Available
Project number:
2025_16
Start date:
October 2025
Project themes:
Main supervisor:
Senior Lecturer in Bioinformatics
Co-supervisor:
Dr Sheeba Irshad, Reader in Immuno-Oncology, Comprehensive Cancer Centre
Additional Information:
In silico identification of potent noncoding neoantigens for cancer vaccine development
Background
Recent progress in neoantigen research, along with breakthroughs in RNA technology, have accelerated the large-scale discovery and effective delivery of tumour neoantigens as cancer vaccines. Transposable elements (TEs) are segments of DNA that are capable of self-replicating and integrating into various regions of the genome. In healthy tissues, most TE activity is suppressed by epigenetic mechanisms. However, in cancer cells, TE activity is greatly increased due to the dysregulation of epigenetic maintenance. In this state, TEs are capable of splicing into nearby genes resulting in the chimeric RNAs. Previous studies have identified antigens, translated from TE-associated transcripts, forming tumour-specific antigens (TSAs). However, these TE-derived antigens are difficult to identify using standard bioinformatic methods and they need specific bioinformatic tools to identify them.
Novelty & Importance
Mutated TSAs (mTSAs) derive from transcripts that have acquired mutations. However, only a few recurrent mTSAs have been identified so far as many are patient-specific. In converse, aberrantly expressed TSAs (aeTSAs) derive from a rich source of noncoding regions, including TEs. Compared to mTSAs, aeTSAs have two advantages they are more prevalent and are highly shared among tumours of a specific type, making them very good candidates for off-the-shelf vaccine development.
Aims & Objectives
Aim 1: Developing a bioinformatic method for prediction and prioritisation of non-coding neoantigens from genomics and transcriptomics data
Aim 2: Applying this method to our breast cancer data and generating potent non-coding neoantigens to be used in personalized breast cancer vaccines
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