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Organoid Cultures In Silico: Tools or Toys?

The implementation of stem-cell-based organoid culture more than ten years ago started a development that created new avenues for diagnostic analyses and regenerative medicine. In parallel, computational modelling groups realized the potential of this culture system to support their theoretical appr...

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Autores principales: Thalheim, Torsten, Aust, Gabriela, Galle, Joerg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9854934/
https://www.ncbi.nlm.nih.gov/pubmed/36671623
http://dx.doi.org/10.3390/bioengineering10010050
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author Thalheim, Torsten
Aust, Gabriela
Galle, Joerg
author_facet Thalheim, Torsten
Aust, Gabriela
Galle, Joerg
author_sort Thalheim, Torsten
collection PubMed
description The implementation of stem-cell-based organoid culture more than ten years ago started a development that created new avenues for diagnostic analyses and regenerative medicine. In parallel, computational modelling groups realized the potential of this culture system to support their theoretical approaches to study tissues in silico. These groups developed computational organoid models (COMs) that enabled testing consistency between cell biological data and developing theories of tissue self-organization. The models supported a mechanistic understanding of organoid growth and maturation and helped linking cell mechanics and tissue shape in general. What comes next? Can we use COMs as tools to complement the equipment of our biological and medical research? While these models already support experimental design, can they also quantitatively predict tissue behavior? Here, we review the current state of the art of COMs and discuss perspectives for their application.
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spelling pubmed-98549342023-01-21 Organoid Cultures In Silico: Tools or Toys? Thalheim, Torsten Aust, Gabriela Galle, Joerg Bioengineering (Basel) Review The implementation of stem-cell-based organoid culture more than ten years ago started a development that created new avenues for diagnostic analyses and regenerative medicine. In parallel, computational modelling groups realized the potential of this culture system to support their theoretical approaches to study tissues in silico. These groups developed computational organoid models (COMs) that enabled testing consistency between cell biological data and developing theories of tissue self-organization. The models supported a mechanistic understanding of organoid growth and maturation and helped linking cell mechanics and tissue shape in general. What comes next? Can we use COMs as tools to complement the equipment of our biological and medical research? While these models already support experimental design, can they also quantitatively predict tissue behavior? Here, we review the current state of the art of COMs and discuss perspectives for their application. MDPI 2022-12-30 /pmc/articles/PMC9854934/ /pubmed/36671623 http://dx.doi.org/10.3390/bioengineering10010050 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Thalheim, Torsten
Aust, Gabriela
Galle, Joerg
Organoid Cultures In Silico: Tools or Toys?
title Organoid Cultures In Silico: Tools or Toys?
title_full Organoid Cultures In Silico: Tools or Toys?
title_fullStr Organoid Cultures In Silico: Tools or Toys?
title_full_unstemmed Organoid Cultures In Silico: Tools or Toys?
title_short Organoid Cultures In Silico: Tools or Toys?
title_sort organoid cultures in silico: tools or toys?
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9854934/
https://www.ncbi.nlm.nih.gov/pubmed/36671623
http://dx.doi.org/10.3390/bioengineering10010050
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