Applications

ABCDEFGHIJKLM
NOPQRSTUVWXYZALL

Detecting Cardiomyocyte Arrhythmia

The development of cardiac arrhythmias as an unintended pharmacological side effect is the most common cause of drug withdrawal and restrictions placed on marketed drugs.

Learn More
Print
Description Available Resources

Detecting Cardiomyocyte Arrhythmia

Discovery, Toxicity

The development of cardiac arrhythmias as an unintended pharmacological side effect is the most common cause of drug withdrawal and restrictions placed on marketed drugs. CDI’s cardiomyocytes have emerged as the most physiologically relevant and predictive human in vitro model system for detecting drug-mediated arrhythmias. Researchers have demonstrated the utility of these cardiomyocytes for this application using platforms including:

  1. Measuring Cardiac Activity: Intracellular Calcium Flux Detection on the FLIPR Tetra System. Cellular Dynamics Application Protocol.
  2. Measuring Cardiac Activity: Impedance Detection with xCELLigence RTCA Cardio System, Cellular Dynamics Application Protocol. [iCell Cardiomyocytes]
  3. Measuring Cardiac Activity: Impedance Detection with xCELLigence RTCA Cardio System, Cellular Dynamics Application Protocol. [iCell Cardiomyocytes2]
  4. Measuring Cardiac Electrical Activity: Field Potential Detection on the Maestro Multielectrode Array. Cellular Dynamics Application Protocol. [iCell Cardiomyocytes)
  5. Measuring Cardiac Electrical Activity: Field Potential Detection on the Maestro Multielectrode Array. Cellular Dynamics Application Protocol. [iCell Cardiomyocytes2]
  6. Measuring Cardiac Electrical Activity: Field Potential Detection with Multielectrode Array. Cellular Dynamics Application Protocol.
  7. Sirenko O, Cromwell EF, et al. (2013) Assessment of Beating Parameters in Human Induced Pluripotent Stem Cells Enables Quantitative In Vitro Screening for Cardiotoxicity. Toxicol Appl Pharmacol 273(3):500-07.
  8. Guo L, Abrams RM, et al. (2011) Estimating the Risk of Drug-induced Proarrhythmia Using Human Induced Pluripotent Stem Cell-derived Cardiomyocytes. Toxicol Sci 123(1):281-289.
  9. Jehle J, