Cell-based sensors for quantifying the physiological impact of microsystems
2012 January 1
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Royal Society of Chemistry, The
2012
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| Online Access: | http://hdl.handle.net/1721.1/73915 https://orcid.org/0000-0001-8898-2296 |
| _version_ | 1811089836540428288 |
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| author | Desai, Salil P. Voldman, Joel |
| author2 | Massachusetts Institute of Technology. Institute for Medical Engineering & Science |
| author_facet | Massachusetts Institute of Technology. Institute for Medical Engineering & Science Desai, Salil P. Voldman, Joel |
| author_sort | Desai, Salil P. |
| collection | MIT |
| description | 2012 January 1 |
| first_indexed | 2024-09-23T14:25:25Z |
| format | Article |
| id | mit-1721.1/73915 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T14:25:25Z |
| publishDate | 2012 |
| publisher | Royal Society of Chemistry, The |
| record_format | dspace |
| spelling | mit-1721.1/739152022-10-01T21:16:16Z Cell-based sensors for quantifying the physiological impact of microsystems Desai, Salil P. Voldman, Joel Massachusetts Institute of Technology. Institute for Medical Engineering & Science Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Desai, Salil P. Voldman, Joel 2012 January 1 Microsystems 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. National Institutes of Health (U.S.) (Grant RR199652) National Institutes of Health (U.S.) (Grant EB005753) 2012-10-12T14:12:54Z 2012-10-12T14:12:54Z 2010-10 2010-07 Article http://purl.org/eprint/type/JournalArticle 1757-9694 1757-9708 http://hdl.handle.net/1721.1/73915 Desai, Salil P., and Joel Voldman. “Cell-based Sensors for Quantifying the Physiological Impact of Microsystems.” Integrative Biology 3.1 (2011): 48. https://orcid.org/0000-0001-8898-2296 en_US http://dx.doi.org/10.1039/c0ib00067a Integrative Biology Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Royal Society of Chemistry, The PubMed Central |
| spellingShingle | Desai, Salil P. Voldman, Joel Cell-based sensors for quantifying the physiological impact of microsystems |
| title | Cell-based sensors for quantifying the physiological impact of microsystems |
| title_full | Cell-based sensors for quantifying the physiological impact of microsystems |
| title_fullStr | Cell-based sensors for quantifying the physiological impact of microsystems |
| title_full_unstemmed | Cell-based sensors for quantifying the physiological impact of microsystems |
| title_short | Cell-based sensors for quantifying the physiological impact of microsystems |
| title_sort | cell based sensors for quantifying the physiological impact of microsystems |
| url | http://hdl.handle.net/1721.1/73915 https://orcid.org/0000-0001-8898-2296 |
| work_keys_str_mv | AT desaisalilp cellbasedsensorsforquantifyingthephysiologicalimpactofmicrosystems AT voldmanjoel cellbasedsensorsforquantifyingthephysiologicalimpactofmicrosystems |