Graphene-integrated mesh electronics with converged multifunctionality for tracking multimodal excitation-contraction dynamics in cardiac microtissues
Abstract Cardiac microtissues provide a promising platform for disease modeling and developmental studies, which require the close monitoring of the multimodal excitation-contraction dynamics. However, no existing assessing tool can track these multimodal dynamics across the live tissue. We develop...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-03-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-024-46636-7 |
| _version_ | 1797259185137647616 |
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| author | Hongyan Gao Zhien Wang Feiyu Yang Xiaoyu Wang Siqi Wang Quan Zhang Xiaomeng Liu Yubing Sun Jing Kong Jun Yao |
| author_facet | Hongyan Gao Zhien Wang Feiyu Yang Xiaoyu Wang Siqi Wang Quan Zhang Xiaomeng Liu Yubing Sun Jing Kong Jun Yao |
| author_sort | Hongyan Gao |
| collection | DOAJ |
| description | Abstract Cardiac microtissues provide a promising platform for disease modeling and developmental studies, which require the close monitoring of the multimodal excitation-contraction dynamics. However, no existing assessing tool can track these multimodal dynamics across the live tissue. We develop a tissue-like mesh bioelectronic system to track these multimodal dynamics. The mesh system has tissue-level softness and cell-level dimensions to enable stable embedment in the tissue. It is integrated with an array of graphene sensors, which uniquely converges both bioelectrical and biomechanical sensing functionalities in one device. The system achieves stable tracking of the excitation-contraction dynamics across the tissue and throughout the developmental process, offering comprehensive assessments for tissue maturation, drug effects, and disease modeling. It holds the promise to provide more accurate quantification of the functional, developmental, and pathophysiological states in cardiac tissues, creating an instrumental tool for improving tissue engineering and studies. |
| first_indexed | 2024-04-24T23:05:24Z |
| format | Article |
| id | doaj.art-e456b4ae618949908e97e4eb26ee4b96 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-04-24T23:05:24Z |
| publishDate | 2024-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-e456b4ae618949908e97e4eb26ee4b962024-03-17T12:30:54ZengNature PortfolioNature Communications2041-17232024-03-0115111210.1038/s41467-024-46636-7Graphene-integrated mesh electronics with converged multifunctionality for tracking multimodal excitation-contraction dynamics in cardiac microtissuesHongyan Gao0Zhien Wang1Feiyu Yang2Xiaoyu Wang3Siqi Wang4Quan Zhang5Xiaomeng Liu6Yubing Sun7Jing Kong8Jun Yao9Department of Electrical and Computer Engineering, University of MassachusettsDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of TechnologyDepartment of Mechanical and Industrial Engineering, University of MassachusettsDepartment of Electrical and Computer Engineering, University of MassachusettsDepartment of Electrical and Computer Engineering, University of MassachusettsDepartment of Electrical and Computer Engineering, University of MassachusettsDepartment of Electrical and Computer Engineering, University of MassachusettsDepartment of Mechanical and Industrial Engineering, University of MassachusettsDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of TechnologyDepartment of Electrical and Computer Engineering, University of MassachusettsAbstract Cardiac microtissues provide a promising platform for disease modeling and developmental studies, which require the close monitoring of the multimodal excitation-contraction dynamics. However, no existing assessing tool can track these multimodal dynamics across the live tissue. We develop a tissue-like mesh bioelectronic system to track these multimodal dynamics. The mesh system has tissue-level softness and cell-level dimensions to enable stable embedment in the tissue. It is integrated with an array of graphene sensors, which uniquely converges both bioelectrical and biomechanical sensing functionalities in one device. The system achieves stable tracking of the excitation-contraction dynamics across the tissue and throughout the developmental process, offering comprehensive assessments for tissue maturation, drug effects, and disease modeling. It holds the promise to provide more accurate quantification of the functional, developmental, and pathophysiological states in cardiac tissues, creating an instrumental tool for improving tissue engineering and studies.https://doi.org/10.1038/s41467-024-46636-7 |
| spellingShingle | Hongyan Gao Zhien Wang Feiyu Yang Xiaoyu Wang Siqi Wang Quan Zhang Xiaomeng Liu Yubing Sun Jing Kong Jun Yao Graphene-integrated mesh electronics with converged multifunctionality for tracking multimodal excitation-contraction dynamics in cardiac microtissues Nature Communications |
| title | Graphene-integrated mesh electronics with converged multifunctionality for tracking multimodal excitation-contraction dynamics in cardiac microtissues |
| title_full | Graphene-integrated mesh electronics with converged multifunctionality for tracking multimodal excitation-contraction dynamics in cardiac microtissues |
| title_fullStr | Graphene-integrated mesh electronics with converged multifunctionality for tracking multimodal excitation-contraction dynamics in cardiac microtissues |
| title_full_unstemmed | Graphene-integrated mesh electronics with converged multifunctionality for tracking multimodal excitation-contraction dynamics in cardiac microtissues |
| title_short | Graphene-integrated mesh electronics with converged multifunctionality for tracking multimodal excitation-contraction dynamics in cardiac microtissues |
| title_sort | graphene integrated mesh electronics with converged multifunctionality for tracking multimodal excitation contraction dynamics in cardiac microtissues |
| url | https://doi.org/10.1038/s41467-024-46636-7 |
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