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Integrating mechanical sensor readouts into organ-on-a-chip platforms
Organs-on-a-chip have emerged as next-generation tissue engineered models to accurately capture realistic human tissue behaviour, thereby addressing many of the challenges associated with using animal models in research. Mechanical features of the culture environment have emerged as being critically...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9800895/ https://www.ncbi.nlm.nih.gov/pubmed/36588933 http://dx.doi.org/10.3389/fbioe.2022.1060895 |
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author | Morales, Ingrid Anaya Boghdady, Christina-Marie Campbell, Benjamin E. Moraes, Christopher |
author_facet | Morales, Ingrid Anaya Boghdady, Christina-Marie Campbell, Benjamin E. Moraes, Christopher |
author_sort | Morales, Ingrid Anaya |
collection | PubMed |
description | Organs-on-a-chip have emerged as next-generation tissue engineered models to accurately capture realistic human tissue behaviour, thereby addressing many of the challenges associated with using animal models in research. Mechanical features of the culture environment have emerged as being critically important in designing organs-on-a-chip, as they play important roles in both stimulating realistic tissue formation and function, as well as capturing integrative elements of homeostasis, tissue function, and tissue degeneration in response to external insult and injury. Despite the demonstrated impact of incorporating mechanical cues in these models, strategies to measure these mechanical tissue features in microfluidically-compatible formats directly on-chip are relatively limited. In this review, we first describe general microfluidically-compatible Organs-on-a-chip sensing strategies, and categorize these advances based on the specific advantages of incorporating them on-chip. We then consider foundational and recent advances in mechanical analysis techniques spanning cellular to tissue length scales; and discuss their integration into Organs-on-a-chips for more effective drug screening, disease modeling, and characterization of biological dynamics. |
format | Online Article Text |
id | pubmed-9800895 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98008952022-12-31 Integrating mechanical sensor readouts into organ-on-a-chip platforms Morales, Ingrid Anaya Boghdady, Christina-Marie Campbell, Benjamin E. Moraes, Christopher Front Bioeng Biotechnol Bioengineering and Biotechnology Organs-on-a-chip have emerged as next-generation tissue engineered models to accurately capture realistic human tissue behaviour, thereby addressing many of the challenges associated with using animal models in research. Mechanical features of the culture environment have emerged as being critically important in designing organs-on-a-chip, as they play important roles in both stimulating realistic tissue formation and function, as well as capturing integrative elements of homeostasis, tissue function, and tissue degeneration in response to external insult and injury. Despite the demonstrated impact of incorporating mechanical cues in these models, strategies to measure these mechanical tissue features in microfluidically-compatible formats directly on-chip are relatively limited. In this review, we first describe general microfluidically-compatible Organs-on-a-chip sensing strategies, and categorize these advances based on the specific advantages of incorporating them on-chip. We then consider foundational and recent advances in mechanical analysis techniques spanning cellular to tissue length scales; and discuss their integration into Organs-on-a-chips for more effective drug screening, disease modeling, and characterization of biological dynamics. Frontiers Media S.A. 2022-12-16 /pmc/articles/PMC9800895/ /pubmed/36588933 http://dx.doi.org/10.3389/fbioe.2022.1060895 Text en Copyright © 2022 Morales, Boghdady, Campbell and Moraes. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioengineering and Biotechnology Morales, Ingrid Anaya Boghdady, Christina-Marie Campbell, Benjamin E. Moraes, Christopher Integrating mechanical sensor readouts into organ-on-a-chip platforms |
title | Integrating mechanical sensor readouts into organ-on-a-chip platforms |
title_full | Integrating mechanical sensor readouts into organ-on-a-chip platforms |
title_fullStr | Integrating mechanical sensor readouts into organ-on-a-chip platforms |
title_full_unstemmed | Integrating mechanical sensor readouts into organ-on-a-chip platforms |
title_short | Integrating mechanical sensor readouts into organ-on-a-chip platforms |
title_sort | integrating mechanical sensor readouts into organ-on-a-chip platforms |
topic | Bioengineering and Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9800895/ https://www.ncbi.nlm.nih.gov/pubmed/36588933 http://dx.doi.org/10.3389/fbioe.2022.1060895 |
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