Prashant Kumar Srivastava

This study identifies miRNA-27b-5p and miRNA-497-5p as downstream effectors of IL-11-induced cardiac fibrosis and potential circulating biomarkers in aortic stenosis.

This study identifies a circRNA-miRNA-mRNA network in ischemic heart disease, revealing circNPHP1's role in enhancing angiogenesis by sponging miR-221-3p to upregulate VEGF-A and BCL2.

The paper uses single-cell Mendelian randomisation to identify cell-type specific genetic effects on brain disease and behaviour, revealing 118 genes with causal associations to 16 brain phenotypes.

This study uses transcriptomic profiling to identify common and distinct molecular features across Lewy Body diseases, highlighting RNA splicing dysregulation and potential therapeutic targets.

This study shows that 2i conditions increase transcriptional heterogeneity in pluripotent stem cells, driven by signaling pathways and negative feedback loss.

This paper introduces CRAFT, a computational framework for drug target identification, and validates Csf1R as a novel anti-epileptic target using pre-clinical models.

ABBA detects differentially methylated regions in WGBS data, identifies disease-associated methylation changes, and proposes a mechanism for glomerulonephritis via Ifitm3 promoter hypermethylation.