Robin Khatri

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.

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.

The paper develops an in situ hybridization method to analyze T cell clonality in kidney biopsies and finds spatial clustering of clonally related T cells near antigen-presenting cells.

This study shows that the ISR/eIF2α pathway regulates cytokine mRNA translation in Trm cells, limiting their activity in homeostasis but enabling rapid response during inflammation or autoimmunity.

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.

DISCERN improves cell clustering and subtype detection by reconstructing missing gene expression, identifying novel T cell types in COVID-19 and predicting disease severity.

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

The paper performs a multiomic analysis of ALS patients and mouse models to identify sex differences, molecular subclusters, and the MAPK pathway as a therapeutic target.

The paper identifies an epigenetic neural signature in glioblastoma that correlates with poor prognosis and therapeutic vulnerability.