving the unambiguous identification of 93% of predicted proteins encoded from across all chromosomes represents remarkable experimental progress on the Human Proteome parts list. Meanwhile, there are several categories of predicted proteins that have proved resistant to detection regardless of protein-based methods used. Additionally there are some PE1-4 proteins that probably should be reclassified to PE5, specifically 21 LINC entries and ∼30 HERV entries; these are being addressed in the present year. Applying proteomics in a wide array of biological and clinical studies ensures integration with other omics platforms as reported by the Biology and Disease-driven HPP teams and the antibody and pathology resource pillars. Current progress has positioned the HPP to transition to its Grand Challenge Project focused on determining the primary function(s) of every protein itself and in networks and pathways within the context of human health and disease.

Indexed as

AntibodiesProteomeDatabases, ProteinHumansMass SpectrometryProteomicsAntibodiesProteomeBiology and Disease-HPP (B/D-HPP)Chromosome-centric HPP (C-HPP)Grand Challenge ProjectHuman Protein AtlasHuman Proteome Organization (HUPO)Human Proteome Project (HPP)Mass Spectrometry Interactive Virtual Environment Knowledge Base (MassIVE-KB)missing proteins (MP)neXtProt protein existence (PE) metricsnon-MS PE1 proteinsPeptideAtlasuncharacterized protein existence 1 (uPE1)

Identifiers

PMID38232391
PMCPMC11026053
OpenAlexW4390937479

What OpenQuestion holds

Textmetadata
LicenceTDM
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.