Wang Lab
Tissue Regeneration and Bioinformatics, GIBH
Research Interests
The research goal of Wang Lab is to reveal the principles of tissue regeneration, to fulfill tissue regeneration, and to utilize regenerative abilities for disease interference.
During the evolution, different species and tissues have distinct regenerative abilities. We focus on retina and liver to study cross-species regeneration. Some nonmamalian species such as zebrafish have a strong regenerative ability in retinas and liver. In mammals, regenerative ability is lost in retinas but maintained in the liver. Nevertheless, retinas undergo tissue degeneration in elders and liver fibrosis occurs after chronic injury.
To uncover cellular and molecular mechanisms behind these phenomena, we use single-cell sequencing and organoid technologies, develop computational and statistical approaches, and conduct cellular and animal experiments. Wang Lab is devoted to integrating computational analysis and biological experiments to explore tissue regeneration, tissue fibrosis and tissue degeneration.
Biological Interests
Tissue Regeneration
Tissue regeneration is an attractive power to interfere with tissue fibrosis, degenerative diseases, etc.
Tissue Fibrosis
Tissue fibrosis is from an excessive accumulation of extracellular matrix components and can affect any organ, including the liver.
Tissue Degeneration
Tissue degeneration frequently occurs in nervous systems of older people and leads to degenerative diseases such as age-related macular degeneration.
Computational Interests
Regulatory Networks
Regulatory networks are used to uncover gene regulatory relationships in diverse biological processes, e.g. tissue regeneration.
Multiomics analysis
Multiomics analysis including single-cell multiomics is performed to reveal biological insights of tissue regeneration.
Machine Learning
Machine learning especially deep learning is powerful to predict biomedical outcomes through learning high-throughput sequencing data and large-scale images.