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A high-stringency blueprint of the human proteome

Subash Adhikari, Edouard C. Nice, Eric W. Deutsch, Lydie Lane, Gilbert S. Omenn, Stephen R. Pennington, Young‐Ki Paik, Christopher M. Overall, Fernando J. Corrales, Ileana M. Cristea, Jennifer E. Van Eyk, Mathias Uhlén, Cecilia Lindskog, Daniel W. Chan, Amos Bairoch, J. Waddington, Joshua Justice, Joshua LaBaer, Henry Rodriguez, Fuchu He, Markus Kostrzewa, Peipei Ping, Rebekah L. Gundry, Peter Stewart, Sanjeeva Srivastava, Sudhir Srivastava, Fábio César Sousa Nogueira, Gilberto B. Domont, Yves Vandenbrouck, Maggie P. Y. Lam, Sara A. Wennersten, Juan Antonio Vizcaíno, Marc R. Wilkins, Jochen M. Schwenk, Emma Lundberg, Nuno Bandeira, György Marko‐Varga, Susan T. Weintraub, Charles Pineau, Ulrike Kusebauch, Robert L. Moritz, Seong Beom Ahn, Magnus Palmblad, M Snyder, Ruedi Aebersold, Mark S. Baker

2020Nature Communications217 citationsDOIOpen Access PDF

Abstract

The Human Proteome Organization (HUPO) launched the Human Proteome Project (HPP) in 2010, creating an international framework for global collaboration, data sharing, quality assurance and enhancing accurate annotation of the genome-encoded proteome. During the subsequent decade, the HPP established collaborations, developed guidelines and metrics, and undertook reanalysis of previously deposited community data, continuously increasing the coverage of the human proteome. On the occasion of the HPP's tenth anniversary, we here report a 90.4% complete high-stringency human proteome blueprint. This knowledge is essential for discerning molecular processes in health and disease, as we demonstrate by highlighting potential roles the human proteome plays in our understanding, diagnosis and treatment of cancers, cardiovascular and infectious diseases.

Topics & Concepts

Human proteome projectProteomeBlueprintComputational biologyHuman genomeBiologyData scienceGenomeBioinformaticsComputer scienceProteomicsGeneticsGeneEngineeringMechanical engineeringAdvanced Proteomics Techniques and Applicationsvaccines and immunoinformatics approachesGenetics, Bioinformatics, and Biomedical Research
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