Liuyang Wang

This study identifies two HES1-expressing senescent CTC subpopulations with distinct metabolic and clinical outcomes, showing HES1-SOD1 antagonism influences metastatic relapse.

This study shows that mitochondrial copper deficiency drives MASLD by causing ferroptosis, senescence, and fibrosis, and that restoring copper homeostasis can alleviate disease.

The paper identifies sex-biased genes and eQTL across the human genome, showing their association with autoimmune diseases and sex differences in gene regulation.

This study shows that amyloid-β precursor protein (APP) promotes tumor growth by creating an immune-exclusive tumor microenvironment through suppression of CD8+ T cell and NK cell immunity.

This study shows that neoadjuvant anti-4-1BB therapy reduces metastasis by enhancing Tint cell clonal expansion and T cell egress in TNBC.

The paper identifies FCRL3 as a receptor for Yersinia pestis using a genome-wide association study and shows a variant in FCRL3 is linked to both plague susceptibility and hepatitis C risk.

B-Lightning identifies marker genes and cell subpopulations for specific sources of heterogeneity while filtering out confounding factors, improving sensitivity and robustness in single-cell data analysis.

The paper identifies shared genetic variants between critically ill COVID-19 and idiopathic pulmonary fibrosis by integrating GWAS with context-specific eQTLs and transcriptomics.

SifiNet identifies gene sets and annotates cells without clustering, showing better performance than existing methods on multiomic data.

This study identifies DDX39B as a regulator of FOXP3 RNA splicing, which influences T regulatory cell fate and immune tolerance, linking it to multiple sclerosis risk.

The paper identifies genetic variation in MCOLN2 that limits Salmonella Typhi replication via magnesium deprivation in human cells.

The paper identifies a nonsynonymous ERAP1 variant associated with increased susceptibility to influenza virus using scHi-HOST, a single-cell method for genetic susceptibility testing.

This paper introduces CDI, a new unsupervised measure to evaluate scRNA-seq clustering accuracy and select optimal parameters.

The paper connects genetic architecture of human diseases with molecular phenotypes to uncover mechanisms of COVID-19 susceptibility.

The paper identifies 70 gene-level associations with 26 infectious disease traits using transcriptome-wide association studies and explores their molecular basis and implications for host-pathogen interactions.

The paper links genetic variation to pathogen-induced cellular traits and disease by integrating GWAS data with clinical and experimental validation.