Irfan Rahman

This study uses single-cell RNA sequencing to identify flavor-dependent immune changes in mouse lungs exposed to e-cigarette aerosols, revealing altered neutrophil dynamics and increased T-cell cytotoxicity.

This study finds that smoking increases microplastic (MNP) and cadmium (Cd) levels in lung tissues, with a strong correlation between PE microplastics and Cd accumulation.

This paper introduces DeepSAS, a deep graph framework to identify senescent cells and their associated genes, revealing cell-type-specific senescence features in aging and disease.

The paper develops SenSet, a gene signature for human lung senescence, validated in 3D culture models and identifies cell-type specific senescence mechanisms in aging and disease.

The paper develops scDOT, a method combining spatial transcriptomics and single-cell RNA-seq with optimal transport to improve spatial mapping of senescent cells and identify novel genes involved in cell-cell interactions.

The paper evaluates RNA-seq differential analysis methods across simulated and real data, finding EBSeq and DESeq2 perform best under specific conditions.