Mathematical reconstruction of cancer networks
Supervisors:
Julio Saez-Rodriguez (external)
Project Details:
Gene regulatory networks (GRNs) are complex and still uncharacterized sets of regulators and interactions that govern cellular processes, such as proliferation and metabolic adaptation. In cancer, deregulation of their delicate balance may result in uncontrolled tumour growth. Hypoxia, i.e. lack of oxygen, is the main difference between normal and cancerous tissue, and associated with tumour aggressiveness [1] and resistance to treatment [2]. We have used co-expression networksto derive a hypoxia signature [3, 4], which is now being translated to the clinic as biomarker.
This project will develop the first executable GRN model of HIF1 signaling. The model will be trained using data from cell line experiments and clinical studies. This will enable the discovery of new HIF1 targets and generation of testable biological hypotheses on their biology, which we will validate in the lab. It will also highlight candidate therapeutic targets, and inform the design of future biomarker studies.
The student will work closely with members of Prof Buffa’s CRUK Functional Genomics and ERC Tumour Microenvironment Modelling labs, and collaboration with Prof Saez-Rodriguez group. Importantly, we expect the results produced in this project will have broader methodological impact on the development of integrative genomic approaches.
Key Dates for October 2021 Entry
We remain open to applications for October 21 entry and welcome late applications from candidates. Please review the remaining project list or contact the Graduate Studies Office if alternative supervision by an oncology PI is being proposed.
Please note that any applications received after 9th January are not eligible for University scholarships.
Please refer to our individual course pages to check the admissions status of each course.
Contact Us
Tel: +44 (0)1865 617410
Email: graduate.studies@oncology.ox.ac.uk
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