Understanding Neuromuscular Disorders
Wet Lab
Biomarkers
We work on the identification of biomarkers in patients and animal models. We study how molecular signatures in body fluids can predict clinically meaningful milestones. This work includes development of quantitative lab methods, statistical modeling and omics data integration.
This work is done in collaboration with the teams of Dr. Erik Niks and Dr. Hermien Kan.
Spatial Biology
We investigate how omic signatures relate to histological observations in skeletal muscle and brain. This allows us to link biomarkers signatures to changes in tissue morphology (e.g. muscle fibrosis) and understand which cell types are involved by integrating single cell and spatial data.
This work is done in collaboration with the team of Dr. Ahmed Mahfouz.
RNA Biology
We aim to understand the regulation of neuromuscular genes. By studying transcriptional dynamics and RNA binding proteins we aim to better understand how neuromuscular genes are regulated and improve RNA targeting therapies.
This work is done in collaboration the team of Prof. Annemieke Aartsma-Rus.
Dry Lab
Knowledge Graphs
We use knowledge graphs such as structured reviews to harvest previous knowledge from databases. We put our wet lab data in perspective by integrating new data with previous knowledge across different disciplines such as omic, clinical and behavioural data.
This work is done in collaboration with the BioSematincs group of Dr. Marco Roos.
Methods for Statistical Analysis
We develop new statistical tools matching our clinical and biological questions. We focus especially on modeling of biomarkers and clinical data in longitudinal studies with the aim to identify association and predict relevant disease milestones.
This work is done in collaboration with the team of Dr. Roula Tsonaka.
Latest Research
Biomarkers
van de Velde et al, Neurology, 2023
Spatial Biology
Heezen et al, Nat. Commun. 2023
RNA Biology
Bizot et al, Mol Ther Nucl Acids, 2022
