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Sorting cells by their dynamical properties

Recent advances in cell sorting aim at the development of novel methods that are sensitive to various mechanical properties of cells. Microfluidic technologies have a great potential for cell sorting; however, the design of many micro-devices is based on theories developed for rigid spherical partic...

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Autores principales: Henry, Ewan, Holm, Stefan H., Zhang, Zunmin, Beech, Jason P., Tegenfeldt, Jonas O., Fedosov, Dmitry A., Gompper, Gerhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5052630/
https://www.ncbi.nlm.nih.gov/pubmed/27708337
http://dx.doi.org/10.1038/srep34375
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author Henry, Ewan
Holm, Stefan H.
Zhang, Zunmin
Beech, Jason P.
Tegenfeldt, Jonas O.
Fedosov, Dmitry A.
Gompper, Gerhard
author_facet Henry, Ewan
Holm, Stefan H.
Zhang, Zunmin
Beech, Jason P.
Tegenfeldt, Jonas O.
Fedosov, Dmitry A.
Gompper, Gerhard
author_sort Henry, Ewan
collection PubMed
description Recent advances in cell sorting aim at the development of novel methods that are sensitive to various mechanical properties of cells. Microfluidic technologies have a great potential for cell sorting; however, the design of many micro-devices is based on theories developed for rigid spherical particles with size as a separation parameter. Clearly, most bioparticles are non-spherical and deformable and therefore exhibit a much more intricate behavior in fluid flow than rigid spheres. Here, we demonstrate the use of cells’ mechanical and dynamical properties as biomarkers for separation by employing a combination of mesoscale hydrodynamic simulations and microfluidic experiments. The dynamic behavior of red blood cells (RBCs) within deterministic lateral displacement (DLD) devices is investigated for different device geometries and viscosity contrasts between the intra-cellular fluid and suspending medium. We find that the viscosity contrast and associated cell dynamics clearly determine the RBC trajectory through a DLD device. Simulation results compare well to experiments and provide new insights into the physical mechanisms which govern the sorting of non-spherical and deformable cells in DLD devices. Finally, we discuss the implications of cell dynamics for sorting schemes based on properties other than cell size, such as mechanics and morphology.
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spelling pubmed-50526302016-10-19 Sorting cells by their dynamical properties Henry, Ewan Holm, Stefan H. Zhang, Zunmin Beech, Jason P. Tegenfeldt, Jonas O. Fedosov, Dmitry A. Gompper, Gerhard Sci Rep Article Recent advances in cell sorting aim at the development of novel methods that are sensitive to various mechanical properties of cells. Microfluidic technologies have a great potential for cell sorting; however, the design of many micro-devices is based on theories developed for rigid spherical particles with size as a separation parameter. Clearly, most bioparticles are non-spherical and deformable and therefore exhibit a much more intricate behavior in fluid flow than rigid spheres. Here, we demonstrate the use of cells’ mechanical and dynamical properties as biomarkers for separation by employing a combination of mesoscale hydrodynamic simulations and microfluidic experiments. The dynamic behavior of red blood cells (RBCs) within deterministic lateral displacement (DLD) devices is investigated for different device geometries and viscosity contrasts between the intra-cellular fluid and suspending medium. We find that the viscosity contrast and associated cell dynamics clearly determine the RBC trajectory through a DLD device. Simulation results compare well to experiments and provide new insights into the physical mechanisms which govern the sorting of non-spherical and deformable cells in DLD devices. Finally, we discuss the implications of cell dynamics for sorting schemes based on properties other than cell size, such as mechanics and morphology. Nature Publishing Group 2016-10-06 /pmc/articles/PMC5052630/ /pubmed/27708337 http://dx.doi.org/10.1038/srep34375 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Henry, Ewan
Holm, Stefan H.
Zhang, Zunmin
Beech, Jason P.
Tegenfeldt, Jonas O.
Fedosov, Dmitry A.
Gompper, Gerhard
Sorting cells by their dynamical properties
title Sorting cells by their dynamical properties
title_full Sorting cells by their dynamical properties
title_fullStr Sorting cells by their dynamical properties
title_full_unstemmed Sorting cells by their dynamical properties
title_short Sorting cells by their dynamical properties
title_sort sorting cells by their dynamical properties
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5052630/
https://www.ncbi.nlm.nih.gov/pubmed/27708337
http://dx.doi.org/10.1038/srep34375
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