Christopher Lund O'Connor

This study maps allele-specific expression in human kidney disease, finding increased glomerular ASE associated with better disease outcomes.

This study identifies HA and its receptors CD44/RHAMM as key drivers of obesity-related glomerulopathy, showing their role in renal inflammation, fibrosis, and dysfunction, and suggests they as therapeutic targets.

This paper benchmarks multimodal single-cell data integration methods to improve kidney reference atlas quality by identifying adaptive states and rare cell types.

The paper develops a pipeline combining micro-dissection and long/short-read sequencing to identify compartment-specific isoforms in kidney tissue, finding distinct isoform expression in glomerular and tubulo-interstitial compartments.

The paper identifies a transcriptional signature of glomerular disease using single-cell profiling of human kidney organoids and validates it in disease cohorts.