Literature DB >> 18096719

Unique dielectric properties distinguish stem cells and their differentiated progeny.

Lisa A Flanagan1, Jente Lu, Lisen Wang, Steve A Marchenko, Noo Li Jeon, Abraham P Lee, Edwin S Monuki.   

Abstract

The relatively new field of stem cell biology is hampered by a lack of sufficient means to accurately determine the phenotype of cells. Cell-type-specific markers, such as cell surface proteins used for flow cytometry or fluorescence-activated cell sorting, are limited and often recognize multiple members of a stem cell lineage. We sought to develop a complementary approach that would be less dependent on the identification of particular markers for the subpopulations of cells and would instead measure their overall character. We tested whether a microfluidic system using dielectrophoresis (DEP), which induces a frequency-dependent dipole in cells, would be useful for characterizing stem cells and their differentiated progeny. We found that populations of mouse neural stem/precursor cells (NSPCs), differentiated neurons, and differentiated astrocytes had different dielectric properties revealed by DEP. By isolating NSPCs from developmental ages at which they are more likely to generate neurons, or astrocytes, we were able to show that a shift in dielectric property reflecting their fate bias precedes detectable marker expression in these cells and identifies specific progenitor populations. In addition, experimental data and mathematical modeling suggest that DEP curve parameters can indicate cell heterogeneity in mixed cultures. These findings provide evidence for a whole cell property that reflects stem cell fate bias and establish DEP as a tool with unique capabilities for interrogating, characterizing, and sorting stem cells.

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Year:  2007        PMID: 18096719     DOI: 10.1634/stemcells.2007-0810

Source DB:  PubMed          Journal:  Stem Cells        ISSN: 1066-5099            Impact factor:   6.277


  64 in total

1.  Frequency-dependent behaviors of individual microscopic particles in an optically induced dielectrophoresis device.

Authors:  Xiaolu Zhu; Hong Yi; Zhonghua Ni
Journal:  Biomicrofluidics       Date:  2010-01-07       Impact factor: 2.800

2.  Dielectrophoretic differentiation of mouse ovarian surface epithelial cells, macrophages, and fibroblasts using contactless dielectrophoresis.

Authors:  Alireza Salmanzadeh; Harsha Kittur; Michael B Sano; Paul C Roberts; Eva M Schmelz; Rafael V Davalos
Journal:  Biomicrofluidics       Date:  2012-04-03       Impact factor: 2.800

Review 3.  Bioelectric mechanisms in regeneration: Unique aspects and future perspectives.

Authors:  Michael Levin
Journal:  Semin Cell Dev Biol       Date:  2009-05-03       Impact factor: 7.727

Review 4.  Role of membrane potential in the regulation of cell proliferation and differentiation.

Authors:  Sarah Sundelacruz; Michael Levin; David L Kaplan
Journal:  Stem Cell Rev Rep       Date:  2009-06-27       Impact factor: 5.739

5.  Label-free isolation of circulating tumor cells in microfluidic devices: Current research and perspectives.

Authors:  Igor Cima; Chay Wen Yee; Florina S Iliescu; Wai Min Phyo; Kiat Hon Lim; Ciprian Iliescu; Min Han Tan
Journal:  Biomicrofluidics       Date:  2013-01-24       Impact factor: 2.800

6.  Separation of tumor cells with dielectrophoresis-based microfluidic chip.

Authors:  Mohammed Alshareef; Nicholas Metrakos; Eva Juarez Perez; Fadi Azer; Fang Yang; Xiaoming Yang; Guiren Wang
Journal:  Biomicrofluidics       Date:  2013-01-09       Impact factor: 2.800

7.  Investigating dielectric properties of different stages of syngeneic murine ovarian cancer cells.

Authors:  Alireza Salmanzadeh; Michael B Sano; Roberto C Gallo-Villanueva; Paul C Roberts; Eva M Schmelz; Rafael V Davalos
Journal:  Biomicrofluidics       Date:  2013-01-23       Impact factor: 2.800

8.  Exploitation of physical and chemical constraints for three-dimensional microtissue construction in microfluidics.

Authors:  Deepak Choudhury; Xuejun Mo; Ciprian Iliescu; Loo Ling Tan; Wen Hao Tong; Hanry Yu
Journal:  Biomicrofluidics       Date:  2011-06-29       Impact factor: 2.800

9.  Real-time label-free monitoring of adipose-derived stem cell differentiation with electric cell-substrate impedance sensing.

Authors:  Pierre O Bagnaninchi; Nicola Drummond
Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-04       Impact factor: 11.205

Review 10.  Separation of neural stem cells by whole cell membrane capacitance using dielectrophoresis.

Authors:  Tayloria N G Adams; Alan Y L Jiang; Prema D Vyas; Lisa A Flanagan
Journal:  Methods       Date:  2017-08-31       Impact factor: 3.608

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