Modeling Stem Cell Fates using Non-Markov Processes

Patrick S Stumpf; Fumio Arai; Ben D MacArthur

doi:10.1016/j.stem.2021.01.009

Modeling Stem Cell Fates using Non-Markov Processes

Cell Stem Cell. 2021 Feb 4;28(2):187-190. doi: 10.1016/j.stem.2021.01.009.

Authors

Patrick S Stumpf¹, Fumio Arai², Ben D MacArthur³

Affiliations

¹ Joint Research Center for Computational Biomedicine, RWTH Aachen University, Aachen 52074, Germany.
² Department of Stem Cell Biology and Medicine, Graduate School of Medical Sciences, Kyushu University, 812-8582 Fukuoka, Japan.
³ Centre for Human Development, Stem Cells and Regeneration, University of Southampton, Southampton SO17 1BJ, UK; Mathematical Sciences, University of Southampton, Southampton SO17 1BJ, UK; Institute for Life Sciences, University of Southampton, Southampton SO17 1BJ, UK; The Alan Turing Institute, London NW1 2DB, UK. Electronic address: bdm@soton.ac.uk.

PMID: 33545078
DOI: 10.1016/j.stem.2021.01.009

Abstract

Epigenetic memories play an important part in regulating stem cell identities. Tools from the theory of non-Markov processes may help us understand these memories better and develop a more integrated view of stem cell fate and function.

MeSH terms

Cell Differentiation
Epigenesis, Genetic*
Stem Cells*

Grants and funding

MC_PC_15078/MRC_/Medical Research Council/United Kingdom