Shuang Wang

This study identifies Wnt9b-Sfrp2 crosstalk between endothelial and stellate cells as a driver of fibrosis resolution in MASH using single-cell and spatial profiling.

This study identifies EphB2 as a driver of MASH liver fibrosis and shows that targeting EphB2 with small molecule inhibitors can reduce fibrosis in mouse models.

The paper predicts neuronal subtype-specific metabolic changes in neurodegenerative and neuropsychiatric diseases using a systems biology approach and integrates metabolic networks with single nucleus RNA sequencing data.

TrimNN identifies spatial cell organization patterns from spatial transcriptomics and proteomics data to reveal associations between cell-type arrangements and phenotypes.

This study shows that mannose reduces liver steatosis and fibrosis in MASH by inhibiting fructose metabolism, offering a potential therapeutic approach.

This study evaluates in vivo anti-FAP CAR T therapy for MASH, showing reduced fibrosis and restored liver homeostasis through HSC depletion and immune modulation.

scGNN+ integrates ChatGPT with graph neural networks to improve code optimization, tutorial generation, and visualization in single-cell research.

This paper introduces TrimNN, a neural network to estimate network motifs in spatial cell graphs, identifying significant motifs in Alzheimer's disease mouse models.