Literature DB >> 28237705

Impedance spectroscopy as an indicator for successful in vivo electric field mediated gene delivery in a murine model.

Reginald M Atkins1, Timothy J Fawcett2, Richard Gilbert3, Andrew M Hoff4, Richard Connolly3, Douglas W Brown5, Anthony J Llewellyn3, Mark J Jaroszeski3.   

Abstract

In vivo gene electro transfer technology has been very successful both in animal models and in clinical trials over the past 20years. However, variable transfection efficiencies can produce inconsistent outcomes. This can be due to differences in tissue architecture and/or chemical composition which may effectively create unique biological environments from subject to subject that may respond differently to the identical electric pulses. This study investigates the integration of impedance spectroscopy into the gene electro transfer process to measure murine skin impedance spectra before, during (after pulse delivery), and after gene electro transfer pulse application to determine if changes in impedance correlate with reporter gene expression. Both post-treatment impedance spectra and gene expression were dependent upon the applied electric field strength. These results indicate that alterations in tissue impedance produced by the applied electric field represent an excellent parameter to predict degrees of transfection and gene expression. These results could ultimately be used to alter pulsing parameters in order to optimize delivery/expression.
Copyright © 2017. Published by Elsevier B.V.

Entities:  

Keywords:  Electroporation; Impedance spectroscopy

Mesh:

Substances:

Year:  2017        PMID: 28237705     DOI: 10.1016/j.bioelechem.2017.01.004

Source DB:  PubMed          Journal:  Bioelectrochemistry        ISSN: 1567-5394            Impact factor:   5.373


  2 in total

1.  Real-time impedance feedback to enhance cutaneous gene electrotransfer in a murine skin model.

Authors:  Reginald M Atkins; Timothy J Fawcett; Richard Gilbert; Andrew M Hoff; Richard Connolly; Douglas W Brown; Mark J Jaroszeski
Journal:  Bioelectrochemistry       Date:  2021-07-13       Impact factor: 5.373

2.  A statistical framework for determination of minimal plasmid copy number required for transgene expression in mammalian cells.

Authors:  Liangli Wang; Chun-Chi Chang; Justin Sylvers; Fan Yuan
Journal:  Bioelectrochemistry       Date:  2020-12-29       Impact factor: 5.373

  2 in total

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