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Mutagenesis and its biomedical consequences

Lead Research Organisation: University of Edinburgh
Department Name: UNLISTED

Abstract

We are working to understand what causes changes to the DNA sequence in our cells. New DNA changes are called mutations. Some of these mutations drive the development of cancer, some cause inherited disease and they may contribute to the ageing of our bodies. But many, perhaps most, have no effect.

Mutations can come about through natural processes in our cells, or they can be caused by exposure to damaging environments such as ultraviolet radiation in sunlight, dangerous chemicals in tobacco smoke, and as a side-effect of some medical treatments. Our work reveals the mechanisms that lead to these mutations.

Learning about the causes of mutations tells us a great deal about the processes in our cells that copy and repair DNA. This can suggest new ways to treat cancers. The patterns of mutations we see in a cancer can reveal defects that may be allowing the cancer to grow, but might also be used to target treatments specifically to that cancer.

Working out the patterns of new mutations helps us find those rare ones that have an important effect. This can help understand disease or target therapies. We specialise in making the most of data that already exists, which extracts the maximum insight from past investments and minimises the use of animals. Where the data we need doesn’t exist, we work with other groups in the MRC Human Genetics Unit, and international collaborators to efficiently generate it.

Technical Summary

Genetic mutations provide the raw material for evolution, they are responsible for heritable disease, drive the development of cancer and are implicated in somatic ageing. This programme strives to understand the molecular mechanisms that give rise to new mutations and to be able to interpret their consequences.

We previously discovered the process of lesion segregation, in which mutagenic DNA lesions can persist for multiple cellular generations resulting in strand asymmetric mutation patterns and generating genetic diversity within a clonally expanding cell population. In this project we will capitalise on these insights to explore the mechanisms of mutagenesis and DNA repair – with strand-specificity, at genome-wide scale, and single base resolution.

Understanding the patterns of mutation occurrence also helps us establish the functional and selective consequences of mutations. We will generate reliable null expectations of mutation occurrence against which we will compare observed mutations, allowing the inference of selection. This strategy will be applied across scales from between species evolution, to human population variation, and down to the cellular scale studying the clonal expansions of cells both in vitro and in vivo (zebrafish and mouse models). Through innovative high-throughput analyses of existing and collaboratively generated data, we will identify mutations that perturb gene expression and demonstrate how clonally accumulated genetic heterogeneity influences cellular phenotype and clonal selection. This is directly relevant to the accrual of somatic mosaicism through development, and the initiation and progression of cancer.

Leading with computational analysis, our research extracts maximum insight from pre-existing datasets, and then benefits from collaboration and infrastructure within the MRC Human Genetics Unit to generate key missing data. The results of this research will (1.) reveal why mutations occur where they do, (2.) give mechanistic insights that could both guide cancer treatment and identify therapeutic targets, and will (3.) advance understanding of clonal selection, particularly in the context of combinatorial genetic diversity.

Publications

10 25 50
 
Description Cancer Grand Challenges
Geographic Reach Multiple continents/international 
Policy Influence Type Contribution to a national consultation/review
Impact Prioritising major research investments for cancer.
URL https://www.cancergrandchallenges.org/
 
Description Dissection and targeting of novel pathogenic mechanisms mediating PIK3CA-driven overgrowth
Amount £654,436 (GBP)
Funding ID MR/Z506321/1 
Organisation Medical Research Council (MRC) 
Sector Public
Country United Kingdom
Start 07/2024 
End 08/2027
 
Description Duncan Odom 
Organisation German Cancer Research Center
Country Germany 
Sector Academic/University 
PI Contribution Co lead of collaboration along with Duncan Odom, DKFZ. Experimental design. Genomic data analysis following burst mutagenesis.
Collaborator Contribution Experimental design. Primary data generation.
Impact Outputs are currently in review.
Start Year 2022
 
