Focus
We research how RNAs play crucial, collaborative roles in the regulation of gene expression in cardiovascular disease contexts. Our work focuses on the development, validation and application of computational tools that enhance our understanding of nuclear RNA distribution, interactions and functions, and how alterations in these aspects can contribute to disease.
Tools
Utilizing the ever-expanding collection of available next-generation sequencing data, we focus on designing effective analytical workflows to derive biological meaning from diverse data types, including RNA-DNA interaction data. Additionally, we leverage these data and use them as input to state-of-the-art machine learning methods to derive new insights into the molecular basis of RNA-mediated gene regulation.
Model
While our work is predominantly focused on fundamental principles of gene regulatory RNA behaviour, we seek to apply our methods and findings in the context of cardiovascular disease. This includes cellular models of dynamic cardiovascular processes, such as endothelial-to-mesenchymal transition, and the induction of cellular senescence.
They are networks in which RNA molecules play central roles in controlling gene expression and coordinating cellular responses.
RNAs interact with DNA, proteins, and chromatin to fine-tune gene expression programs involved in vascular function and disease.
Disruptions in RNA-mediated regulation can lead to altered cell behavior, contributing to cardiovascular pathologies.
