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  BBSRC EASTBIO DTP: An integrative approach to understanding the mechanobiology of liver regeneration


   College of Medicine and Veterinary Medicine

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Prof Miguel Bernabeu Prof N Henderson  No more applications being accepted  Funded PhD Project (European/UK Students Only)

About the Project

The liver has a unique ability to regenerate [1], however in many cases of chronic liver disease this regenerative capacity is overwhelmed. Currently the only effective treatment is liver transplantation; nevertheless demand for donor organs greatly outstrips supply. Hepatocytes comprise ~80% of the liver mass and are the primary functional cells of the liver. It has been well described that during liver regeneration hepatocytes proliferate to restore functional liver mass, however the molecular regulation of this process is poorly understood. In particular, how neovascularisation and changes in hepatic blood flow dynamics regulate this process is largely unknown. Using a combination of cutting edge intravital imaging techniques and computational modelling we aim to understand in greater depth how the liver regenerates. This will in turn pave the way for the development of new, targeted therapies to augment regeneration of the patient’s own liver.

With the development of intravital imaging and improvements in transgenic mouse technology it is now possible to study biological processes in real time. Building on a published method [2], the laboratory of Prof. Neil Henderson has recently established an abdominal imaging window technique in mice allowing for the long-term imaging of the liver in homeostasis and regeneration. In combination with mouse lines expressing fluorescent endothelial, erythrocyte, and hepatocyte cell cycle reporters, this allows for the targeted imaging of the regenerative niche in the liver.

The group of Dr Miguel O. Bernabeu has pioneered the development of computational models of blood flow for the study of developmental vascular remodelling processes. In close collaboration with vascular biology colleagues, they have contributed to establishing that cell polarisation and migration in response to blood wall shear stress is the main driver behind developmental vascular remodelling [3] and identified the role of Wnt signalling in specifying endothelial cell sensitivity to wall shear stress.

In this project, we will leverage intravital microscopy, image processing, and computational modelling to investigate blood flow dynamics and neovascularisation in the regenerating liver, at both the organ level and cellular level, i.e. in the regenerative niche, and how these processes regulate hepatocyte proliferation and liver regeneration. This combination of intravital imaging and computational approaches provides a unique opportunity to investigate the dynamics of liver homeostasis and regeneration.

This is a unique opportunity for a student with a background in Mathematics, Physics or Engineering to develop new quantitative approaches to study liver regeneration. The student will receive cutting-edge training in intravital microscopy, image processing, and image-based computational modelling of blood flow. The student will benefit from interactions with a large national and international network of researchers applying experimental and theoretical approaches for the characterisation of microvascular biomechanics and mechanobiology, both in development and in disease.

Applications:
Completed application form along with your curriculum vitae should be sent to our PGR student team at [Email Address Removed]

References:
Please send the reference request form to two referees. Completed forms for University of Edinburgh College of Medicine and Veterinary Medicine project should be returned to [Email Address Removed] by the closing date: 5th December 2018.

It is your responsibility to ensure that references are provided by the specified deadline.

Download application and reference forms via:
https://www.ed.ac.uk/roslin/postgraduate/bbsrc-eastbio-dtp

Funding Notes

Eligibility:
All candidates should have or expect to have a minimum of an appropriate upper 2nd class degree. To qualify for full funding students must be UK or EU citizens who have been resident in the UK for 3 years prior to commencement.

References

[1] Miyaoka Y, Miyajima A. To divide or not to divide: revisiting liver regeneration. Cell Division. 2013;8:8. doi:10.1186/1747-1028-8-8.
[2] Ritsma L, Steller EJ, Ellenbroek SI, Kranenburg O, Borel Rinkes IH, van Rheenen J. Surgical implantation of an abdominal imaging window for intravital microscopy. Nat Protoc. 2013 Mar;8(3):583-94. doi:10.1038/nprot.2013.026.
[3] Franco CA, Jones ML, Bernabeu MO, Geudens I, Mathivet T, et al. Dynamic Endothelial Cell Rearrangements Drive Developmental Vessel Regression. PLOS Biology. 2015 13(4):e1002125. doi:10.1371/journal.pbio.1002125

Project supervisors

Career overview

Miguel O. Bernabeu completed a D.Phil. in Computational Biology at the University of Oxford in 2011, focusing on the development of computational methods for simulating ventricular cardiac electrophysiology. This work laid the foundation for multiple subsequent Ph.D. projects and was crucial to the success of the EU-FP7 grant VPH-preDiCT, which involved collaboration with pharmaceutical companies to integrate mathematical modelling into drug cardiotoxicity research. His research was presented at the Heart Rhythm 2011 conference, a significant event in cardiac science. In 2011, Bernabeu joined the Centre for Mathematics and Physics in the Life Sciences and Experimental Biology (CoMPLEX) at University College London, where he investigated the relationship between haemodynamics and vascular remodelling using both computational and experimental methods. His contributions were featured in the New Scientist magazine and published in various journals and conferences. During this period, he recognised the necessity of combining experimental and computational techniques to tackle critical questions regarding blood vessel responses to flow conditions. In 2015, Bernabeu was appointed to The University of Edinburgh as a Chancellor’s Fellow, establishing his first research group at the Centre for Medical Informatics, Usher Institute. He was promoted to Senior Lecturer in 2019. His research group has received funding from several prestigious organisations, including Fondation Leducq, the European Commission, EPSRC, MRC, the British Heart Foundation, The Alan Turing Institute, and Diabetes UK. In May 2021, Bernabeu became the Deputy Director of The Bayes Centre, the university's innovation hub for Data Science and Artificial Intelligence, where he oversees research strategy and delivery as Director of Research.


Research interests

Miguel O. Bernabeu's research focuses on vascular structure and function, particularly the relationship between abnormal vascularisation and various diseases such as myocardial infarction, stroke, and tumourigenesis. Their work aims to advance the understanding of vascular biology and biotransport, translating findings into next-generation vascular normalisation therapies. Specific research interests include the development of automated methods for diagnosing eye and systemic diseases through retinal scans, studying the tumour microvascular environment's impact on treatment, and investigating vascular remodelling during angiogenesis. The approach combines theoretical mathematical modelling and machine learning, in collaboration with vascular and cancer biologists and clinicians.

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