DC1
A multi-omics-AI/ML approach to understand the phenotypic diversity in ciliopathies (WP3).
Supervisor: Prof Ronald Roepman
Host institute: Radboud University Medical Center Nijmegen, The Netherlands
Secondments: Human Technopole, Italy; University of Heidelberg, Germany; University of Edinburgh, United Kingdom
Doctoral Program: Radboud University Nijmegen
Hi! I am Selin Yilmaz and I am a doctoral candidate from Turkey. I am incredibly passionate about cell biology, particularly the cytoskeleton.
During my Master’s studies in Koc University, I worked on membraneless organelles called centriolar satellites where I dissected their functions using chemogenetic tools.
I am thrilled to be part of the MSCA doctoral fellows and look forward to collaborating with esteemed scientists in an international and multidisciplinary environment.
A multi-omics-AI/ML approach to understand the phenotypic diversity in ciliopathies
Dysfunction of cilia causes a broad spectrum of hereditary diseases, but the molecular basis of the phenotypic diversity remains largely unknown. DC1 will address this by using a state-of-the-art molecular toolbox to determine the key similarities and differences of cilium composition during early development of different tissues in health and disease. We will focus on Senior-Løken syndrome, a retinal-renal ciliopathy, and deploy a multi-omics approach to assess and compare ciliary processes during renal and retinal hiPSC-derived organoid development. This approach includes CRISPR/Cas9-based genome editing to generate isogenic cell lines and in-loci tagged target genes, spatial optoproteomics, BioID-based live cell proteomics, and single nucleus RNA-seq. Machine learning-based data integration algorithms will be implemented for in-depth integration of data from with publicly available multi-omics datasets and other Cilia-AI-generated data to pinpoint regulatory pathways and therapeutic ciliopathy targets.