Joseph P. Gaut

Pan-human Azimuth maps diverse human cells into a unified hierarchical typology, enabling cross-tissue comparisons and spatial transcriptomic annotation.

The paper builds a cross-species single-cell multi-omics kidney atlas to identify epithelial cells as a driver of epigenetic aging in diseased kidneys.

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 study identifies LDLR-mediated clathrin-dependent endocytosis as the mechanism by which HlyA from UPEC causes renal epithelial toxicity.

This paper constructs a 3D map of neurovascular nephron connectivity in the human kidney across the lifespan and identifies structural changes in development and disease.

This paper uses label-free imaging to analyze biomolecular and morphological features of diabetic kidney tissue in 2D and 3D, revealing distinct markers not previously observed.

The paper introduces DART-FISH, a multiplexed RNA in situ hybridization technique for high-resolution profiling of human tissues, demonstrating its application on brain and kidney samples.

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.

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 uses exome sequencing and scRNA-seq to identify donor and recipient immune cells in kidney transplants and finds distinct transcriptional profiles in donor macrophages and T cells.

This paper develops a deep learning model to classify glomeruli as normal or sclerotic in frozen kidney biopsy slides, achieving performance comparable to expert pathologists with limited training data.