Gabriel B. Loeb

This study characterizes transcriptomic and metabolomic profiles in human urine, identifying distinct cell type repertoires and metabolic signals compared to plasma.

This paper identifies genetic variants in tubule epithelial regulatory elements that explain most heritable differences in human kidney function using GWAS, scATAC-seq, and functional assays.

The paper evaluates deep learning models for predicting chromatin accessibility and finds reduced performance in cell type-specific regions, suggesting strategies to improve accuracy.

The paper develops a human iPSC-derived sinoatrial node system to study heart rhythm-associated SNPs and identifies causal variants linked to heart rate and atrial fibrillation.

Portal integrates large-scale single-cell datasets efficiently and accurately by preserving biological variation across samples, platforms, and species.

Nearly 500,000 cells from 24 human tissues, many from one donor, characterize over 400 cell types and enable within-donor study of T-cell clones, B-cell mutation rates and splicing.