Yunguan Wang

This study shows that activated pulmonary fibroblasts during Aspergillus fumigatus infection enhance lung defense through immunomodulation and tissue remodeling.

MisTIC corrects transcript misassignment in spatial transcriptomics data, improving cell type identification, differential expression analysis, and RNA localization.

This study shows that liver cancer initiation depends on metabolic zonation but is not linked to premalignant clonal expansion.

This study shows that reprogramming endothelial cells in hypertensive mice with OSK factors reduces blood pressure by inhibiting EndMT and vascular damage.

The paper constructs a spatial transcriptomic atlas of capillary malformations, identifies EndMT and AJ disruption, and shows NR2F2 drives SMC phenotype acquisition in vascular lesions.

This study identifies macrophage-driven fibrotic gene programs in periductal fibroblasts of PSC using multi-omics data, highlighting potential therapeutic targets.

The paper introduces a Bayesian framework to map cell-cell interactions from spatial transcriptomics data, revealing new biological insights in cancer and immune responses.

This study shows ZNF397 loss leads to TET2-driven epigenetic changes, lineage plasticity, and resistance to AR-targeted therapies in AR-dependent cancers, with TET2 inhibitors reversing resistance.

This study identifies metabolic perturbations in PWB-derived iPSCs, showing upregulated glutathione and downregulated sphingolipid metabolism, which may contribute to laser resistance in PWB vasculature.

This study generates iPSCs from PWB fibroblasts and differentiates them into ECs that recapitulate disease phenotypes, identifying dysregulated pathways and genes involved in vascular malformations.

This study shows that IGFBP2-expressing midlobular hepatocytes contribute to liver homeostasis and regeneration after injury or fasting.

This study shows that Arid1a loss enhances pancreatic β-cell regeneration by activating EGF signaling, protecting against diabetes.

The paper introduces a deep-learning method called TPS to quantify zonal gene expression patterns in tissues like the liver, showing it can detect differences between strains, ages, and disease states.

The paper presents a LINCS Microenvironment perturbation dataset cataloging transcriptional, proteomic, epigenomic, and phenotypic responses of MCF10A cells to six ligands, enabling integrative analysis of molecular and phenotypic changes.

This paper develops Sprod, a method to denoise spatial transcriptomics data using location and image information, improving downstream analyses.

The paper predicts T cell and B cell immunogenic epitopes of SARS-CoV-2 using genomic data and compares them with SARS-CoV and MERS-CoV to identify immune vulnerability patterns.

This study identifies 77 potential therapeutics for IPF by analyzing gene expression and drug-perturbagen connectivity, including FDA-approved drugs and clinical trial compounds.

The paper identifies PP-2, a src-kinase inhibitor, as a novel corrector for ΔF508-CFTR in cystic fibrosis through in silico screening and experimental validation.