Mechanically programming anisotropy in engineered muscle with actuating extracellular matrices
Name
s41467-022-28696-9.pdf
Size
2.25 MB
Format
Adobe PDF
Checksum (MD5)
3073d6ec07da478173dde75c9d0b5657
Author(s) • • • • • • •
Rios, Brandon
Bu, Angel
Sheehan, Tara
Kobeissi, Hiba
Kohli, Sonika
Shah, Karina
Lejeune, Emma
Raman, Ritu
Date Issued
October 2023
Journal
Device
Publisher
Elsevier BV
Citation
Rios, Brandon, Bu, Angel, Sheehan, Tara, Kobeissi, Hiba, Kohli, Sonika et al. 2023. "Mechanically programming anisotropy in engineered muscle with actuating extracellular matrices." Device, 1 (4).
Version
Final published version
Abstract
The hierarchical design and adaptive functionalities of biological tissues are driven by dynamic biochemical,
electrical, and mechanical signaling between cells and their extracellular matrices. While existing tools
enable monitoring and controlling biochemical and electrical signaling in multicellular systems, there is a significant need for techniques that enable mapping and modulating intercellular mechanical signaling. We have
developed a magnetically actuated extracellular matrix that serves as a mechanically active substrate for
cells and can program morphological and functional anisotropy in tissues such as skeletal muscle. This
method improves the ease and efficiency of programming muscle force directionality and synchronicity
for applications ranging from medicine to robotics. Additionally, we present an open-source computational
framework enabling quantitative analyses of muscle contractility. Our actuating matrices and accompanying
tools are broadly applicable across cell types and hydrogel chemistries, and they can drive fundamental
studies in mechanobiology as well as translational applications of engineered tissues in medicine and machines.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.device.2023.100097