Martin Taylor Research Group
Mutagenesis and its Biomedical Impact
Section: Biomedical Genomics
Research in a Nutshell
We study why mutations occur where they do and what effect they have when they arise. Genetic mutations are important, they are responsible for inherited disease, drive the development of cancer, allow bacteria and viruses to escape our drugs and immune system, and provide the raw material for evolution. Most of our research spans our three core aims:
1. Understanding mutational processes. What processes go wrong in our cells to create mutations and how damage to our DNA contributes to this. We are especially interested in the mutations that get inherited from one generation to the next, and those that drive the progression to cancer.
2. Interpreting genetic variation. Revealing which mutations have an important biological effect and which are less important. This helps genetic diagnosis and matching the cancer treatment to the patient. We are increasingly realising that combinations of mutations are important for how cells grow and the development of cancer.
3. Learning how mutations alter the regulation of our genes. As a community we can work out fairly well when a mutation is likely to alter the function of a protein, we’ve still got a lot to learn about how mutations alter the production of a protein from a gene. Studying the changes through past evolution helps us understand the effect of new mutations of gene regulation.
|Professor Martin Taylor||Group Leader|
|Dr Craig Anderson||Research Fellow|
|Susan Campbell||Research Assistant|
|Elizabeth Carmichael||PhD student|
|Dr John Connelly||Clinical lecturer & PhD student|
|Dr Juliet Luft||PhD student|
|Dr Michael Nicholson||Cross-disciplinary research fellow (XDF)|
|Lucy Scott||PhD student|
|Dr Lana Talmane||Research Fellow|
|Jan Verburg||PhD student|
- Anderson CJ, Talmane L, Luft J, Nicholson MD, Connelly J, Pich O, Campbell S, Sundaram V, Connor F, Ginno PA, Liver Cancer Evolution Consortium, López-Bigas N, Flicek P, Semple CA, Odom DT, Aitken SJ, Taylor MS. Strand-resolved mutagenicity of DNA damage and repair. bioRxiv. 2022. p. 2022.06.10.495644. doi:10.1101/2022.06.10.495644
- Reijns MAM, Parry DA, Williams TC, Nadeu F, Hindshaw RL, Rios Szwed DO, Nicholson MD, Carroll P, Boyle S, Royo R, Cornish AJ, Xiang H, Ridout K, Schuh A, Aden K, Palles C, Campo E, Stankovic T, Taylor MS, Jackson AP. Signatures of TOP1 transcription-associated mutagenesis in cancer and germline. Nature. 2022; 1–9. doi:10.1038/s41586-022-04403-y
- Young RS, Talmane L, Marion de Proce S, Taylor MS. The contribution of evolutionarily volatile promoters to molecular phenotypes and human trait variation. Genome Biol. 2022.
- Aitken SJ, Anderson CJ, Connor F, Pich O, Sundaram V, Feig C, Rayner TF, Lukk M, Aitken S, Luft J, Kentepozidou E, Arnedo-Pac C, Beentjes SV, Davies SE, Drews RM, Ewing A, Kaiser VB, Khamseh A, López-Arribillaga E, Redmond AM, Santoyo-Lopez J, Sentís I, Talmane L, Yates AD, Liver Cancer Evolution Consortium, Semple CA, López-Bigas N, Flicek P, Odom DT, Taylor MS. Pervasive lesion segregation shapes cancer genome evolution. Nature. 2020;583: 265–270. doi:10.1038/s41586-020-2435-1
- Reijns MAM, Kemp H, Ding J, de Procé SM, Jackson AP, Taylor MS. Lagging-strand replication shapes the mutational landscape of the genome. Nature. 2015;518: 502–506. doi:10.1038/nature14183
Full publication list can be found on Research Explorer: Martin Taylor — University of Edinburgh Research Explorer
Dr Sjoerd Beentjes, University of Edinburgh
Dr Luke Boulter, University of Edinburgh
Professor Javier Caceres, University of Edinburgh
Professor David Fitzpatrick, University of Edinburgh
Dr Paul Flicek, EBI, Cambridge
Professor Andrew Jackson, University of Edinburgh
Dr Ava Khamseh, University of Edinburgh
Professor Núria López-Bigas
Dr Duncan Odom, DKFZ, Heidelberg
Professor Liz Patton, University of Edinburgh
Professor Colin Semple, University of Edinburgh
Partners and Funders
- FANTOM Consortium
- Scottish Genomes Partnership
Understanding mutational processes, Interpretation of genetic variation, The evolution of gene regulation
Computational genomics, high performance computing, detection of mutations, molecular phylogenetics, gene expression analysis, measurement of genetic selection, high throughput sequencing technologies and assays.