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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9854934 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT thalheimtorsten organoidculturesinsilicotoolsortoys AT austgabriela organoidculturesinsilicotoolsortoys AT gallejoerg organoidculturesinsilicotoolsortoys |