James F. Martin

This study shows that loss of LATS1/2 in endothelial cells promotes a senescence-associated stemness (SAS) state, leading to atherothrombotic plaque formation through metabolic and mitochondrial dysregulation.

This paper introduces a method to increase the proportion of correctly repaired hepatocytes in the liver through transient gene inhibition and transgene delivery, achieving a 25% increase in targeted cells and five-fold transgene expression.

This study shows that ACL loss in the heart increases glucose oxidation and reduces citrate efflux, leading to metabolic remodeling and cardiac dysfunction.

This paper introduces scGIST, a deep learning method for designing spatial transcriptomics panels that prioritizes genes of interest while maintaining accuracy in cell type detection.

This study identifies distinct cellular processes in end-stage pediatric HCM using single-nucleus RNA sequencing, highlighting activated fibroblasts and stressed cardiomyocytes.

The paper presents the single-nucleus transcriptome of a systemic right ventricle from a patient with congenitally corrected transposition of great arteries, identifying increased insulin and angiogenesis signaling as potential beneficial adaptations to pressure overload.

This study shows that Hippo-deficient cardiac fibroblasts differentiate into osteochondroprogenitors and interact with macrophages, promoting fibrosis through CSF1 signaling.

This study identifies Playrr, a lncRNA that regulates Pitx2 dosage and protects against cardiac arrhythmias by modulating cardiac gene expression and atrial substrate.

This study identifies transcriptional and epigenetic mechanisms driving endothelial diversity across organs in mice, revealing conserved gene regulatory networks in the brain vasculature.

LoopPredictor predicts enhancer-promoter loops in cell types lacking long-range contact maps using ensemble machine learning and multi-omics features.

This study shows that ERBB2 activates YAP signaling through phosphorylation, driving EMT-like processes and cardiac regeneration in mice after injury.

The paper develops STANN, a neural network model to integrate spatial transcriptomics and scRNA-seq data, revealing spatial organization and intercellular communication principles in mouse olfactory bulb.

The paper generates Hi-C data from human cardiac tissue and develops a method to identify regulatory interactions, showing how disease variants intersect with these interactions to prioritize causative genes.