Ongoing Projects:
Developing the diabetic kidney disease (DKD) disease map under the collaboration of the Disease Map Consortium (DMC)
Main objective: It is an international collaboration in order to construct the holistic molecular map of DKD based on the standard workflow developed by DMC to make a large-scale dynamic map. Next, This dynamic map can be used as a basis for drug repositioning and drug target identification.
Exploring the molecular mechanisms of cell polyploidy
Main objective: We believe that polyploid cells are the key drivers of tissue regeneration and cancer progression. Developing drugs that target cell polyploidy is of great importance in both fields.
Publication(s):
Cancer regeneration: Polyploid cells are the key drivers of tumor progression
Assessment of the role of polyploid cells in tissue regeneration and hemostasis
Main objective: Investigating the characteristics of polyploid cells and their functional role in tissue regeneration
Publication(s):
Exploring the metabolome profile of diabetic nephropathy
Main objective: To identify the metabolome profile of kidneys during the progression of diabetic nephropathy
Publication(s):
Completed Projects:
Using multi-omics data to generate holistic views towards diabetic nephropathy molecular pathogenesis and proposing novel drug targets
Main objective: To predict novel drug targets in diabetic nephropathy using an integrative approach
Publication(s):
Systems biology and machine learning approaches identify drug targets in diabetic nephropathy
Investigating the proteome profile of hypertensive nephropathy
Main objective: To explore the molecular basis of hypertensive nephropathy and propose novel therapeutic targets
Publication(s):
Proteomics to Metabolomics: A New Insight Into the Pathogenesis of Hypertensive Nephropathy
Investigating the transcriptome profile of kidneys in models of kidney fibrosis
Main objective: To explore the molecular basis of kidney fibrosis using omics data analysis, network construction, and dynamic modeling strategies
Publication(s):
Olfactory receptors contribute to progression of kidney fibrosis
Identifying fate determination mechanisms of macrophages as key regulators of tissue regeneration
Main objective: Using agent-based modeling and bifurcation analysis to reveal mechanisms of macrophage polarization and phenotype pattern distribution
Publication(s):
Developing computational techniques to integrate heterogeneous big biological data
Main objective: Omics data integration through network embedding methods especially deep learning-based approaches.
Publication(s):
A deep learning approach to predict inter-omics interactions in multi-layer networks
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Our research map:
