z-logo
open-access-imgOpen Access
Advances and Utility of the Human Plasma Proteome
Author(s) -
Eric W. Deutsch,
Gilbert S. Omenn,
Zhi Sun,
Michal Maes,
Maria Pernemalm,
Krishnan K. Palaniappan,
Natasha Letunica,
Yves Vandenbrouck,
Virginie Brun,
Sheng Ce Tao,
Xiaobo Yu,
Philipp Geyer,
Vera Ignjatović,
Robert L. Moritz,
Jochen M. Schwenk
Publication year - 2021
Publication title -
journal of proteome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.644
H-Index - 161
eISSN - 1535-3907
pISSN - 1535-3893
DOI - 10.1021/acs.jproteome.1c00657
Subject(s) - proteome , extracellular vesicles , proteomics , human proteome project , human plasma , human blood , computational biology , blood proteins , bioinformatics , biology , chemistry , microbiology and biotechnology , physiology , biochemistry , chromatography , gene
The study of proteins circulating in blood offers tremendous opportunities to diagnose, stratify, or possibly prevent diseases. With recent technological advances and the urgent need to understand the effects of COVID-19, the proteomic analysis of blood-derived serum and plasma has become even more important for studying human biology and pathophysiology. Here we provide views and perspectives about technological developments and possible clinical applications that use mass-spectrometry(MS)- or affinity-based methods. We discuss examples where plasma proteomics contributed valuable insights into SARS-CoV-2 infections, aging, and hemostasis and the opportunities offered by combining proteomics with genetic data. As a contribution to the Human Proteome Organization (HUPO) Human Plasma Proteome Project (HPPP), we present the Human Plasma PeptideAtlas build 2021-07 that comprises 4395 canonical and 1482 additional nonredundant human proteins detected in 240 MS-based experiments. In addition, we report the new Human Extracellular Vesicle PeptideAtlas 2021-06, which comprises five studies and 2757 canonical proteins detected in extracellular vesicles circulating in blood, of which 74% (2047) are in common with the plasma PeptideAtlas. Our overview summarizes the recent advances, impactful applications, and ongoing challenges for translating plasma proteomics into utility for precision medicine.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here