As the next-generation Human Proteome Project (HPP), the Proteomic Navigator of the Human Body (π-HuB) project is an ambitious global initiative proposed by Chinese scientists to better understand the human proteome. π-HuB will create a digital reference space of the proteome, take snapshots of individuals' proteomes and populations’proteomic adaptation to major exposures. Importantly, it will build a framework for computationally modeling a Meta-homo sapiens and ultimately empower clinical applications based upon the proteome-centric navigation.

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Countries

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Research groups

100

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Top experts

Proteomics Technology Development
Geo-Proteomics
 LifeTime-Proteomics
Nutri-Proteomics
Eco-Proteomics
Meta-Proteomics
Disease-Proteomics
Data Sciences
Computational Sciences
Clinical Translation

Major Initiatives

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Proteomics Technology Development

That is to advance proteomic technologies, developing standardized workflow SOPs, and ensuring the technical standardization.

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Geo-Proteomics

That is to use multi-modal proteomic technologies to generate single-cell (type) resolution atlases of all major human organs of different races (e.g., Negroid, Mongoloid, Australoid).

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LifeTime-Proteomics

That is to trace the proteomic trajectory of human reproduction, development, growth, and aging by quantifying dynamic changes in the proteomes of the five major prebiotic cycles (e.g., gametogenesis, fertilization, embryonic development, fetal development, and delivery) and the five major postbiotic cycles (e.g., adolescence, puberty, gestation, menopause, and old age).

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Nutri-Proteomics

That is to analyze the effects of four major dietary nutrition patterns (i.e., Western, subsistence, Japanese, and Mediterranean) on the human proteome in the corresponding populations.

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Eco-Proteomics

That is to map the proteomes of populations in six major ecological environments (e.g., hot/warm/cold climate, arid, polar/highland climate), and analyze the trajectory of human proteome to habitat patterns-perception-response-acclimatization-adaptation.

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Meta-Proteomics

That is to map the human microbiome from internal and external environment and its interaction with human proteome, and to construct the adaptation trajectory of human proteome under the symbiotic mode.

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Disease-Proteomics

That is to map the proteomes of various complex diseases (e.g., malignant tumors, cardiovascular diseases, neurodegenerative diseases, metabolic diseases, infectious diseases, etc.) at different stages of life, and to construct the proteomic evolutionary trajectories of the occurrence and development of these diseases and their association pathways with specific life stages, life states, and survival conditions.

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Data Sciences

That will be responsible for the construction of computing platforms and software platforms for subsequent data analysis and knowledge discovery to build a data processing channel from “data to information”.

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Computational Sciences

That aims to develop cutting-edge algorithms and seamless informatic pipelines to reconstruct of the Meta-Homo Sapiens model.

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Clinical Translation

That is accelerate the discovery and development of intervention and therapeutic strategies for proteomics-driven phronesis medicine.

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FRAMEWORK
DOCUMENTS

Funded by the Minister of Science and Technology of China, ~40 teams of proteomics researchers worldwide came together in 2020 to brainstorm future HPP projects. We have since established several multi-disciplinary working groups, organized numerous on-site meetings or webinars, and communicated with government and private funders. These fruitful discussions then allowed us to propose an ambitious project called the π-HuB (The Proteomic Navigator of the Human Body).

Partners

Chinese Academy of Sciences
Sun Yat-sen University
National University of Malaysia Institute of Medical Molecular Biology
Nanyang Technological University, Singapore
National University of Singapore
National Cancer Centre, Singapore
Brock Technology Co. LTD
China Association for Instrumental Analysis
China Human Proteome Organisation
Xijing Hospital of Air Force Medical University
Westlake University
Utrecht University, The Netherlands
European Bioinformatics Institute, Germany
Brock University, Canada
Thermo Fisher Technologies
Institute of Pathology, Fussenkenberg, Germany
Ibocaisi Technology Co., LTD
Hangzhou Institute for Advanced Study,UCAS
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π-HuB