Graphene-integrated mesh electronics with converged multifunctionality for tracking multimodal excitation-contraction dynamics in cardiac microtissues

Hongyan Gao, Zhien Wang, Feiyu Yang, Xiaoyu Wang, Siqi Wang, Quan Zhang, Xiaomeng Liu, Yubing Sun, Jing Kong and Jun Yao ()
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Hongyan Gao: University of Massachusetts
Zhien Wang: Massachusetts Institute of Technology
Feiyu Yang: University of Massachusetts
Xiaoyu Wang: University of Massachusetts
Siqi Wang: University of Massachusetts
Quan Zhang: University of Massachusetts
Xiaomeng Liu: University of Massachusetts
Yubing Sun: University of Massachusetts
Jing Kong: Massachusetts Institute of Technology
Jun Yao: University of Massachusetts

Nature Communications, 2024, vol. 15, issue 1, 1-12

Abstract: 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.

Date: 2024
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DOI: 10.1038/s41467-024-46636-7

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