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Lineages of embryonic stem cells show non-Markovian state transitions

Tee Udomlumleart, Sofia Hu, Salil Garg
doi: https://doi.org/10.1101/2020.11.23.372268
Tee Udomlumleart
1Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge MA 02142
2Department of Biology, Massachusetts Institute of Technology, Cambridge MA 02142
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Sofia Hu
1Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge MA 02142
2Department of Biology, Massachusetts Institute of Technology, Cambridge MA 02142
3Harvard-MIT MD PhD Program, Harvard Medical School, Boston MA 02115
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Salil Garg
1Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge MA 02142
4Department of Pathology, Massachusetts General Hospital, Boston MA 02114
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  • For correspondence: salilg@mit.edu
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Abstract

Pluripotent embryonic stem cells (ESCs) contain the ability to constitute the cell types of the adult vertebrate through a series of developmental state transitions. In culture, ESCs reversibly transition between states in a manner previously described as stochastic. However, whether ESCs retain memory of their previous states or transition in a memoryless (Markovian) process remains relatively unknown. Here we show lineages of ESCs do not exhibit the Markovian property: their previous states and kin relations influence future choices. In a subset of lineages, related ESCs remain likely to occupy the same state weeks after labeling. Unexpectedly, the distribution of lineages across states away from the equilibrium point predicted by a Markov model remains consistent over time, suggesting a conservation of informational entropy in this system. Additionally, some lineages appear highly dynamic in their ability to switch states but do not dominate the culture, suggesting that state switching is a separable property from growth. Together, these data suggest ESC state transitions are a proscribed process governed by additional variables.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://github.com/teeu97/lineage-entropy.git

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted November 23, 2020.
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Lineages of embryonic stem cells show non-Markovian state transitions
Tee Udomlumleart, Sofia Hu, Salil Garg
bioRxiv 2020.11.23.372268; doi: https://doi.org/10.1101/2020.11.23.372268
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Lineages of embryonic stem cells show non-Markovian state transitions
Tee Udomlumleart, Sofia Hu, Salil Garg
bioRxiv 2020.11.23.372268; doi: https://doi.org/10.1101/2020.11.23.372268

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