Details of Award

NERC Reference : NE/T014199/1

Investigating the evolution of cancer cells through single cell genomic data.

Principal Investigator:: Professor RE Baker, University of Oxford, Mathematical Institute
Grant held at:: University of Oxford, Mathematical Institute

ENRIs:: None
Science Topics:: Adaptation; Evolution & populations; Evolutionary genetics; Genetic variation; Evolution & populations; Population genetics; Statistical genetics; Adaptive processes; Cooperation; Population Genetics/Evolution; Disease resistance; Mutation; Population dynamics; Bayesian Methods; Computational Statistics; Data Exploration; Statistics of Genetics; Statistics & Appl. Probability; Stochastic Methods; Time Series; Genomics; Genomics; Mutation detection; Transcriptomics; Transcript profiling; Transcriptomics

Abstract:: BBSRC : Thomas Pak : BB/M011224/1 Cancer evolution is inherent to tumour progression. Cell-intrinsic processes such as mutation accumulation, epigenetic modification or translation regulation induce diversity within tumour-comprising cell populations, providing a substrate for evolutionary selection in microenvironmental and therapeutic contexts. Yet, little is known about how to anticipate evolutionary dynamics of a malignant cell population. As such, evolution in cancers is often observed after selection has occurred, for example in the relapsed or metastatic settings-often too late for effective intervention. In this research project, we consider modelling cancer progression processes so as to anticipate, with statistical rigour, the likely growth trajectory of a cancer cell population in the context of unperturbed and perturbed states. Core open questions derived from this concept remain, including the most fundamental: "How can fitness be calculated and used as a predictive property in the growth trajectory of cancer cells?".

Authorised funds only

This grant award has a total value of £10,156

Exception - Other Costs
£10,156

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