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Dynamical modelling of somatic genomes (360G-Wellcome-209409_Z_17_Z)

<p>Cancers are complex and chaotic systems.&nbsp;It is becoming apparent that no two cells in a cancer are genetically identical or follow the same evolutionary trajectory.&nbsp;Chromosomal instability (CIN)&nbsp;is one way that cells generate this complexity and is&nbsp;a hallmark of all&nbsp;cancer and ageing. &nbsp;In cancer, it increases the level of variation available to cells and gives rise to intra-tumour&nbsp;genetic hetereogeneity, which makes the disease more agressive,&nbsp;drug tolerant, and harder to treat. We are still far from a complete understanding of how cells undergoing CIN evolve over time, in particular, we do not know how populations of cancer&nbsp;cells&nbsp;evolve and how selection acts to change these properties. Understanding&nbsp;this normal&nbsp;evolutionary behaviour will be key to separating&nbsp;the functional and non-functional aspects of&nbsp;intra-tumour heterogeneity. We will tackle this problem by understanding cancer as an emergent complex system, and use&nbsp;simple dynamic stochastic models to capture the essential biological&nbsp;features of the processes underlying CIN, including&nbsp;chromosome gain and loss, structural change, and genome doubling. We will&nbsp;use&nbsp;the vast amount of NGS data already available to fit these models using&nbsp;Bayesian inference and&nbsp;infer the evolutionary aspects of CIN in healthy and cancerous tissues.</p>


28 Nov 2017

Grant details
Amount Awarded 1273968
Applicant Surname Barnes
Approval Committee Science Interview Panel
Award Date 2017-11-28T00:00:00+00:00
Financial Year 2017/18
Grant Programme: Title Senior Research Fellowship Basic
Internal ID 209409/Z/17/Z
Lead Applicant Dr Chris Barnes
Planned Dates: End Date 2024-01-24T00:00:00+00:00
Planned Dates: Start Date 2018-05-01T00:00:00+00:00
Recipient Org: Country United Kingdom
Region Greater London
Sponsor(s) Prof Frances Brodsky
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