Abstract

During the mammalian preimplantation phase, cells undergo two subsequent cell fate decisions. During the first decision, the trophectoderm and the inner cell mass are formed. Subsequently, the inner cell mass segregates into the epiblast and the primitive endoderm. Inner cell mass organoids represent an experimental model system, mimicking the second cell fate decision. It has been shown that cells of the same fate tend to cluster stronger than expected for random cell fate decisions. Three major processes are hypothesised to contribute to the cell fate arrangements: (1) chemical signalling; (2) cell sorting; and (3) cell proliferation. In order to quantify the influence of cell proliferation on the observed cell lineage type clustering, we developed an agent-based model accounting for mechanical cell–cell interaction, i.e. adhesion and repulsion, cell division, stochastic cell fate decision and cell fate heredity. The model supports the hypothesis that initial cell fate acquisition is a stochastically driven process, taking place in the early development of inner cell mass organoids. Further, we show that the observed neighbourhood structures can emerge solely due to cell fate heredity during cell division.

Details

Title
Cell fate clusters in ICM organoids arise from cell fate heredity and division: a modelling approach
Author
Liebisch, Tim 1 ; Drusko Armin 1 ; Biena, Mathew 2 ; Stelzer Ernst H K 2 ; Fischer, Sabine C 3 ; Matthäus Franziska 1 

 Goethe Universität Frankfurt am Main, Faculty of Biological Sciences and Frankfurt Institute for Advanced Studies (FIAS), Frankfurt, Germany (GRID:grid.7839.5) (ISNI:0000 0004 1936 9721) 
 Goethe Universität Frankfurt am Main, Faculty of Biological Sciences and Buchmann Institute for Molecular Life Sciences (BMLS), Frankfurt, Germany (GRID:grid.7839.5) (ISNI:0000 0004 1936 9721) 
 Julius-Maximilians-Universität Würzburg, Center for Computational and Theoretical Biology (CCTB), Würzburg, Germany (GRID:grid.8379.5) (ISNI:0000 0001 1958 8658) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2473502944
Copyright
© The Author(s) 2020. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.