Major Initiatives
Proteomics Technology Development
Geo-Proteomics
Lifetime-Proteomics
Nutri-Proteomics
Eco-Proteomics
Meta-Proteomics
Disease-Proteomics
Data Sciences
Computational Sciences
Clinical Translation
That is to advance proteomic technologies, developing standardized workflow SOPs, and ensuring the technical standardization.
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).
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).
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.
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.
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.
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.
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”.
That aims to develop cutting-edge algorithms and seamless informatic pipelines to reconstruct of the Meta-Homo Sapiens model.
That is accelerate the discovery and development of intervention and therapeutic strategies for proteomics-driven phronesis medicine.
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