Probabilistic modelling approaches for deciphering post-transcriptional gene regulation
Beyond serving as simple intermediary molecules in the transfer of information from DNA to proteins, RNAs must be tightly regulated, and their correct processing is essential for maintaining cellular function. mRNA fate is strongly influenced by a diverse group of covalent modifications and interactions with RNA binding proteins, which regulate all stages of its life cycle. Recent technological advances are generating large quantities of data in this field, yet there is a need for new computational methods to fully utilise these datasets. To this end, we will develop powerful new frameworks to 1) investigate how RNA modifications are dynamically regulated at the single-cell level and 2) identify the molecular determinants underlying modification patterns. In addition, further research is required to elucidate emerging links between RNA modifications and neurological disorders. Our newly developed approaches will be applied in the context of Parkinson’s disease, aiming to pinpoint the regulatory roles and timings of RNA modification in dopaminergic neuron development.