Stochastic Treatments of Mitochondrial Genetics

Lead Research Organisation: Imperial College London
Department Name: Dept of Mathematics

Abstract

Mitochondrial mutations are responsible for diseases in development and of later life. This project investigates how levels of mutation might fluctuate in tissues and how these fluctuations could feasibly controlled. We are taking mathematical models which have been described for single cells and carefully analysing some of their statistical properties to identify when mutations might reach high levels inside cells. We are also examining what might happen if different cells are coupled together. This work would be classified as applied probability/statistics or mathematical biology. This work will be joint with Cambridge Clinical Neuroscience.

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/N509486/1 01/10/2016 30/09/2021
2032993 Studentship EP/N509486/1 01/10/2017 31/03/2021 Ferdinando Insalata
 
Description We have found that ageing in skeletal muscle fibres can take place through a novel evolutionary mechanism.
Exploitation Route Our model and the resulting understanding of muscle ageing can pave the way for therapeutic interventions.
Sectors Healthcare

URL https://scholar.google.com/scholar?cluster=4234389864288178971&hl=en&oi=scholarr
 
Description Collaboration with the Mitochondrial Biology Unit, University of Cambridge 
Organisation University of Cambridge
Department Cambridge Neuroscience
Country United Kingdom 
Sector Academic/University 
PI Contribution Provided mathematical models to describe previously unexplained phenomena in mitochondrial biology. Provided predictions for model of mitochondrial DNA control by the nucleus.
Collaborator Contribution Provided more in-depth knowledge of mitochondrial biology, started experiments to validate our model
Impact No outcome yet
Start Year 2017