Understanding DNA Repair: Visualizing Tumour Suppressors in Action.
The genome is constantly threatened by damaging agents, and accumulated damage can lead to cancer and other genetic disorders. Cells have evolved an intricate…
Post-transcriptional regulation depends on a complex choreography of protein–RNA interactions whose positional logic and combinatorial organisation remain difficult to decode at scale. Crosslinking and immunoprecipitation (CLIP) — particularly iCLIP — addresses this by enabling high-confidence mapping of these interactions at nucleotide resolution. I will present how we leverage these binding maps to derive positional regulatory principles (RNA maps) and reconstruct interaction networks through integrative analysis of multiple data types. Uniform data curation and interactive, multi-layered visualisations, delivered through a web-based platform (flow.bio), underpin this approach. I will further describe computational models that illuminate combinatorial protein–RNA assemblies and their roles in regulating pre-mRNA splicing and mRNA translation, as well as the evolutionary trajectories of these interactions.
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