Three-dimensionally printed biological machines powered by skeletal muscle

Combining biological components, such as cells and tissues, with soft robotics can enable the fabrication of biological machines with the ability to sense, process signals, and produce force. An intuitive demonstration of a biological machine is one that can produce motion in response to controllabl...

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Published in:Proceedings of the National Academy of Sciences - PNAS Vol. 111; no. 28; pp. 10125 - 10130
Main Authors: Cvetkovic, Caroline, Raman, Ritu, Chan, Vincent, Williams, Brian J., Tolish, Madeline, Bajaj, Piyush, Sakar, Mahmut Selman, Asada, H. Harry, Saif, M. Taher A., Bashir, Rashid
Format: Journal Article
Language:English
Published: United States National Academy of Sciences 15-07-2014
National Acad Sciences
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Summary:Combining biological components, such as cells and tissues, with soft robotics can enable the fabrication of biological machines with the ability to sense, process signals, and produce force. An intuitive demonstration of a biological machine is one that can produce motion in response to controllable external signaling. Whereas cardiac cell-driven biological actuators have been demonstrated, the requirements of these machines to respond to stimuli and exhibit controlled movement merit the use of skeletal muscle, the primary generator of actuation in animals, as a contractile power source. Here, we report the development of 3D printed hydrogel “bio-bots” with an asymmetric physical design and powered by the actuation of an engineered mammalian skeletal muscle strip to result in net locomotion of the bio-bot. Geometric design and material properties of the hydrogel bio-bots were optimized using stereolithographic 3D printing, and the effect of collagen I and fibrin extracellular matrix proteins and insulin-like growth factor 1 on the force production of engineered skeletal muscle was characterized. Electrical stimulation triggered contraction of cells in the muscle strip and net locomotion of the bio-bot with a maximum velocity of ∼156 μm s ⁻¹, which is over 1.5 body lengths per min. Modeling and simulation were used to understand both the effect of different design parameters on the bio-bot and the mechanism of motion. This demonstration advances the goal of realizing forward-engineered integrated cellular machines and systems, which can have a myriad array of applications in drug screening, programmable tissue engineering, drug delivery, and biomimetic machine design.
Bibliography:http://dx.doi.org/10.1073/pnas.1401577111
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Edited by Stephen R. Quake, Stanford University, Stanford, CA, and approved May 30, 2014 (received for review January 26, 2014)
1C.C. and R.R. contributed equally to this work.
Author contributions: C.C., R.R., V.C., and R.B. designed research; C.C., R.R., V.C., and M.T. performed research; C.C., R.R., B.J.W., P.B., M.S.S., and M.T.A.S. contributed new reagents/analytic tools; C.C., R.R., and R.B. analyzed data; V.C., M.S.S., and H.H.A. developed early prototypes for force measurements and offered technical advice; and C.C., R.R., V.C., B.J.W., H.H.A., M.T.A.S., and R.B. wrote the paper.
3Present address: Institute of Robotics and Intelligent Systems, Eidgenössische Technische Hochschule Zürich, CH-8092 Zürich, Switzerland.
2Present address: Los Alamos National Laboratory, Los Alamos, NM 87545.
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.1401577111