Rijan Gurung

This paper develops a high-quality, scalable workflow for whole-cell single-cell RNA sequencing of adult cardiomyocytes and non-myocytes using in-cell ligation and split-pool barcoding, improving data quality and throughput.

The paper identifies macrophage-like vascular smooth muscle cells as dominant in early atherosclerosis and shows that targeting iron regulation inhibits their transition.

This paper links CAD GWAS variants to causal genes in SMCs using single-cell chromatin accessibility and Hi-C data, creating a scV2E2G map for disease mechanism discovery.