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dc.contributor.authorDesai, Salil P.
dc.contributor.authorVoldman, Joel
dc.date.accessioned2012-10-12T14:12:54Z
dc.date.available2012-10-12T14:12:54Z
dc.date.issued2010-10
dc.date.submitted2010-07
dc.identifier.issn1757-9694
dc.identifier.issn1757-9708
dc.identifier.urihttp://hdl.handle.net/1721.1/73915
dc.description2012 January 1en_US
dc.description.abstractMicrosystems are increasingly used in the manipulation, patterning and sorting of cells. Critical to the widespread adoption of these new technologies is development of an understanding of their impact on cellular physiology. Here we show the integration of a cell-based sensor, a microfabricated electrical screening platform, and quantitative imaging to enable the first large-scale physiological screens of the impact of microsystems on cells. To perform physiological screening, we developed a cell-based sensor that reports on stress-mediated transcription (via Heat Shock Factor 1 induced expression of GFP). This cell-based sensor was quantitatively characterized using automated imaging. The integration of this quantitative physiological sensor with a microfabricated system enabled the execution of multiplexed screens across electric field strength, frequency, and application duration. Voltage sweeps indicate increasing physiological stress with increasing voltage due to Joule heating, while frequency sweeps indicate increased stress at lower frequencies (<500 kHz) compared with higher frequencies (>1 MHz) due to generation of reactive species at lower frequencies. Combined voltage and frequency sweeps enable the generation of complex maps of physiological state.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant RR199652)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant EB005753)en_US
dc.language.isoen_US
dc.publisherRoyal Society of Chemistry, Theen_US
dc.relation.isversionofhttp://dx.doi.org/10.1039/c0ib00067aen_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourcePubMed Centralen_US
dc.titleCell-based sensors for quantifying the physiological impact of microsystemsen_US
dc.typeArticleen_US
dc.identifier.citationDesai, Salil P., and Joel Voldman. “Cell-based Sensors for Quantifying the Physiological Impact of Microsystems.” Integrative Biology 3.1 (2011): 48.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorDesai, Salil P.
dc.contributor.mitauthorVoldman, Joel
dc.relation.journalIntegrative Biologyen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsDesai, Salil P.; Voldman, Joelen
dc.identifier.orcidhttps://orcid.org/0000-0001-8898-2296
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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