This is a project which is currently making use of HPC facilities at Newcastle University. It is active.
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This project investigates the landscape of double-stranded RNA (dsRNA) in endothelial cells and its relationship to A-to-I RNA editing. Using high-throughput sequencing datasets, we aim to characterise genome-wide dsRNA-forming regions, identify editing signatures, and examine how these features influence endothelial biology and innate immune activation. The HPC facility will be used to run large-scale bioinformatics pipelines for read alignment, RNA editing analysis, dsRNA prediction, and transcriptomic profiling. The resulting dataset will provide new insights into RNA structure–function relationships and the regulation of RNA editing in the vascular endothelium.
This project involves large-scale bioinformatics analysis of endothelial double-stranded RNA (dsRNA) profiles and A-to-I RNA editing signatures. The workflow will use standard and custom computational pipelines for processing high-throughput sequencing datasets, including RNA-seq, long-read sequencing, and dsRNA-enrichment assays.