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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Main Authors: Hoehl, Melanie Margarete, Dougan, Stephanie K., Ploegh, Hidde, Voldman, Joel
Other Authors: Harvard University--MIT Division of Health Sciences and Technology
Format: Article
Language:en_US
Published: Chemical and Biological Microsystems Society 2013
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.
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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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