Stochastic Models for Evolving Cellular Populations of Mitochondria: Disease, Development, and Ageing

DOI10.1007/978-3-319-62627-7_13zbMath1401.92066OpenAlexW2761239962MaRDI QIDQ4555239

Iain G. Johnston, Hanne Hoitzing, Nick S. Jones

Publication date: 19 November 2018

Published in: Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-62627-7_13

zbMATH Keywords

mitochondriamtDNAheteroplasmymitochondrial dysfunctions

Mathematics Subject Classification ID

Cell biology (92C37) Genetics and epigenetics (92D10)

Uses Software

• abc

Cites Work

• Unnamed Item
• Efficient parametric inference for stochastic biological systems with measured variability
• Stochastic methods. A handbook for the natural and social sciences
• A model of the nuclear control of mitochondrial DNA replication
• Mitochondrial mutations and ageing: can mitochondrial deletion mutants accumulate via a size based replication advantage?
• Bayesian Emulation and Calibration of a Stochastic Computer Model of Mitochondrial DNA Deletions in Substantia Nigra Neurons
• Closed-form stochastic solutions for non-equilibrium dynamics and inheritance of cellular components over many cell divisions
• SOLUTION OF A PROCESS OF RANDOM GENETIC DRIFT WITH A CONTINUOUS MODEL

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