Description FANTOM6 Consortium 
Organisation RIKEN
Department Institute of Physical and Chemical Research (RIKEN)
Country Japan 
Sector Public 
PI Contribution Planning of large scale systematic study on lncRNA and their effect on gene regulation. Planning and initiating analysis of the resulting data.
Collaborator Contribution Planning, coordination and primary data generation.
Impact Project is ongoing - no impact yet.
Start Year 2015
 
Description Liver Cancer Evolution Consortium 
Organisation Cancer Research UK Cambridge Institute
Country United Kingdom 
Sector Academic/University 
PI Contribution Computational analysis of tumor whole genome and transcriptome sequence data to profile mutation patterns.
Collaborator Contribution Generation, histological profiling and whole genome and transcriptome sequencing of carcinogen induced tumors in rodents.
Impact No published outcomes yet, less that 1 year into project and data generation still under way. Scientific discovery & insight. Manuscript writing, project coordination.
Start Year 2017
 
Description Liver Cancer Evolution Consortium 
Organisation EMBL European Bioinformatics Institute (EMBL - EBI)
Country United Kingdom 
Sector Academic/University 
PI Contribution Computational analysis of tumor whole genome and transcriptome sequence data to profile mutation patterns.
Collaborator Contribution Generation, histological profiling and whole genome and transcriptome sequencing of carcinogen induced tumors in rodents.
Impact No published outcomes yet, less that 1 year into project and data generation still under way. Scientific discovery & insight. Manuscript writing, project coordination.
Start Year 2017
 
Description Liver Cancer Evolution Consortium 
Organisation German Cancer Research Center
Country Germany 
Sector Academic/University 
PI Contribution Computational analysis of tumor whole genome and transcriptome sequence data to profile mutation patterns.
Collaborator Contribution Generation, histological profiling and whole genome and transcriptome sequencing of carcinogen induced tumors in rodents.
Impact No published outcomes yet, less that 1 year into project and data generation still under way. Scientific discovery & insight. Manuscript writing, project coordination.
Start Year 2017
 
Description Liver Cancer Evolution Consortium 
Organisation Institute for Research in Biomedicine (IRB)
Country Spain 
Sector Academic/University 
PI Contribution Computational analysis of tumor whole genome and transcriptome sequence data to profile mutation patterns.
Collaborator Contribution Generation, histological profiling and whole genome and transcriptome sequencing of carcinogen induced tumors in rodents.
Impact No published outcomes yet, less that 1 year into project and data generation still under way. Scientific discovery & insight. Manuscript writing, project coordination.
Start Year 2017
 
Description Sarah Aitken 
Organisation Medical Research Council (MRC)
Department MRC Toxicology Unit
Country United Kingdom 
Sector Academic/University 
PI Contribution Joint supervision of ECAT PhD student John Connelly. Machine learning based analysis of cancer histology whole slide images.
Collaborator Contribution Joint supervision of ECAT PhD student John Connelly. Qualified pathologist evaluation of cancer histology whole slide images.
Impact Multidisciplinary: Computer machine learning, mathematical modelling, histopathology, oncology, genomics.
Start Year 2021
 
Description Sarah Aitken - Yale 
Organisation Yale University
Country United States 
Sector Academic/University 
PI Contribution Collaborative research on DNA damage and mutagenesis
Collaborator Contribution Data provision, expert opinion, collaborative writing.
Impact Publication: Anderson et al, 2024. Publication: Nicholson et al, 2024. Publication: Ginno et al, 2024. Preprint: Aitken et al, 2025.
Start Year 2024
 
Description CRUK Grand Challenges 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Policymakers/politicians
Results and Impact Cancer Grand Challenges strategy meeting. 20 International experts reporting to major funders on research opportunities and priorities for major investment programme.
Year(s) Of Engagement Activity 2024
URL https://www.cancergrandchallenges.org/
 
Description Conference organisation MITS 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Established an international conference "Mutations in Time and Space", held in Edinburgh in 2024, Boston US in 2025.
Year(s) Of Engagement Activity 2024,2025
URL https://www.mutationmeeting.com/