<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Omenn GS</submitter><funding>Korean Ministry of Health and Welfare</funding><funding>NIA NIH HHS</funding><funding>NIEHS NIH HHS</funding><funding>Farmer Family Foundation</funding><funding>Canadian institutes of health research foundation</funding><funding>NCI NIH HHS</funding><funding>National Health and Medical Research Council</funding><funding>Knut och Alice Wallenbergs Stiftelse</funding><funding>National Institutes of Health</funding><funding>Swiss Institute of Bioinformatics</funding><funding>NIGMS NIH HHS</funding><funding>National Science Foundation</funding><pagination>5227-5240</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9340669</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>20(12)</volume><pubmed_abstract>The 2021 Metrics of the HUPO Human Proteome Project (HPP) show that protein expression has now been credibly detected (neXtProt PE1 level) for 18 357 (92.8%) of the 19 778 predicted proteins coded in the human genome, a gain of 483 since 2020 from reports throughout the world reanalyzed by the HPP. Conversely, the number of neXtProt PE2, PE3, and PE4 missing proteins has been reduced by 478 to 1421. This represents remarkable progress on the proteome parts list. The utilization of proteomics in a broad array of biological and clinical studies likewise continues to expand with many important findings and effective integration with other omics platforms. We present highlights from the Immunopeptidomics, Glycoproteomics, Infectious Disease, Cardiovascular, Musculo-Skeletal, Liver, and Cancers</pubmed_abstract><journal>Journal of proteome research</journal><pubmed_title>Progress Identifying and Analyzing the Human Proteome: 2021 Metrics from the HUPO Human Proteome Project.</pubmed_title><pmcid>PMC9340669</pmcid><funding_grant_id>HI13C22098</funding_grant_id><funding_grant_id>U19AG023122</funding_grant_id><funding_grant_id>U01 CA253217</funding_grant_id><funding_grant_id>P30 CA008748</funding_grant_id><funding_grant_id>R24 GM127667</funding_grant_id><funding_grant_id>DBI-1933311</funding_grant_id><funding_grant_id>P30ES017885-01A1</funding_grant_id><funding_grant_id>U24 CA210967</funding_grant_id><funding_grant_id>R24GM127667</funding_grant_id><funding_grant_id>P30 ES017885</funding_grant_id><funding_grant_id>U24CA210967</funding_grant_id><funding_grant_id>17X173</funding_grant_id><funding_grant_id>R21CA251992</funding_grant_id><funding_grant_id>R21 CA263262</funding_grant_id><funding_grant_id>R01 GM087221</funding_grant_id><funding_grant_id>R01GM114141</funding_grant_id><funding_grant_id>R13 CA135997</funding_grant_id><funding_grant_id>R01 GM114141</funding_grant_id><funding_grant_id>R01GM087221</funding_grant_id><funding_grant_id>148408</funding_grant_id><funding_grant_id>HI16C0257</funding_grant_id><funding_grant_id>P30CA008748</funding_grant_id><funding_grant_id>R21 CA251992</funding_grant_id><funding_grant_id>R21CA263262</funding_grant_id><funding_grant_id>U01CA253217</funding_grant_id><funding_grant_id>U19 AG023122</funding_grant_id><funding_grant_id>APP1010303</funding_grant_id><pubmed_authors>Corrales FJ</pubmed_authors><pubmed_authors>Lane L</pubmed_authors><pubmed_authors>Lindskog C</pubmed_authors><pubmed_authors>Deutsch EW</pubmed_authors><pubmed_authors>Cristea IM</pubmed_authors><pubmed_authors>Overall CM</pubmed_authors><pubmed_authors>Liu S</pubmed_authors><pubmed_authors>Paik YK</pubmed_authors><pubmed_authors>Srivastava S</pubmed_authors><pubmed_authors>Bandeira N</pubmed_authors><pubmed_authors>Aebersold R</pubmed_authors><pubmed_authors>Chen YJ</pubmed_authors><pubmed_authors>Omenn GS</pubmed_authors><pubmed_authors>Roehrl MHA</pubmed_authors><pubmed_authors>Weintraub S</pubmed_authors><pubmed_authors>Moritz RL</pubmed_authors></additional><is_claimable>false</is_claimable><name>Progress Identifying and Analyzing the Human Proteome: 2021 Metrics from the HUPO Human Proteome Project.</name><description>The 2021 Metrics of the HUPO Human Proteome Project (HPP) show that protein expression has now been credibly detected (neXtProt PE1 level) for 18 357 (92.8%) of the 19 778 predicted proteins coded in the human genome, a gain of 483 since 2020 from reports throughout the world reanalyzed by the HPP. Conversely, the number of neXtProt PE2, PE3, and PE4 missing proteins has been reduced by 478 to 1421. This represents remarkable progress on the proteome parts list. The utilization of proteomics in a broad array of biological and clinical studies likewise continues to expand with many important findings and effective integration with other omics platforms. We present highlights from the Immunopeptidomics, Glycoproteomics, Infectious Disease, Cardiovascular, Musculo-Skeletal, Liver, and Cancers</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Dec</publication><modification>2025-04-21T22:28:49.622Z</modification><creation>2025-04-05T18:48:27.043Z</creation></dates><accession>S-EPMC9340669</accession><cross_references><pubmed>34670092</pubmed><doi>10.1021/acs.jproteome.1c00590</doi></cross_references></HashMap>