Literature DB >> 23225773

Characterization of human skeletal stem and bone cell populations using dielectrophoresis.

A Ismail1, M P Hughes, H J Mulhall, R O C Oreffo, F H Labeed.   

Abstract

Dielectrophoresis (DEP) is a non-invasive cell analysis method that uses differences in electrical properties between particles and surrounding medium to determine a unique set of cellular properties that can be used as a basis for cell separation. Cell-based therapies using skeletal stem cells are currently one of the most promising areas for treating a variety of skeletal and muscular disorders. However, identifying and sorting these cells remains a challenge in the absence of unique skeletal stem cell markers. DEP provides an ideal method for identifying subsets of cells without the need for markers by using their dielectric properties. This study used a 3D dielectrophoretic well chip device to determine the dielectric characteristics of two osteosarcoma cell lines (MG-63 and SAOS-2) and an immunoselected enriched skeletal stem cell fraction (STRO-1 positive cell) of human bone marrow. Skeletal cells were exposed to a series of different frequencies to induce dielectrophoretic cell movement, and a model was developed to generate the membrane and cytoplasmic properties of the cell populations. Differences were observed in the dielectric properties of MG-63, SAOS-2 and STRO-1 enriched skeletal populations, which could potentially be used to sort cells in mixed populations. This study provide evidence of the ability to characterize different human skeletal stem and mature cell populations, and acts as a proof-of-concept that dielectrophoresis can be exploited to detect, isolate and separate skeletal cell populations from heterogeneous bone marrow cell populations.
Copyright © 2012 John Wiley & Sons, Ltd.

Entities:  

Keywords:  STRO-1; cell sort characterization; dielectrophoresis; osteoprogenitor; skeletal stem cell

Mesh:

Substances:

Year:  2012        PMID: 23225773     DOI: 10.1002/term.1629

Source DB:  PubMed          Journal:  J Tissue Eng Regen Med        ISSN: 1932-6254            Impact factor:   3.963


  9 in total

1.  Monitoring drug induced apoptosis and treatment sensitivity in non-small cell lung carcinoma using dielectrophoresis.

Authors:  Rajeshwari Taruvai Kalyana Kumar; Shanshan Liu; John D Minna; Shalini Prasad
Journal:  Biochim Biophys Acta       Date:  2016-06-02

Review 2.  Microscale nonlinear electrokinetics for the analysis of cellular materials in clinical applications: a review.

Authors:  Blanca H Lapizco-Encinas
Journal:  Mikrochim Acta       Date:  2021-03-02       Impact factor: 5.833

Review 3.  A review of polystyrene bead manipulation by dielectrophoresis.

Authors:  Qiaoying Chen; Yong J Yuan
Journal:  RSC Adv       Date:  2019-02-08       Impact factor: 4.036

4.  Node-pore sensing enables label-free surface-marker profiling of single cells.

Authors:  Karthik R Balakrishnan; Jeremy C Whang; Richard Hwang; James H Hack; Lucy A Godley; Lydia L Sohn
Journal:  Anal Chem       Date:  2015-02-12       Impact factor: 6.986

5.  Size and dielectric properties of skeletal stem cells change critically after enrichment and expansion from human bone marrow: consequences for microfluidic cell sorting.

Authors:  Miguel Xavier; María C de Andrés; Daniel Spencer; Richard O C Oreffo; Hywel Morgan
Journal:  J R Soc Interface       Date:  2017-08       Impact factor: 4.118

Review 6.  Dielectrophoresis for Biomedical Sciences Applications: A Review.

Authors:  Nurhaslina Abd Rahman; Fatimah Ibrahim; Bashar Yafouz
Journal:  Sensors (Basel)       Date:  2017-02-24       Impact factor: 3.576

7.  Characterization of Simple and Double Yeast Cells Using Dielectrophoretic Force Measurement.

Authors:  Fernando-Juan García-Diego; Mario Rubio-Chavarría; Pedro Beltrán; Francisco J Espinós
Journal:  Sensors (Basel)       Date:  2019-09-03       Impact factor: 3.576

8.  Thermal Shock Response of Yeast Cells Characterised by Dielectrophoresis Force Measurement.

Authors:  García-Diego Fernando-Juan; Mario Rubio-Chavarría; Pedro Beltrán; Francisco J Espinós
Journal:  Sensors (Basel)       Date:  2019-12-02       Impact factor: 3.576

9.  Suppressing STAT5 signaling affects osteosarcoma growth and stemness.

Authors:  Dharmalingam Subramaniam; Pablo Angulo; Sivapriya Ponnurangam; Prasad Dandawate; Prabhu Ramamoorthy; Pugazhendhi Srinivasan; Tomoo Iwakuma; Scott J Weir; Katherine Chastain; Shrikant Anant
Journal:  Cell Death Dis       Date:  2020-02-24       Impact factor: 8.469

  9 in total

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