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1.
J Proteome Res ; 20(12): 5227-5240, 2021 12 03.
Article in English | MEDLINE | ID: covidwho-1683909

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 B/D-HPP teams and from the Knowledgebase, Mass Spectrometry, Antibody Profiling, and Pathology resource pillars, as well as ethical considerations important to the clinical utilization of proteomics and protein biomarkers.


Subject(s)
Benchmarking , Proteome , Databases, Protein , Humans , Mass Spectrometry/methods , Proteome/analysis , Proteome/genetics , Proteomics/methods
2.
J Proteome Res ; 20(3): 1464-1475, 2021 03 05.
Article in English | MEDLINE | ID: covidwho-1091530

ABSTRACT

The SARS-CoV-2 virus is the causative agent of the 2020 pandemic leading to the COVID-19 respiratory disease. With many scientific and humanitarian efforts ongoing to develop diagnostic tests, vaccines, and treatments for COVID-19, and to prevent the spread of SARS-CoV-2, mass spectrometry research, including proteomics, is playing a role in determining the biology of this viral infection. Proteomics studies are starting to lead to an understanding of the roles of viral and host proteins during SARS-CoV-2 infection, their protein-protein interactions, and post-translational modifications. This is beginning to provide insights into potential therapeutic targets or diagnostic strategies that can be used to reduce the long-term burden of the pandemic. However, the extraordinary situation caused by the global pandemic is also highlighting the need to improve mass spectrometry data and workflow sharing. We therefore describe freely available data and computational resources that can facilitate and assist the mass spectrometry-based analysis of SARS-CoV-2. We exemplify this by reanalyzing a virus-host interactome data set to detect protein-protein interactions and identify host proteins that could potentially be used as targets for drug repurposing.


Subject(s)
COVID-19/virology , Information Dissemination/methods , Mass Spectrometry/methods , SARS-CoV-2/chemistry , COVID-19/epidemiology , COVID-19 Testing/methods , COVID-19 Testing/statistics & numerical data , Computational Biology , Databases, Protein/statistics & numerical data , Drug Repositioning , Host Microbial Interactions/physiology , Humans , Mass Spectrometry/statistics & numerical data , Pandemics , Protein Interaction Domains and Motifs , Protein Interaction Maps , Protein Processing, Post-Translational , Proteomics/methods , Proteomics/statistics & numerical data , SARS-CoV-2/pathogenicity , SARS-CoV-2/physiology , Viral Proteins/chemistry , Viral Proteins/physiology , COVID-19 Drug Treatment
3.
J Proteome Res ; 19(12): 4735-4746, 2020 12 04.
Article in English | MEDLINE | ID: covidwho-1065786

ABSTRACT

According to the 2020 Metrics of the HUPO Human Proteome Project (HPP), expression has now been detected at the protein level for >90% of the 19 773 predicted proteins coded in the human genome. The HPP annually reports on progress made throughout the world toward credibly identifying and characterizing the complete human protein parts list and promoting proteomics as an integral part of multiomics studies in medicine and the life sciences. NeXtProt release 2020-01 classified 17 874 proteins as PE1, having strong protein-level evidence, up 180 from 17 694 one year earlier. These represent 90.4% of the 19 773 predicted coding genes (all PE1,2,3,4 proteins in neXtProt). Conversely, the number of neXtProt PE2,3,4 proteins, termed the "missing proteins" (MPs), was reduced by 230 from 2129 to 1899 since the neXtProt 2019-01 release. PeptideAtlas is the primary source of uniform reanalysis of raw mass spectrometry data for neXtProt, supplemented this year with extensive data from MassIVE. PeptideAtlas 2020-01 added 362 canonical proteins between 2019 and 2020 and MassIVE contributed 84 more, many of which converted PE1 entries based on non-MS evidence to the MS-based subgroup. The 19 Biology and Disease-driven B/D-HPP teams continue to pursue the identification of driver proteins that underlie disease states, the characterization of regulatory mechanisms controlling the functions of these proteins, their proteoforms, and their interactions, and the progression of transitions from correlation to coexpression to causal networks after system perturbations. And the Human Protein Atlas published Blood, Brain, and Metabolic Atlases.


Subject(s)
Proteome , Proteomics , Databases, Protein , Genome, Human , Humans , Mass Spectrometry , Proteome/genetics
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