Duncan Sproul Research Group
Epigenetics in Human Disease
Section: Genome Regulation
Research in a Nutshell
Our work focuses on understanding the role of epigenetic dysfunction in cancer, particularly breast cancer. Epigenetic marks signpost the DNA and are believed to help cells switch genes on and off. For example, to ensure that the genes that make haemoglobin are switched on in blood cells but not brain cells. Alterations in the levels epigenetic marks, are an intrinsic hallmark of cancer. However, we do not currently understand how this epigenetic dysfunction drives cancer and how it can be targeted to treat patients.
Our main focus is on understanding the molecular mechanisms underpinning the widespread alterations in the repressive epigenetic mark DNA methylation observed in breast cancer. We take an interdisciplinary approach combining computational analysis of large datasets with focused experiments in the laboratory. We apply machine-learning techniques to define molecular epigenomic signatures in patient cohorts and dissect the mechanisms underpinning these signatures using genome-editing techniques in experimental models. While we principally work on DNA methyl
ation in breast cancer, we collaborate.
|Dr Duncan Sproul||Group Leader|
|Jon Higham||Postdoctoral Scientist|
|Roza hussein ali Masalmeh||PhD student|
|Hazel Davidson-Smith||Research Assistant|
Cristina Rubio Ramon
|Nicholas Younger||PhD student|
|Loannis Kafetzopoulos||PhD student|
- Dr Guido Sanguinetti, University of Edinburgh School of Informatics. The application of machine learning techniques to cancer epigenomics.
Partners and Funders
- Cancer Research UK Career Development Fellowship
Epigenetics, DNA methylation, Bioinformatics, Breast cancer
Epigenomics, Genome editing, Machine learning, bioinformatics