Huiwen Zheng

The paper develops a computational method to assess tissue-specific gene expression of essential genes in human and mouse using scRNA-seq data and finds that essential genes show consistent expression across cell types with significant co-expression networks and pathway enrichment.

This study evaluates 14 metrics for measuring cell-to-cell expression variability in scRNA-seq data and applies the best-performing metric to analyze changes in variability during B cell ageing.

This study identifies three distinct senescent subpopulations in human mesenchymal stem cells using single-cell RNA sequencing, revealing potential drug targets for senescence delay.