π-HuB: the proteomic navigator of the human body

He F 1 , Aebersold R 2 , Baker MS 3 , Bian X 4 , Bo X 5 , Chan DW 6 Show all authors , Chang C 7 , Chen L 8 , Chen X 9 , Chen YJ 10 , Cheng H 11 , Collins BC 12 , Corrales F 13 , Cox J 14 , E W 15 , Van Eyk JE 16 , Fan J 17 , Faridi P 18 , Figeys D 19 , Gao GF 20 , Gao W 21 , Gao ZH 22 , Goda K 23 , Goh WWB 24 , Gu D 25 , Guo C 26 , Guo T 27 , He Y 28 , Heck AJR 29 , Hermjakob H 30 , Hunter T 31 , Iyer NG 32 , Jiang Y 7 , Jimenez CR 33 , Joshi L 34 , Kelleher NL 35 , Li M 36 , Li Y 7 , Lin Q 37 , Liu CH 38 , Liu F 39 , Liu GH 40 , Liu Y 41 , Liu Z 42 , Low TY 43 , Lu B 44 , Mann M 45 , Meng A 46 , Moritz RL 47 , Nice E 48 , Ning G 49 , Omenn GS 50 , Overall CM 51 , Palmisano G 52 , Peng Y 53 , Pineau C 54 , Poon TCW 55 , Purcell AW 56 , Qiao J 57 , Reddel RR 58 , Robinson PJ 58 , Roncada P 59 , Sander C 60 , Sha J 61 , Song E 62 , Srivastava S 63 , Sun A 7 , Sze SK 64 , Tang C 65 , Tang L 7 , Tian R 66 , Vizcaíno JA 30 , Wang C 7 , Wang C 67 , Wang X 7 , Wang X 26 , Wang Y 7 , Weiss T 68 , Wilhelm M 69 , Winkler R 70 , Wollscheid B 71 , Wong L 72 , Xie L 7 , Xie W 46 , Xu T 73 , Xu T 28 , Yan L 57 , Yang J 73 , Yang X 7 , Yates J 74 , Yun T 75 , Zhai Q 76 , Zhang B 77 , Zhang H 78 , Zhang L 79 , Zhang L 7 , Zhang P 80 , Zhang Y 79 , Zheng YZ 28 , Zhong Q 58 , Zhu Y 7 , π-HuB Consortium

