Impedance-based cellular assays for regenerative medicine

Philos Trans R Soc Lond B Biol Sci. 2018 Jul 5;373(1750):20170226. doi: 10.1098/rstb.2017.0226.

Abstract

Therapies based on regenerative techniques have the potential to radically improve healthcare in the coming years. As a result, there is an emerging need for non-destructive and label-free technologies to assess the quality of engineered tissues and cell-based products prior to their use in the clinic. In parallel, the emerging regenerative medicine industry that aims to produce stem cells and their progeny on a large scale will benefit from moving away from existing destructive biochemical assays towards data-driven automation and control at the industrial scale. Impedance-based cellular assays (IBCA) have emerged as an alternative approach to study stem-cell properties and cumulative studies, reviewed here, have shown their potential to monitor stem-cell renewal, differentiation and maturation. They offer a novel method to non-destructively assess and quality-control stem-cell cultures. In addition, when combined with in vitro disease models they provide complementary insights as label-free phenotypic assays. IBCA provide quantitative and very sensitive results that can easily be automated and up-scaled in multi-well format. When facing the emerging challenge of real-time monitoring of three-dimensional cell culture dielectric spectroscopy and electrical impedance tomography represent viable alternatives to two-dimensional impedance sensing.This article is part of the theme issue 'Designer human tissue: coming to a lab near you'.

Keywords: electrical impedance spectroscopy; impedance sensing; impedance spectroscopy; label-free assays; stem cell; tissue engineering.

Publication types

  • Review

MeSH terms

  • Cell Culture Techniques / methods*
  • Cell Differentiation*
  • Dielectric Spectroscopy / methods
  • Electric Impedance*
  • Humans
  • Regenerative Medicine / methods*
  • Stem Cells / pathology*
  • Tissue Engineering / methods
  • Tomography / methods

Associated data

  • figshare/10.6084/m9.figshare.c.4064330