N.-K. Wang

This paper uses surprisal information-theoretic analysis on spatial transcriptomic data from human glioblastoma to uncover hidden spatial programs and interactions not detected by standard methods.

This paper introduces a tunable lung organoid model to study how cellular composition drives epithelial plasticity and immune polarization in chronic lung diseases.

This study uses spatial transcriptomics to analyze Ewing sarcoma tumors, finding that localized tumors have more stromal enrichment and unique immune signals compared to metastatic tumors.

This study identifies pro-regenerative features in TSP2-deficient fibroblasts through single-cell analysis and functional assays, showing enhanced migration, proliferation, and neurogenesis.

This study develops an engineered whole-lung tissue model to study tissue organization and alveolar barrier function, showing improved barrier function with alveolar macrophages.

The paper identifies cell-to-cell communication between mesothelial cells and alveolar tuft cells that regulates lung regeneration after pneumonectomy.