In silico modelling of organ-on-a-chip devices: an overview
An organ-on-a-chip (OOAC) is a microscale device designed to mimic the functions and complexity of in vivo human physiology. Different from traditional culture systems, OOACs are capable of replicating the biochemical microenvironment, tissue-tissue interactions, and mechanical dynamics of organs th...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Bioengineering and Biotechnology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fbioe.2024.1520795/full |
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| author | Yue Wang Lucia Marucci Lucia Marucci Lucia Marucci Martin E. Homer |
| author_facet | Yue Wang Lucia Marucci Lucia Marucci Lucia Marucci Martin E. Homer |
| author_sort | Yue Wang |
| collection | DOAJ |
| description | An organ-on-a-chip (OOAC) is a microscale device designed to mimic the functions and complexity of in vivo human physiology. Different from traditional culture systems, OOACs are capable of replicating the biochemical microenvironment, tissue-tissue interactions, and mechanical dynamics of organs thanks to the precise control offered by microfluidic technology. Diverse OOAC devices specific to different organs have been proposed for experimental research and applications such as disease modelling, personalized medicine and drug screening. Previous studies have demonstrated that the mathematical modelling of OOAC can facilitate the optimization of chips’ microenvironments, serving as an essential tool to design and improve microdevices which allow reproducible growth of cell culture, reducing the time and cost of experimental testing. Here, we review recent modelling approaches for various OOAC devices, categorized according to the type of organs. We discuss the opportunities for integrating multiphysics with multicellular computational models to better characterize and predict cell culture dynamics. Additionally, we explore how developing more detailed OOAC models would support a more rapid and effective development of microdevices, and the design of robust protocols to grow and control cell cultures. |
| format | Article |
| id | doaj-art-ebb73790b899408ea0ef8a12e181b828 |
| institution | Kabale University |
| issn | 2296-4185 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Bioengineering and Biotechnology |
| spelling | doaj-art-ebb73790b899408ea0ef8a12e181b8282025-01-27T06:40:48ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852025-01-011210.3389/fbioe.2024.15207951520795In silico modelling of organ-on-a-chip devices: an overviewYue Wang0Lucia Marucci1Lucia Marucci2Lucia Marucci3Martin E. Homer4School of Engineering Mathematics and Technology, University of Bristol, Bristol, United KingdomSchool of Engineering Mathematics and Technology, University of Bristol, Bristol, United KingdomSchool of Cellular and Molecular Medicine, University of Bristol, Bristol, United KingdomBristol BioDesign Institute, University of Bristol, Bristol, United KingdomSchool of Engineering Mathematics and Technology, University of Bristol, Bristol, United KingdomAn organ-on-a-chip (OOAC) is a microscale device designed to mimic the functions and complexity of in vivo human physiology. Different from traditional culture systems, OOACs are capable of replicating the biochemical microenvironment, tissue-tissue interactions, and mechanical dynamics of organs thanks to the precise control offered by microfluidic technology. Diverse OOAC devices specific to different organs have been proposed for experimental research and applications such as disease modelling, personalized medicine and drug screening. Previous studies have demonstrated that the mathematical modelling of OOAC can facilitate the optimization of chips’ microenvironments, serving as an essential tool to design and improve microdevices which allow reproducible growth of cell culture, reducing the time and cost of experimental testing. Here, we review recent modelling approaches for various OOAC devices, categorized according to the type of organs. We discuss the opportunities for integrating multiphysics with multicellular computational models to better characterize and predict cell culture dynamics. Additionally, we explore how developing more detailed OOAC models would support a more rapid and effective development of microdevices, and the design of robust protocols to grow and control cell cultures.https://www.frontiersin.org/articles/10.3389/fbioe.2024.1520795/fullorgan-on-a-chiporganoidscomputational modellingmathematical modellingmicrofluidic dynamics |
| spellingShingle | Yue Wang Lucia Marucci Lucia Marucci Lucia Marucci Martin E. Homer In silico modelling of organ-on-a-chip devices: an overview Frontiers in Bioengineering and Biotechnology organ-on-a-chip organoids computational modelling mathematical modelling microfluidic dynamics |
| title | In silico modelling of organ-on-a-chip devices: an overview |
| title_full | In silico modelling of organ-on-a-chip devices: an overview |
| title_fullStr | In silico modelling of organ-on-a-chip devices: an overview |
| title_full_unstemmed | In silico modelling of organ-on-a-chip devices: an overview |
| title_short | In silico modelling of organ-on-a-chip devices: an overview |
| title_sort | in silico modelling of organ on a chip devices an overview |
| topic | organ-on-a-chip organoids computational modelling mathematical modelling microfluidic dynamics |
| url | https://www.frontiersin.org/articles/10.3389/fbioe.2024.1520795/full |
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