Victor G. Puelles

SCALE: Unsupervised Multi-Scale Domain Identification in Spatial Omics Data

SCALE identifies multi-scale functional domains in spatial transcriptomics data using neural graph learning and entropy-based search, achieving state-of-the-art performance on simulated and biological datasets.

Spatio-temporal interaction of immune and renal cells determines glomerular crescent formation in autoimmune kidney disease

This study uses spatial transcriptomics to show that immune and renal cell interactions drive glomerular crescent formation in RPGN through PDGF and TGF-β signaling to PECs.

Community-based biomedical context to unlock agentic systems

This paper introduces BioContextAI, an open-source initiative that provides standardized access to validated biomedical knowledge to improve the reliability of AI systems in biomedical research.

PCA-based spatial domain identification with state-of-the-art performance

This paper introduces NichePCA, a PCA-based method for spatial domain identification that performs competitively with ten state-of-the-art methods across six spatial transcriptomic datasets.

A universal preservation protocol for multi-omic and histological analysis of kidney tissue

This study demonstrates that RNAlater preserves kidney biopsies effectively for single nucleus RNA sequencing, proteomics, and histopathology, but not metabolomics.

SARS-CoV-2 Spike Protein Accumulation in the Skull-Meninges-Brain Axis: Potential Implications for Long-Term Neurological Complications in post-COVID-19

This study shows SARS-CoV-2 spike protein accumulates in the skull-meninges-brain axis, causing brain cell death and long-term neurological effects.

Synuclein alpha accumulation mediates podocyte injury in Fabry nephropathy

This study identifies alpha-synuclein accumulation as a mediator of podocyte injury in Fabry disease, showing that targeting SNCA improves lysosomal function beyond enzyme replacement therapy.

The proteome of small urinary extracellular vesicles after kidney transplantation as an indicator of renal cellular biology and a source for markers predicting outcome

This study identifies PCK2 as a biomarker for renal function 12 months after living donor kidney transplantation using proteomic analysis of urinary extracellular vesicles.