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

Author

Listed:
  • 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
    University of Massachusetts
    University of Massachusetts)

  • Jing Kong

    (Massachusetts Institute of Technology)

  • Jun Yao

    (University of Massachusetts
    University of Massachusetts
    University of Massachusetts)

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.

Suggested Citation

  • Hongyan Gao & Zhien Wang & Feiyu Yang & Xiaoyu Wang & Siqi Wang & Quan Zhang & Xiaomeng Liu & Yubing Sun & Jing Kong & Jun Yao, 2024. "Graphene-integrated mesh electronics with converged multifunctionality for tracking multimodal excitation-contraction dynamics in cardiac microtissues," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-46636-7
    DOI: 10.1038/s41467-024-46636-7
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    References listed on IDEAS

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    1. R. Garcia-Cortadella & G. Schwesig & C. Jeschke & X. Illa & Anna L. Gray & S. Savage & E. Stamatidou & I. Schiessl & E. Masvidal-Codina & K. Kostarelos & A. Guimerà-Brunet & A. Sirota & J. A. Garrido, 2021. "Graphene active sensor arrays for long-term and wireless mapping of wide frequency band epicortical brain activity," Nature Communications, Nature, vol. 12(1), pages 1-17, December.
    2. Zeinab Jahed & Yang Yang & Ching-Ting Tsai & Ethan P. Foster & Allister F. McGuire & Huaxiao Yang & Aofei Liu & Csaba Forro & Zen Yan & Xin Jiang & Ming-Tao Zhao & Wei Zhang & Xiao Li & Thomas Li & An, 2022. "Nanocrown electrodes for parallel and robust intracellular recording of cardiomyocytes," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    3. Donald M. Bers, 2002. "Cardiac excitation–contraction coupling," Nature, Nature, vol. 415(6868), pages 198-205, January.
    4. R. Garcia-Cortadella & G. Schwesig & C. Jeschke & X. Illa & Anna L. Gray & S. Savage & E. Stamatidou & I. Schiessl & E. Masvidal-Codina & K. Kostarelos & A. Guimerà-Brunet & A. Sirota & J. A. Garrido, 2021. "Author Correction: Graphene active sensor arrays for long-term and wireless mapping of wide frequency band epicortical brain activity," Nature Communications, Nature, vol. 12(1), pages 1-1, December.
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