The 2022 Report on the Human Proteome from the HUPO Human Proteome Project

Gilbert S. Omenn, Lydie Lane, Christopher M. Overall, Charles Pineau, Nicolle H. Packer, Ileana M. Cristea, Cecilia Lindskog, Susan T. Weintraub, Sandra Orchard, Michael H.A. Roehrl, Edouard Nice, Siqi Liu, Nuno Bandeira, Yu Ju Chen, Tiannan Guo, Ruedi Aebersold, Robert L. Moritz, Eric W. Deutsch

Research output: Contribution to journalReview articlepeer-review

25 Scopus citations

Abstract

The 2022 Metrics of the Human Proteome from the HUPO Human Proteome Project (HPP) show that protein expression has now been credibly detected (neXtProt PE1 level) for 18 407 (93.2%) of the 19 750 predicted proteins coded in the human genome, a net gain of 50 since 2021 from data sets generated around the world and reanalyzed by the HPP. Conversely, the number of neXtProt PE2, PE3, and PE4 missing proteins has been reduced by 78 from 1421 to 1343. This represents continuing experimental progress on the human proteome parts list across all the chromosomes, as well as significant reclassifications. Meanwhile, applying proteomics in a vast array of biological and clinical studies continues to yield significant findings and growing integration with other omics platforms. We present highlights from the Chromosome-Centric HPP, Biology and Disease-driven HPP, and HPP Resource Pillars, compare features of mass spectrometry and Olink and Somalogic platforms, note the emergence of translation products from ribosome profiling of small open reading frames, and discuss the launch of the initial HPP Grand Challenge Project, “A Function for Each Protein”.

Original languageEnglish (US)
Pages (from-to)1024-1042
Number of pages19
JournalJournal of Proteome Research
Volume22
Issue number4
DOIs
StatePublished - Apr 7 2023

All Science Journal Classification (ASJC) codes

  • General Chemistry
  • Biochemistry

Keywords

  • Biology and Disease-HPP (B/D-HPP)
  • Grand Challenge Project
  • Human Protein Atlas
  • Human Proteome Project (HPP)
  • Mass Spectrometry Interactive Virtual Environment (MassIVE)
  • PeptideAtlas
  • Ribo-Seq
  • chromosome-centric HPP (C-HPP)
  • missing proteins (MP)
  • neXtProt protein existence (PE metrics)
  • non-MS PE1 proteins
  • small open reading frames (smORFs)
  • uncharacterized protein existence 1 (uPE1)

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