Abstract
The classic Luria–Delbrück model for fluctuation analysis is extended to the case where the split instant distributions of cells are not i.i.d.: the lifetime of each cell is assumed to depend on its birth date. This model takes also into account cell deaths and non-exponentially distributed lifetimes. In particular, it is possible to consider subprobability distributions and to model non-exponential growth. The extended model leads to a family of probability distributions which depend on the expected number of mutations, the death probability of mutant cells, and the split instant distributions of normal and mutant cells. This is deduced from the Bellman–Harris integral equation, written for the birth date inhomogeneous case. A new theorem of convergence for the final mutant counts is proved, using an analytic method. Particular examples like the Haldane model or the case where hazard functions of the split-instant distributions are proportional are studied. The Luria–Delbrück distribution with cell deaths is recovered. A computation algorithm for the probabilities is provided.
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Acknowledgements
This research was supported by Laboratoire d’Excellence TOUCAN (Toulouse Cancer). The author is grateful to Bernard Ycart for comments on earlier drafts of the paper and to the anonymous referees for helpful remarks.
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Mazoyer, A. Time Inhomogeneous Mutation Models with Birth Date Dependence. Bull Math Biol 79, 2929–2953 (2017). https://doi.org/10.1007/s11538-017-0357-3
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DOI: https://doi.org/10.1007/s11538-017-0357-3
Keywords
- Branching process
- Probability generating function
- Fluctuation analysis
- Luria–Delbrück distribution
- Cell kinetics
- Non-exponential growth