The broader goals of the project include facilitating the exploration of the RNA interactome for researchers and suggesting potential therapeutic interventions for diseases where RNA dysfunction is a significant factor, such as in cancers and genetic disorders.

This study aims to identify and understand mechanisms of intrinsic and acquired resistance to RNA Polymerase I (Pol I) inhibition in cancer, with the goal of developing strategies to overcome resistance to Pol I inhibitors.

This project investigates antibacterial activites of newly developed biomaterials.

This project includes cellular immunology techniques, bioinformatics and biophysical techniques.

This study explores how dynamic changes in ribosomal DNA (rDNA) chromatin contribute to cancer development, aiming to uncover mechanisms of malignant transformation and potential therapeutic targets.

We aim to genetically identify positive and negative interactors of hyrax to begin to unravel the function of Paf1 complex in the transposon defence in the germline.

Our goal is to harness extensive single-cell and spatial transcriptome datasets to decipher APA/AS patterns and gene expression simultaneously, expanding the scope beyond conventional single-cell expression analysis.

This study aims to develop effective combination therapies using RNA Polymerase I (Pol I) inhibitors to enhance therapeutic efficacy and combat resistance in cancer treatment through synergistic effects with other drugs or treatments.

While there is no perfect model to simulate all the pathologies associated with human AMD, we use a growing number of approaches to better understand the progression of AMD and retinal degenerations in general. These models also serve to test the efficacy of novel AMD therapeutic and diagnostic pipelines.

This project advances the development of innovative machine learning models designed to unearth conserved cis-regulatory RNA structures across vertebrate genomes. This initiative includes the creation of new RNA structure 2D/3D modeling and comparative genomics methods, underpinned by robust neural network architectures.

This study evaluates UBF (Upstream Binding Factor) as a potential target for cancer therapy by investigating its role in cancer cell growth and survival.

Exosomes are paramount to the pathogenesis of a plethora of neurodegenerative diseases but their role in retinal degenerations remains largely unknown. At the Clear Vision Research Lab we study exosomes using several miRNA-centered approaches.

A number of our research projects seek to understand how ribosomal biogenesis controls thrombopoiesis.

This project uses next generation sequencing (NGS) and mass spectrometry to investigate the possible existence of regulatory interactions between ribonucleic acids, enzymes and metabolites to connect gene expression and metabolism

The aim of this project is to understand the ways in which astrocytes can sense the activity at adjacent synapses and how in-turn they can release substances that modulate these synapses.