Literature DB >> 32056730

Label-free enrichment of fate-biased human neural stem and progenitor cells.

Tayloria N G Adams1, Alan Y L Jiang2, Nicolo S Mendoza3, Clarissa C Ro3, Do-Hyun Lee4, Abraham P Lee4, Lisa A Flanagan5.   

Abstract

Human neural stem and progenitor cells (hNSPCs) have therapeutic potential to treat neural diseases and injuries since they provide neuroprotection and differentiate into astrocytes, neurons, and oligodendrocytes. However, cultures of hNSPCs are heterogeneous, containing cells linked to distinct differentiated cell fates. HNSPCs that differentiate into astrocytes are of interest for specific neurological diseases, creating a need for approaches that can detect and isolate these cells. Astrocyte-biased hNSPCs differ from other cell types in electrophysiological properties, namely membrane capacitance, and we hypothesized that this could be used to enrich these cells using dielectrophoresis (DEP). We implemented a two-step DEP sorting scheme, consisting of analysis to define the optimal sorting frequency followed by separation of cells at that frequency, to test whether astrocyte-biased cells could be separated from the other cell types present in hNSPC cultures. We developed a novel device that increased sorting reproducibility and provided both enriched and depleted cell populations in a single sort. Astrocyte-biased cells were successfully enriched from hNSPC cultures by DEP sorting, making this the first study to use electrophysiological properties for label-free enrichment of human astrocyte-biased cells. Enriched astrocyte-biased human cells enable future experiments to determine the specific properties of these important cells and test their therapeutic efficacy in animal models of neurological diseases.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Astrocyte; Cell sorting; Dielectrophoresis; Membrane capacitance; Microfluidic; Neural stem and progenitor cell

Mesh:

Year:  2019        PMID: 32056730      PMCID: PMC8860404          DOI: 10.1016/j.bios.2019.111982

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  39 in total

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Review 8.  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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5.  Rational Design and Numerical Analysis of a Hybrid Floating cIDE Separator for Continuous Dielectrophoretic Separation of Microparticles at High Throughput.

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6.  On-chip microfluidic buffer swap of biological samples in-line with downstream dielectrophoresis.

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  6 in total

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