Optogenetic skeletal muscle-powered adaptive biological machines
Name
Raman-2016-Optogenetic skeletal.pdf
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1.57 MB
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Author(s)
Raman, Ritu
Cvetkovic, Caroline
Sengupta, Parijat
Bashir, Rashid
Uzel, Sebastien GM
Platt, Randall Jeffrey
Kamm, Roger Dale
Date Issued
March 2016
Journal
Proceedings of the National Academy of Sciences
Publisher
National Academy of Sciences (U.S.)
Citation
Raman, Ritu, Caroline Cvetkovic, Sebastien G. M. Uzel, Randall J. Platt, Parijat Sengupta, Roger D. Kamm, and Rashid Bashir. “Optogenetic Skeletal Muscle-Powered Adaptive Biological Machines.” Proc Natl Acad Sci USA 113, no. 13 (March 14, 2016): pp. 3497-3502. © 2016 National Academy of Sciences.
Version
Final published version
Abstract
Complex biological systems sense, process, and respond to their surroundings in real time. The ability of such systems to adapt their behavioral response to suit a range of dynamic environmental signals motivates the use of biological materials for other engineering applications. As a step toward forward engineering biological machines (bio-bots) capable of nonnatural functional behaviors, we created a modular light-controlled skeletal muscle-powered bioactuator that can generate up to 300 µN (0.56 kPa) of active tension force in response to a noninvasive optical stimulus. When coupled to a 3D printed flexible bio-bot skeleton, these actuators drive directional locomotion (310 µm/s or 1.3 body lengths/min) and 2D rotational steering (2°/s) in a precisely targeted and controllable manner. The muscle actuators dynamically adapt to their surroundings by adjusting performance in response to “exercise” training stimuli. This demonstration sets the stage for developing multicellular bio-integrated machines and systems for a range of applications
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Mechanical Engineering
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1073/pnas.1516139113
