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Human Plasma Proteome Project


Jochen Schwenk (Chair), Sweden
Eric Deutsch (Co-Chair), USA
Vera Ignjatovic (Co-Chair), Australia

Contact: office(at)hupo.org

The HPPP was initiated in 2002 as the means to overcome the major challenges (e.g. sensitivity and analytical depth) for proteomics studies utilising blood plasma. The HPPP provided the strategy to deal with the growing numbers of plasma samples being systematically collected, stored, and accessible through biobanks.

Overall aim: To collect and facilitate the advances in plasma protein analysis using different technologies, diseases, and concepts.

The HPPP serves to bring together different contributions to plasma proteomics from the perspective of mass spectrometry and affinity-based assays and provide a platform to discuss success stories, technological possibilities, viewpoints and perspectives on how plasma proteomics has and will continue to advance.


In a study lead by Jochen Schwenk and Eric Deutsch, 3,509 plasma proteins determined by mass spectrometry have been reported. The data are accessible through PeptideAtlas. The study also provides a historical view on the HPPP project and discusses the portfolio of targeted MS analysis, available multiplexed affinity assays, as well as considerations concerning sample handling and study design for plasma proteomics.

Activities for 2019:

Besides the publications shown below, HPPP has started to monitor recent publications to shortlist some of these in open access Zotero list of plasma proteomics papers. The aim is to keep this list updated, so we appreciate suggestions about published work that might be missing.

Collection of Recent Papers:

  1. Schwenk JM, et al., The Human Plasma Proteome Draft of 2017: Building on the Human Plasma PeptideAtlas from Mass Spectrometry and Complementary Assays DOI: 10.1021/acs.jproteome.7b00467
  2. Geyer, P. E.; et al. Revisiting biomarker discovery by plasma proteomics. Mol Syst Biol 2017,13 (9), 942.
  3. Smith, J. G et al., Emerging Affinity-Based Proteomic Technologies for Large-Scale Plasma Profiling in Cardiovascular Disease. Circulation 2017, 135 (17), 1651−1664.
  4. Huang Z, Ma L, Huang C, Li Q, Nice EC., Proteomic profiling of human plasma for cancer biomarker discovery, Proteomics. 2016 Aug 23. doi: 10.1002/pmic.201600240
  5. Geyer PE, Kulak NA, Pichler G, Holdt LM, Teupser D, Mann M., Plasma Proteome Profiling to Assess Human Health and Disease, Cell Syst. 2016 Mar 23;2(3):185-95. doi: 10.1016/j.cels.2016.02.015
  6. Keshishian H, Burgess MW, Gillette MA, Mertins P, Clauser KR, Mani DR, Kuhn EW, Farrell LA, Gerszten RE, Carr SA, Multiplexed, Quantitative Workflow for Sensitive Biomarker Discovery in Plasma Yields Novel Candidates for Early Myocardial Injury, Mol Cell Proteomics. 2015 Sep;14(9):2375-93. doi: 10.1074/mcp.M114.046813

Related and useful links:

HPPP Data Central, hosted by PeptideAtlas.
Comparison of the Plasma PeptideAtlas data with cHPP.
The proteins detected in plasma by MS, hosted by PeptideAtlas.
Popular plasma proteins detected by MS_and affinity-based assays.

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