Research groups
Colleges
Esra Sengul
DPhil Student
I am studying in the Physiology Anatomy and Genetics DPhil program under supervision of Prof Mathilda Mommersteeg and co-supervision of Prof Carolyn Carr.
I undertook my MSc degree under the supervision of Prof Meltem Elitas in the Biomechatronics group at Sabanci University, where I worked on understanding Glioblastoma heterogeneity and its relationship with Tumor-Associated Macrophages (TAMs) in epithelial-mesenchymal transition. To achieve that, I have used 3D microfluidic cell culture platforms, dielectrophoresis, and conventional cell culture techniques. Prior to that, I completed my BSc thesis by analyzing circulating microRNAs expression levels in the thoracic aortic aneurysm and thoracic aortic dissection patients using droplet digital PCR (ddPCR) at Istanbul University.
In late 2021, I was awarded The Clarendon Fund in partnership with the Oxford Medical Research Council scholarship to start my DPhil and joined Tilly's group to study Astyanax mexicanus as a model to understand the underlying mechanisms of regenerative ability. The fish living in the rivers can repair their hearts after damage, whereas the cavefish have lost this ability (Stockdale et al. 2018). We are trying to find out what is so unique about fish that they can repair their hearts and will help find ways to repair the failing human heart.
Recent publications
Oxidative phosphorylation is required for cardiomyocyte re-differentiation and long-term fish heart regeneration.
Journal article
Lekkos K. et al, (2025), Nat Cardiovasc Res, 4, 1363 - 1380
Quantifying Deformation and Migration Properties of U87 Glioma Cells Using Dielectrophoretic Forces.
Journal article
Elitas M. et al, (2022), Biosensors (Basel), 12
nalysis of U87 glioma cells by dielectrophoresis.
Journal article
Sengul E. et al, (2022), Electrophoresis, 43, 1357 - 1365
Long-term migratory velocity measurements of single glioma cells using microfluidics.
Journal article
Sengul E. and Elitas M., (2021), Analyst, 146, 5143 - 5149
Single-Cell Mechanophenotyping in Microfluidics to Evaluate Behavior of U87 Glioma Cells.
Journal article
Sengul E. and Elitas M., (2020), Micromachines (Basel), 11

