Kaushik V Amancherla

This study identifies a tRNA-derived small RNA that reduces cardiac fibrosis and hypertrophy through cell-type-specific mechanisms in mouse and human cardiac cells.

This study uses spatial transcriptomics to analyze gene expression in heart transplant recipients during rejection, identifying distinct transcriptomic profiles associated with different rejection types and outcomes.

This study examines how aging and immunosuppression affect immune cell composition and rejection risk in heart transplant recipients, finding lower rejection odds with age and specific transcriptomic changes.

The paper shows genome or exome sequencing underestimates CHIP-disease associations due to low sensitivity and positive predictive value, requiring deep sequencing for accurate results.

The paper identifies obesity-related transcriptional changes in circulating extracellular vesicles and links them to adipose tissue epigenetics and inflammatory disease risk.

The paper integrates proteomics and transcriptomics with genetic analyses to identify molecular mechanisms and targets of coronary artery disease.

The paper uses single-cell RNA-sequencing to identify cell-specific gene expression patterns in high-grade cardiac allograft vasculopathy, finding increased CD4+ T central memory cells and monocytes, and 745 differentially expressed genes.