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Organoid Cultures In Silico: Tools or Toys?

Torsten Thalheim1, Gabriela Aust2, Joerg Galle1

  • 1Interdisciplinary Institute for Bioinformatics (IZBI), Leipzig University, Härtelstr. 16-18, 04107 Leipzig, Germany.

Bioengineering (Basel, Switzerland)
|January 21, 2023
PubMed
Summary
This summary is machine-generated.

Computational organoid models (COMs) advance stem cell research by integrating in silico tissue studies with experimental data. These models enhance understanding of organoid self-organization and tissue development.

Keywords:
computational multiscale modelsdisease modellingdrug responseorganoidsstem cell organization

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Area of Science:

  • Biotechnology
  • Computational Biology
  • Regenerative Medicine

Background:

  • Stem-cell-based organoid culture has opened new avenues for diagnostics and regenerative medicine.
  • Computational modeling groups leverage organoid systems for in silico tissue studies.

Purpose of the Study:

  • To review the current state of computational organoid models (COMs).
  • To discuss the future applications of COMs in biological and medical research.
  • To explore the potential of COMs in quantitatively predicting tissue behavior.

Main Methods:

  • Development of computational organoid models (COMs).
  • Testing consistency between cell biological data and theories of tissue self-organization.
  • Mechanistic understanding of organoid growth, maturation, cell mechanics, and tissue shape.

Main Results:

  • COMs enable testing of theoretical approaches for in silico tissue studies.
  • Models support mechanistic understanding of organoid growth and maturation.
  • COMs help link cell mechanics and tissue shape.

Conclusions:

  • COMs are valuable tools complementing biological and medical research equipment.
  • COMs can support experimental design and quantitatively predict tissue behavior.
  • The review discusses current advancements and future perspectives for COMs.