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dc.contributor.authorRaman, Ritu
dc.contributor.authorCvetkovic, Caroline
dc.contributor.authorSengupta, Parijat
dc.contributor.authorBashir, Rashid
dc.contributor.authorUzel, Sebastien GM
dc.contributor.authorPlatt, Randall Jeffrey
dc.contributor.authorKamm, Roger Dale
dc.date.accessioned2016-10-26T18:40:11Z
dc.date.available2016-10-26T18:40:11Z
dc.date.issued2016-03
dc.date.submitted2015-08
dc.identifier.issn0027-8424
dc.identifier.issn1091-6490
dc.identifier.urihttp://hdl.handle.net/1721.1/105099
dc.description.abstractComplex 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 applicationsen_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Science and Technology Center Emergent Behavior of Integrated Cellular Systems (EBICS) Grant CBET-0939511)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Graduate Research Fellowship, Grant DGE-1144245)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (NSF Cellular and Molecular Mechanics and Bionanotechnology (CMMB) Integrative Graduate Education and Research Traineeship (IGERT) at UIUC (Grant 0965918))en_US
dc.language.isoen_US
dc.publisherNational Academy of Sciences (U.S.)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1073/pnas.1516139113en_US
dc.rightsArticle 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.en_US
dc.sourcePNASen_US
dc.titleOptogenetic skeletal muscle-powered adaptive biological machinesen_US
dc.typeArticleen_US
dc.identifier.citationRaman, 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.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.mitauthorUzel, Sebastien GM
dc.contributor.mitauthorPlatt, Randall Jeffrey
dc.contributor.mitauthorKamm, Roger Dale
dc.relation.journalProceedings of the National Academy of Sciencesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsRaman, Ritu; Cvetkovic, Caroline; Uzel, Sebastien G. M.; Platt, Randall J.; Sengupta, Parijat; Kamm, Roger D.; Bashir, Rashiden_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-7232-304X
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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