• Research direction

Research direction: proteomics and disease markers
Research contents

      [1] Development of new techniques: efficiently increase sensitivity of proteome identification by adopting new material enrichment, new separation techniques, microfluidic techniques, optimized MS techniques and bioinformatics techniques so as to absolutely and relatively quantify whole proteome, identify and quantify key posttranslational modifications. Develop new MS based ELISA techniques and ELISA instruments for clinical test so as to conduct highly sensitive, high throughput , real time, in situ test of target proteins.
      [2] Glycoproteomics and glycomics: develop techniques and software for separation, enrichment and identification of glycolproteome and glycome; analyze structure of carbohydrate chain. Study the relation between carbohydrate chain structure and protein function. Establish carbohydrate chain database/glycoprotein database. 
      [3] Functional proteomics and disease proteomics: (1)study protein expression and distribution in key organs of human body, (2) establish database of protein expression in healthy people to study key physiological processes or pathologies, especially dynamic changes of proteomes in liver diseases, tumors, cardiovascular diseases, birth defects, gynecological and children diseases, including changes of protein expression level and posttranslational modification; investigate the relationship between proteome and genome, transcriptome and metabolome, in order to provide translational medicine with diagnostic and prognostic molecular markers and therapeutic targets.  
Research direction: bioinformatics and medical systems biology
Research contents

       Integrate data of proteomes, genomes, transcriptomes, epigenomes and cell metabolomes particularly generated from Institute of Biomedical Sciences and Shanghai School of Medicine, and develop data integration technology, analytical technology, and software for  omics analysis and systems biology analysis.
       Biomedical Big Data studies integrate enormous clinical phenotype data and omics data from basic research, screen for candidate genes and proteins as disease molecular markers and therapeutic targets, provide efficient analysis methods, and correlate physiological and pathological signal pathways to their interactive-networks.
       Research of computational systems biology mainly focuses on developing new algorithms and mathematic models catering to data analysis and systems simulation; particularly in system modeling, simulates biological phenomena by numerical experiments and mathematical modeling can elucidate the underline mechanisms and guide the experimental validation; conduct virtual bio-experiments on computers to illustrate pathogenic mechanism and discover key factors for diagnosis and treatment.
        Establish a teaching and research branch for biomedical informatics  to train teachers and researchers. Actively support education of undergraduate and graduate student of the School of Medicine and offer new courses to strengthen computational thinking of these students and train interdisciplinary talents mastering biomedical informatics.
Research direction: structural biology and small active molecule
Research Contents

       Research structural biology of targets found in above researches of proteomics, epigenetics, molecular cell biology of metabolism, bioinformatics and systems biology, and screen potential lead small molecules which can aid or block protein structures and conformations of the targets, so as to explore that whether functions of the target proteins can be changed for treating diseases.  
       Structural biology of targets found by researches of epigenetics and metabolic enzymes. Reveal the mechanisms of catalysis and enzyme activity regulation of key protein TET in DNA demethylation process. Clarify catalysis, substrate recognition and activity regulation mechanism of two typical histone demethylases. Illuminate the molecular mechanism of the relationship between histone methylation and DNA methylation modification. Lay a foundation for design of drugs for targeting enzymes regulating epigenetics. 
        Structural biology of key regulatory proteins related to stem cells and brain tumors. Clarify structures and functions of important regulatory proteins and protein complexes in asymmetric division of stem cells and reveal how these proteins and complexes cooperate to achieve precise regulation in the asymmetric division of stem cells. 
        Research and screen lead small active molecules related to the targets. Develop and screen drugs based on structural biology. Establish a selected compound library and a drug-like small molecule library and focus on targets of tumors and HBV.