Massively Parallel Microfluidic Cell-Pairing Platform for the Statistical Study of Immunological Cell-Cell Interactions
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 de...
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Chemical and Biological Microsystems Society
2013
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Online Access: | http://hdl.handle.net/1721.1/81324 https://orcid.org/0000-0001-8898-2296 https://orcid.org/0000-0002-1090-6071 |
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author | Hoehl, Melanie Margarete Dougan, Stephanie K. Ploegh, Hidde Voldman, Joel |
author2 | Harvard University--MIT Division of Health Sciences and Technology |
author_facet | Harvard University--MIT Division of Health Sciences and Technology Hoehl, Melanie Margarete Dougan, Stephanie K. Ploegh, Hidde Voldman, Joel |
author_sort | Hoehl, Melanie Margarete |
collection | MIT |
description | 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. |
first_indexed | 2024-09-23T15:09:00Z |
format | Article |
id | mit-1721.1/81324 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T15:09:00Z |
publishDate | 2013 |
publisher | Chemical and Biological Microsystems Society |
record_format | dspace |
spelling | mit-1721.1/813242022-09-29T12:59:21Z Massively Parallel Microfluidic Cell-Pairing Platform for the Statistical Study of Immunological Cell-Cell Interactions Hoehl, Melanie Margarete Dougan, Stephanie K. Ploegh, Hidde Voldman, Joel Harvard University--MIT Division of Health Sciences and Technology Massachusetts Institute of Technology. Department of Biology Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Whitehead Institute for Biomedical Research Hoehl, Melanie M. Hoehl, Melanie Margarete Dougan, Stephanie K. Ploegh, Hidde Voldman, Joel 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. National Institutes of Health (U.S.) (NIH (EB008550)) Singapore-MIT Alliance 2013-10-04T16:59:25Z 2013-10-04T16:59:25Z 2011-10 Article http://purl.org/eprint/type/ConferencePaper 9781618395955 http://hdl.handle.net/1721.1/81324 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. https://orcid.org/0000-0001-8898-2296 https://orcid.org/0000-0002-1090-6071 en_US www.rsc.org/images/LOC/2011/PDFs/Papers/504_0517.pdf Proceedings of the 15th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2011 Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Chemical and Biological Microsystems Society Melanie Hoehl |
spellingShingle | Hoehl, Melanie Margarete Dougan, Stephanie K. Ploegh, Hidde Voldman, Joel Massively Parallel Microfluidic Cell-Pairing Platform for the Statistical Study of Immunological Cell-Cell Interactions |
title | Massively Parallel Microfluidic Cell-Pairing Platform for the Statistical Study of Immunological Cell-Cell Interactions |
title_full | Massively Parallel Microfluidic Cell-Pairing Platform for the Statistical Study of Immunological Cell-Cell Interactions |
title_fullStr | Massively Parallel Microfluidic Cell-Pairing Platform for the Statistical Study of Immunological Cell-Cell Interactions |
title_full_unstemmed | Massively Parallel Microfluidic Cell-Pairing Platform for the Statistical Study of Immunological Cell-Cell Interactions |
title_short | Massively Parallel Microfluidic Cell-Pairing Platform for the Statistical Study of Immunological Cell-Cell Interactions |
title_sort | massively parallel microfluidic cell pairing platform for the statistical study of immunological cell cell interactions |
url | http://hdl.handle.net/1721.1/81324 https://orcid.org/0000-0001-8898-2296 https://orcid.org/0000-0002-1090-6071 |
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