Kiarash Khosrotehrani

This paper identifies 116 risk loci for melanoma through GWAS, links susceptibility to immunity and Wnt signaling, and develops a PRS improving risk prediction.

This paper describes a tissue multiplexing method to increase spatial transcriptomics output from limited pathology specimens by combining multiple tissues on a single capture array.

STimage predicts gene expression and classifies cell types from histopathological images, improving robustness and interpretability for cancer and disease analysis.

The paper integrates 12 spatial and single-cell technologies to analyze cellular interactions and signatures in three skin cancers, identifying key therapeutic targets and genetic associations.

The paper develops MMCCI, a computational pipeline to integrate cell-cell interaction results across samples, and applies it to uncover global and condition-specific ligand-receptor interaction patterns in aging brain and melanoma datasets.

This study shows that primed endothelial colony forming cells improve brain outcomes in growth restricted newborn piglets by repairing vasculature and reducing inflammation.

This study shows that host genetics significantly influences murine skin microbiota composition during homeostasis and wound healing, with genetic background explaining most variation in microbiota and healing speed.

This paper identifies a 16-gene molecular signature that accurately classifies mesenchymal stromal cells across sources and conditions.