| dc.contributor.author | Hoehl, Melanie Margarete | |
| dc.contributor.author | Dougan, Stephanie K. | |
| dc.contributor.author | Ploegh, Hidde | |
| dc.contributor.author | Voldman, Joel | |
| dc.date.accessioned | 2013-10-04T16:59:25Z | |
| dc.date.available | 2013-10-04T16:59:25Z | |
| dc.date.issued | 2011-10 | |
| dc.identifier.isbn | 9781618395955 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/81324 | |
| dc.description.abstract | Variability in cell-cell interactions is ubiquitous and particularly relevant for the immune system, where the reliability of cell-cell interactions is critical for the prevention of disease. This variability is poorly understood mainly due to the limitations of current methods. We have therefore designed a highly parallel microfluidic cell-pairing device and optimized its pairing efficiency using fluids modeling. The optimized device can hydrodynamically pair hundreds of primary mouse immune-cells at an efficiency of ~50%. We measured T cell activation dynamics of ~130 primary mouse T cells paired with B cells. Our findings represent the first time that variation has been observed in T cell activation dynamics. | en_US |
| dc.description.sponsorship | National Institutes of Health (U.S.) (NIH (EB008550)) | en_US |
| dc.description.sponsorship | Singapore-MIT Alliance | en_US |
| dc.language.iso | en_US | |
| dc.publisher | Chemical and Biological Microsystems Society | en_US |
| dc.relation.isversionof | www.rsc.org/images/LOC/2011/PDFs/Papers/504_0517.pdf | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike 3.0 | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/ | en_US |
| dc.source | Melanie Hoehl | en_US |
| dc.title | Massively Parallel Microfluidic Cell-Pairing Platform for the Statistical Study of Immunological Cell-Cell Interactions | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Hoehl, Melanie, Stephanie K. Dougan, Hidde L. Ploegh, and Joel Voldman. "Massively Parallel Microfluidic Cell-Pairing Platform for the Statistical Study of Immunological Cell-Cell Interactions." In 15th International Conference on Miniaturized Systems for Chemistry and Life Sciences, October 2-6, 2011, Seattle, Washington, USA. | en_US |
| dc.contributor.department | Harvard University--MIT Division of Health Sciences and Technology | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Biology | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
| dc.contributor.department | Whitehead Institute for Biomedical Research | en_US |
| dc.contributor.approver | Hoehl, Melanie M. | en_US |
| dc.contributor.mitauthor | Hoehl, Melanie Margarete | en_US |
| dc.contributor.mitauthor | Dougan, Stephanie K. | en_US |
| dc.contributor.mitauthor | Ploegh, Hidde | en_US |
| dc.contributor.mitauthor | Voldman, Joel | en_US |
| dc.relation.journal | Proceedings of the 15th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2011 | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.identifier.orcid | https://orcid.org/0000-0001-8898-2296 | |
| dc.identifier.orcid | https://orcid.org/0000-0002-1090-6071 | |
| mit.license | OPEN_ACCESS_POLICY | en_US |
| mit.metadata.status | Complete | |