Edgar A. Otto

The paper presents a multi-modal atlas of human kidney disease, identifying cellular and spatial mechanisms of injury resolution or failure and linking them to clinical outcomes.

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

This study shows that glutamine deprivation promotes podocyte maturation in renal organoids through metabolic and transcriptomic changes during differentiation.

The paper creates a high-resolution cellular atlas of healthy and injured kidney cell states and niches using single-cell and spatial technologies, identifying molecular signatures and pathways related to kidney injury.

The paper constructs a reference tissue atlas of the human kidney using multi-omics data to identify cell types, pathways, and genes across nephron segments and interstitium.

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

This study uses single-cell transcriptomics to analyze human fetal kidney development, identifying 17 cell clusters and their lineage trajectories.

The paper identifies eQTLs in glomerular and tubulointerstitial kidney tissues from nephrotic syndrome patients, finds tissue-specific eQTLs, and integrates them with a GWAS to identify associated genes.