Publication detail

Phenotypic assays for analysis of pluripotent stem cell derived cardiomyocytes

PEŠL, M. PŘIBYL, J. ČMIEL, V. AĆIMOVIĆ, I. JELÍNKOVÁ, Š. DVOŘÁK, P. STÁREK, Z. SKLÁDAL, P. ROTREKL, V.

Original Title

Phenotypic assays for analysis of pluripotent stem cell derived cardiomyocytes

English Title

Phenotypic assays for analysis of pluripotent stem cell derived cardiomyocytes

Type

journal article

Language

en

Original Abstract

A novel approach combining atomic force microscopy, fluorescent microscopy, and external electrophysiology through microelectrode arrays is introduced. The paper demonstrates that this novel method can be used to gain unique information on the complex excitation-contraction coupling dynamics of the hPSC-derived CMs.

English abstract

A novel approach combining atomic force microscopy, fluorescent microscopy, and external electrophysiology through microelectrode arrays is introduced. The paper demonstrates that this novel method can be used to gain unique information on the complex excitation-contraction coupling dynamics of the hPSC-derived CMs.

Keywords

atomic force microscopy; cardiomyocytes; differentiation; drug screening; drug toxicity; hESC; hiPSC; high-throughput screening

Released

30.01.2017

Publisher

Journal of Molecular Recognition

Pages from

1

Pages to

14

Pages count

14

BibTex


@article{BUT130369,
  author="Martin {Pešl} and Jan {Přibyl} and Vratislav {Čmiel} and Ivana {Aćimović} and Šárka {Jelínková} and Petr {Dvořák} and Zdeněk {Stárek} and Petr {Skládal} and Vladimír {Rotrekl}",
  title="Phenotypic assays for analysis of pluripotent stem cell derived cardiomyocytes",
  annote="A novel approach combining atomic force microscopy, fluorescent microscopy, and external electrophysiology through microelectrode arrays is introduced. The paper demonstrates that this novel method can be used to gain unique information on the complex excitation-contraction coupling dynamics of the hPSC-derived CMs.",
  address="Journal of Molecular Recognition",
  chapter="130369",
  doi="10.1002/jmr.2602",
  howpublished="online",
  institution="Journal of Molecular Recognition",
  number="6",
  volume="30",
  year="2017",
  month="january",
  pages="1--14",
  publisher="Journal of Molecular Recognition",
  type="journal article"
}