Joel Henderson

Proteomics of highly post-translationally modified proteins in kidney tubulointerstitium

This study quantifies matrisome proteins and their post-translational modifications in kidney tubulointerstitium from human biopsies to understand interstitial fibrosis and tubular atrophy progression.

Deep Learning Enables Automated Segmentation and Quantification of Ultrastructure from Transmission Electron Microscopy Images

This paper introduces TEAMKidney, a deep learning framework for automated segmentation and quantification of TEM images, showing improved accuracy and efficiency over existing methods.

Cellular and Spatial Drivers of Unresolved Injury and Functional Decline in the Human Kidney

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.

Digital pathology assessment of kidney glomerular filtration barrier ultrastructure in an animal model of podocytopathy

This paper develops a deep learning method to automate measurement of glomerular basement membrane and podocyte foot process widths in TEM images of podocytopathy mouse models, showing comparable accuracy to manual methods.

The chromatin landscape of healthy and injured cell types in the human kidney

The paper defines the chromatin landscape of healthy and injured kidney cells using multi-omics data, identifying regulatory elements and transcription factor networks involved in injury response.