Laura M. C. Barisoni

This study identifies a MEF2C transcription factor network that regulates endothelial cell proliferation in diabetic kidney disease and shows that SGLT2i treatment can reverse its dysregulation.

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.

FUSION is a web-based tool that integrates spatial -omics data with histology to analyze tissue states and identify spatial linkages between molecular and histopathologic features.

The paper uses ontologies to integrate clinical, pathological, and molecular kidney data for precision medicine analysis.

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 high-risk nephrotic syndrome patients through transcriptome analysis and develops non-invasive biomarkers to predict disease progression.

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.