Affiliations 

  • 1 State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, China. hefc@bmi.ac.cn
  • 2 Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland. aebersold@imsb.biol.ethz.ch
  • 3 Macquarie Medical School, Macquarie University, Sydney, New South Wales, Australia
  • 4 Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University) and Key Laboratory of Tumor Immunopathology, Ministry of Education of China, Chongqing, China
  • 5 Institute of Health Service and Transfusion Medicine, Beijing, China
  • 6 Department of Pathology and The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA
  • 7 State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, China
  • 8 Key Laboratory of Systems Biology, Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
  • 9 Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, China
  • 10 Institute of Chemistry, Academia Sinica, Taipei, China
  • 11 National Biomedical Imaging Center, State Key Laboratory of Membrane Biology, Institute of Molecular Medicine, Peking-Tsinghua Center for Life Sciences, College of Future Technology, Peking University, Beijing, China
  • 12 School of Biological Sciences, Queen's University of Belfast, Belfast, UK
  • 13 Functional Proteomics Laboratory, Centro Nacional de Biotecnología-CSIC, Madrid, Spain
  • 14 Computational Systems Biochemistry Research Group, Max-Planck Institute of Biochemistry, Martinsried, Germany
  • 15 AI for Science Institute, Beijing, China
  • 16 Advanced Clinical Biosystems Research Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA
  • 17 Department of Liver Surgery and Transplantation, Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
  • 18 Centre for Cancer Research, Hudson Institute of Medical Research, Clayton, Victoria, Australia
  • 19 School of Pharmaceutical Sciences and Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
  • 20 The D. H. Chen School of Universal Health, Zhejiang University, Hangzhou, China
  • 21 Pengcheng Laboratory, Shenzhen, China
  • 22 Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
  • 23 Department of Chemistry, University of Tokyo, Tokyo, Japan
  • 24 Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
  • 25 School of Medicine, Southern University of Science and Technology, Shenzhen, China
  • 26 Department of Nutrition, Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
  • 27 School of Medicine, Westlake University, Hangzhou, China
  • 28 International Academy of Phronesis Medicine (Guangdong), Guangdong, China
  • 29 Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, the Netherlands
  • 30 European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK
  • 31 Molecular and Cell Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
  • 32 Department of Head & Neck Surgery, Division of Surgery & Surgical Oncology, Division of Medical Sciences, National Cancer Centre Singapore, Singapore, Singapore
  • 33 OncoProteomics Laboratory, Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
  • 34 Advanced Glycoscience Research Cluster, School of Biological and Chemical Sciences, University of Galway, Galway, Ireland
  • 35 Departments of Molecular Biosciences, Departments of Chemistry, Northwestern University, Evanston, IL, USA
  • 36 David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Ontario, Canada
  • 37 Department of Biological Sciences, Faculty of Science, National University of Singapore, Singapore, Singapore
  • 38 CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
  • 39 Department of Structural Biology, Leibniz-Forschungsinstitut für MolekularePharmakologie (FMP), Berlin, Germany
  • 40 State Key Laboratory of Membrane Biology, Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
  • 41 Cancer Biology Institute, Yale University School of Medicine, West Haven, CT, USA
  • 42 State Key Laboratory of Molecular Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
  • 43 UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
  • 44 Department of Critical Care Medicine and Hematology, The Third Xiangya Hospital, Central South University; Department of Hematology and Critical Care Medicine, The Third Xiangya Hospital, Central South University, Changsha, China
  • 45 Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
  • 46 School of Life Sciences, Tsinghua University, Tsinghua-Peking Center for Life Sciences, Beijing, China
  • 47 Institute for Systems Biology, Seattle, WA, USA
  • 48 Clinical Biomarker Discovery and Validation, Monash University, Clayton, Victoria, Australia
  • 49 Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
  • 50 Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
  • 51 Department of Oral Biological and Medical Sciences, University of British Columbia, Vancouver, British Columbia, Canada
  • 52 Glycoproteomics Laboratory, Department of Parasitology, University of São Paulo, Sao Paulo, Brazil
  • 53 Institute of Zoology, Chinese Academy of Sciences, Beijing, China
  • 54 Institut de Recherche en Santé Environnement et Travail, Univ. Rennes, Inserm, EHESP, Irset, Rennes, France
  • 55 Pilot Laboratory, MOE Frontier Science Centre for Precision Oncology, Centre for Precision Medicine Research and Training, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macau, China
  • 56 Infection and Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
  • 57 State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
  • 58 ProCan®, Children's Medical Research Institute, Faculty of Medicine and Health, The University of Sydney, Westmead, New South Wales, Australia
  • 59 Department of Health Sciences, University Magna Græcia of Catanzaro, Catanzaro, Italy
  • 60 Department of Systems Biology, Harvard Medical School, Boston, MA, USA
  • 61 State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
  • 62 Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
  • 63 Indian Institute of Technology Bombay, Mumbai, India
  • 64 Department of Health Sciences, Faculty of Applied Health Sciences, Brock University, St. Catharines, Ontario, Canada
  • 65 Center for Quantitative Biology, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
  • 66 Department of Chemistry, Southern University of Science and Technology, Shenzhen, China
  • 67 State Key Laboratory of Respiratory Health and Multimorbidity, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
  • 68 Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
  • 69 Technical University of Munich, Freising, Germany
  • 70 Advanced Genomics Unit, Center for Research and Advanced Studies, Irapuato, Mexico
  • 71 Institute of Translational Medicine, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
  • 72 Department of Computer Science, National University of Singapore, Singapore, Singapore
  • 73 Guangzhou National Laboratory, Guangzhou, China
  • 74 The Scripps Research Institute, La Jolla, CA, USA
  • 75 China Science and Technology Exchange Center, Beijing, China. yuntaotc123@qq.com
  • 76 CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
  • 77 Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA
  • 78 Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA
  • 79 State Key Laboratory of Medical Proteomics, National Chromatography R. & A. Center, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
  • 80 School of Mathematical Sciences, Peking University, Beijing, China
Nature, 2024 Dec;636(8042):322-331.
PMID: 39663494 DOI: 10.1038/s41586-024-08280-5

Abstract

The human body contains trillions of cells, classified into specific cell types, with diverse morphologies and functions. In addition, cells of the same type can assume different states within an individual's body during their lifetime. Understanding the complexities of the proteome in the context of a human organism and its many potential states is a necessary requirement to understanding human biology, but these complexities can neither be predicted from the genome, nor have they been systematically measurable with available technologies. Recent advances in proteomic technology and computational sciences now provide opportunities to investigate the intricate biology of the human body at unprecedented resolution and scale. Here we introduce a big-science endeavour called π-HuB (proteomic navigator of the human body). The aim of the π-HuB project is to (1) generate and harness multimodality proteomic datasets to enhance our understanding of human biology; (2) facilitate disease risk assessment and diagnosis; (3) uncover new drug targets; (4) optimize appropriate therapeutic strategies; and (5) enable intelligent healthcare, thereby ushering in a new era of proteomics-driven phronesis medicine. This ambitious mission will be implemented by an international collaborative force of multidisciplinary research teams worldwide across academic, industrial and government sectors.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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