Projects
Investigating cell type specific defects in protein quality control across the genetic landscape of Parkinson’s disease. KU Leuven
Brachypodium as a model to understand the genetic regulation of seed dormancy in temperate grasses KU Leuven
Development of an innovative hiPSC-derived cardiac-microtissue-based functional assay to determine the pathogenicity of genetic variants with uncertain significance identified in patients with inherited cardiac arrhythmia; University of Antwerp
Expanding the genetic landscape of Congenital Disorders of Glycosylation using genomic techniques - RNA-Seq KU Leuven
Salmonella biofilm formation in chronic carrier pigs: impact on gut colonization, genetic markers for functional diagnostics and potential as target for non-antibiotic therapy KU Leuven
The goal of this project is to expand the knowledge on the role of Salmonella biofilm in pig farming. In a first subgoal we aim to investigate Salmonella biofilm formation as a strong contributor to its chronic colonization in the pig gut. In a second subgoal we aim to identify genetic markers for the capacity of biofilm formation. These markers can be included in fuctional diagnostic tools that focus on a phenotypic functional feature of ...
Predictive genetic markers for targeted therapy in gynaecological cancers: bridging the gap between “one-size-fits-all” and personalized treatment KU Leuven
CONDITIONAL: COvid-19: iNterplay between genetic preDisposITION and immunologicAl Landscape Ghent University
This prospective, multidisciplinary and multicentric study aims to gain insights into genetic defects, immunological pathways, and expression shifts that may render some individuals more prone to severe COVID-19. Integrated multi-omics analysis will be used to identify critical host genes and
pathways involved in the infectious process and pathophysiological mechanisms in previously healthy young individuals with severe COVID-19.
BioGraph: Accurately analyzing genetic interactions through the generation of random graphmodels Ghent University
Biological organisms can be understood through analysis of genetic interactions. Modeling this functionality is difficult and error-prone. To do better, we will develop artificial random graphs which allow mimicking reality. Generating random graphs is difficult, and involves probability
theory and statistics, differential equations, etc... Moreover, this has to be implemented efficientlyso computers can handle the data and calculate ...
Genetic control and physiological regulation of juvenility in apple (Malus x domestica Borkh.) KU Leuven
Apple (Malus x domestica Borkh.) is one of the main fruit tree crops cultivated in the world, and the most widely grown species of the genus Malus. One of the major challenges for the apple breeding industry is to overcome juvenility, i.e. the developmental phase at which the tree is dedicated to vegetative growth and hence is not competent to flower. The juvenile period in apple can last up to 8 years, hence strongly delaying phenotype-based ...