Atefeh Taherian Fard

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 uses patient-derived iPSCs and organoids to show mitochondrial dysfunction and oxidative stress in AT, which can be mitigated by ATM correction or antioxidants.

This study shows senolytic drugs reduce brain aging and COVID-19-related neuropathology by targeting senescent cells in human brain organoids and mice.

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.

scShapes identifies distribution shape differences in scRNA-seq data, detecting genes with distinct expression patterns beyond mean shifts.

This study evaluates how structural properties of scRNA-seq data affect proximity metric performance and recommends tailored approaches for improved clustering.

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