» Articles » PMID: 28515450

Microfluidic Sorting of Cells by Viability Based on Differences in Cell Stiffness

Overview
Journal Sci Rep
Specialty Science
Date 2017 May 19
PMID 28515450
Citations 27
Authors
Affiliations
Soon will be listed here.
Abstract

The enrichment of viable cells is an essential step to obtain effective products for cell therapy. While procedures exist to characterize the viability of cells, most methods to exclude nonviable cells require the use of density gradient centrifugation or antibody-based cell sorting with molecular labels of cell viability. We report a label-free microfluidic technique to separate live and dead cells that exploits differences in cellular stiffness. The device uses a channel with repeated ridges that are diagonal with respect to the direction of cell flow. Stiff nonviable cells directed through the channel are compressed and translated orthogonally to the channel length, while soft live cells follow hydrodynamic flow. As a proof of concept, Jurkat cells are enriched to high purity of viable cells by a factor of 185-fold. Cell stiffness was validated as a sorting parameter as nonviable cells were substantially stiffer than live cells. To highlight the utility for hematopoietic stem cell transplantation, frozen samples of cord blood were thawed and the purity of viable nucleated cells was increased from 65% to over 94% with a recovery of 73% of the viable cells. Thus, the microfluidic stiffness sorting can simply and efficiently obtain highly pure populations of viable cells.

Citing Articles

Characterization, Enrichment, and Computational Modeling of Cross-Linked Actin Networks in Transformed Trabecular Meshwork Cells.

Li H, Harvey D, Dai J, Swingle S, Compton A, Sugali C Invest Ophthalmol Vis Sci. 2025; 66(2):65.

PMID: 40009371 PMC: 11878246. DOI: 10.1167/iovs.66.2.65.


Characterization, enrichment, and computational modeling of cross-linked actin networks in trabecular meshwork cells.

Li H, Harvey D, Dai J, Swingle S, Compton A, Sugali C bioRxiv. 2024; .

PMID: 39229235 PMC: 11370370. DOI: 10.1101/2024.08.21.608970.


Label-free microfluidic isolation of functional and viable lymphocytes from peripheral blood mononuclear cells.

Raj A, Ramirez K, Young K, Stone N, Shankles P, Nadeem Rajab Ali M Biomicrofluidics. 2023; 17(5):054102.

PMID: 37736019 PMC: 10511259. DOI: 10.1063/5.0161047.


Continuous Flow Separation of Live and Dead Cells Using Gravity Sedimentation.

Ozcelik A, Gucluer S, Keskin T Micromachines (Basel). 2023; 14(8).

PMID: 37630106 PMC: 10456911. DOI: 10.3390/mi14081570.


Advances in Microfluidics for Single Red Blood Cell Analysis.

Grigorev G, Lebedev A, Wang X, Qian X, Maksimov G, Lin L Biosensors (Basel). 2023; 13(1).

PMID: 36671952 PMC: 9856164. DOI: 10.3390/bios13010117.


References
1.
Kim K, Cho C, Park E, Jung M, Yoon K, Park H . AFM-detected apoptotic changes in morphology and biophysical property caused by paclitaxel in Ishikawa and HeLa cells. PLoS One. 2012; 7(1):e30066. PMC: 3260205. DOI: 10.1371/journal.pone.0030066. View

2.
Di Carlo D, Edd J, Irimia D, Tompkins R, Toner M . Equilibrium separation and filtration of particles using differential inertial focusing. Anal Chem. 2008; 80(6):2204-11. DOI: 10.1021/ac702283m. View

3.
Nagy A, Rossant J, Nagy R, Abramow-Newerly W, Roder J . Derivation of completely cell culture-derived mice from early-passage embryonic stem cells. Proc Natl Acad Sci U S A. 1993; 90(18):8424-8. PMC: 47369. DOI: 10.1073/pnas.90.18.8424. View

4.
Nakamura M, Esumi H, Jin L, Mitsuya H, Hata H . Induction of necrosis in human myeloma cells by kigamicin. Anticancer Res. 2008; 28(1A):37-43. View

5.
Wang G, Mao W, Byler R, Patel K, Henegar C, Alexeev A . Stiffness dependent separation of cells in a microfluidic device. PLoS One. 2013; 8(10):e75901. PMC: 3797716. DOI: 10.1371/journal.pone.0075901. View