Cargando…
Cell fate clusters in ICM organoids arise from cell fate heredity and division: a modelling approach
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 represen...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772343/ https://www.ncbi.nlm.nih.gov/pubmed/33376253 http://dx.doi.org/10.1038/s41598-020-80141-3 |
_version_ | 1783629848648876032 |
---|---|
author | Liebisch, Tim Drusko, Armin Mathew, Biena Stelzer, Ernst H. K. Fischer, Sabine C. Matthäus, Franziska |
author_facet | Liebisch, Tim Drusko, Armin Mathew, Biena Stelzer, Ernst H. K. Fischer, Sabine C. Matthäus, Franziska |
author_sort | Liebisch, Tim |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7772343 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-77723432020-12-30 Cell fate clusters in ICM organoids arise from cell fate heredity and division: a modelling approach Liebisch, Tim Drusko, Armin Mathew, Biena Stelzer, Ernst H. K. Fischer, Sabine C. Matthäus, Franziska Sci Rep Article 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. Nature Publishing Group UK 2020-12-29 /pmc/articles/PMC7772343/ /pubmed/33376253 http://dx.doi.org/10.1038/s41598-020-80141-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Liebisch, Tim Drusko, Armin Mathew, Biena Stelzer, Ernst H. K. Fischer, Sabine C. Matthäus, Franziska Cell fate clusters in ICM organoids arise from cell fate heredity and division: a modelling approach |
title | Cell fate clusters in ICM organoids arise from cell fate heredity and division: a modelling approach |
title_full | Cell fate clusters in ICM organoids arise from cell fate heredity and division: a modelling approach |
title_fullStr | Cell fate clusters in ICM organoids arise from cell fate heredity and division: a modelling approach |
title_full_unstemmed | Cell fate clusters in ICM organoids arise from cell fate heredity and division: a modelling approach |
title_short | Cell fate clusters in ICM organoids arise from cell fate heredity and division: a modelling approach |
title_sort | cell fate clusters in icm organoids arise from cell fate heredity and division: a modelling approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772343/ https://www.ncbi.nlm.nih.gov/pubmed/33376253 http://dx.doi.org/10.1038/s41598-020-80141-3 |
work_keys_str_mv | AT liebischtim cellfateclustersinicmorganoidsarisefromcellfateheredityanddivisionamodellingapproach AT druskoarmin cellfateclustersinicmorganoidsarisefromcellfateheredityanddivisionamodellingapproach AT mathewbiena cellfateclustersinicmorganoidsarisefromcellfateheredityanddivisionamodellingapproach AT stelzerernsthk cellfateclustersinicmorganoidsarisefromcellfateheredityanddivisionamodellingapproach AT fischersabinec cellfateclustersinicmorganoidsarisefromcellfateheredityanddivisionamodellingapproach AT matthausfranziska cellfateclustersinicmorganoidsarisefromcellfateheredityanddivisionamodellingapproach |