Available
Project number:
2025_99
Start date:
October 2025
Project themes:
Main supervisor:
Professor in Epigenomics
Co-supervisor:
Kerrin Small
Additional Information:
Integrative analyses of colon tissue epigenomic and multi-omic profiles with health record data towards a better understanding of the role of host-microbiome interactions on human health
Background
The human colon is home to trillions of microorganisms, or the gut microbiota, which affect the health of the host through complex interactions with the host's intestinal tissue. Much research is focused on identifying host-microbiome interactions in both health and disease. Epigenetic regulation of gene function has emerged as a strong candidate mechanism of host response to microbial stimuli.
Epigenetic marks regulate gene function, are stable across cell division, but can also change in response to environmental or intrinsic factors. The microbiota can influence host biology through multiple epigenetic mechanisms (Woo and Alenghat 2022). Previous work, including results from the supervisor’s lab, has characterised some of these effects in specific disease contexts (Ryan et al. 2020). However, there are limited data in healthy individuals.
Novelty & Importance
The proposal tackles this gap by exploring novel host epigenomic data in healthy colon tissue, and integrate these with multi-omics and health records to characterise host-microbiome interactions. To date large-scale healthy colon tissue epigenomic datasets with matched gut microbiota profiles are lacking. A clearer understanding of the molecular mechanisms underlying host-microbiome interactions in healthy subjects is crucial to distinguish any disease-specific alterations.
Aims & Objectives
The proposal will generate novel epigenetic data in a unique colon multi-omic cohort of 200 twins, set up by our team (Mora-Ortiz et al. 2024). We will apply machine learning to integrate epigenetic and multi-omic (gut microbiota, expression and metabolomic) data to characterise host-microbial interactions. The multi-modal biological data will be further integrated with electronic health records and deep clinical phenotyping to identify key predictors of gut health.
We are now accepting applications for 1 October 2025
How to apply
Candidates should possess or be expected to achieve a 1st or upper 2nd class degree in a relevant subject including the biosciences, computer science, mathematics, statistics, data science, chemistry, physics, and be enthusiastic about combining their expertise with other disciplines in the field of healthcare.
Important information for International Students:
It is the responsibility of the student to apply for their Student Visa. Please note that the EPSRC DRIVE-Health studentship does not cover the visa application fees or the Immigration Health Surcharge (IHS) required for access to the National Health Service. The IHS is mandatory for anyone entering the UK on a Student Visa and is currently £776 per year for each year of study. Further detail can be found under the International Students tab below.
Next Steps
- Applications submitted by the closing date of Thursday 6 February 2025 will be considered by the CDT. We will contact shortlisted applicants with information about this part of the recruitment process.
- Candidates will be invited to attend an interview. Interviews are projected to take place in April 2025.
- Project selection will be through a panel interview chaired by either Professor Richard Dobson and Professor Vasa Curcin (CDT Directors) followed by informal discussion with prospective supervisors.
- If you have any questions related to the specific project you are applying for, please contact the main supervisor of the project directly.
For any other questions about the recruitment process, please email us at