About the Project
About the research
Co-option of stromal cells and the tumour greatly influences tumour initiation, metastasis and particularly drug resistance. They altered profiling of gene expression and tumour metabolism in response to inflammatory infiltration and that is partially involved in cytokine networks.
The identification of cytokine signalling for gene expression and metabolisms across stromal cells and tumour will help us to understand the mechanisms of the tumour growth and potentially offer opportunities for biomarker discovery and hence therapeutic targets.
The student will acquire expertise in a wide range of state-of-the-art molecular and cell biological techniques, and bioinformatics analysis; consequently providing an excellent foundation for a research career. Formalised training and assessment of each technique by our members of the laboratory as appropriate. Our laboratory has clearly defined protocols to support training in specific experimental techniques. Standard operating procedures are regularly updated to ensure that methods are optimal.
As well as the specific training detailed above, students will have access to high-quality training in scientific and generic skills, as well as access to a wide-range of seminars and training opportunities through the many research institutes and centres based in Oxford.
The Department has a successful mentoring scheme, open to graduate students, which provides an additional possible channel for personal and professional development outside the regular supervisory framework. We hold an Athena SWAN Silver Award in recognition of our efforts to build a happy and rewarding environment where all staff and students are supported to achieve their full potential.
For October 2020 entry, the application deadline is 10th January 2020 at 12 noon (midday).
Please visit our website for more information on how to apply.
Hutchins GGA. et al, (2018), Histopathology, 72, 391 - 404
Rodriguez-Broadbent H. et al, (2017), Int J Cancer, 140, 2701 – 2708
Sveen A. et al, (2017), Genome Med, 9
Kerr RS. et al, (2016), Lancet Oncol, 17, 1543 - 1557
Chen L. et al, (2016), Oncotarget, 7(8):9353-67
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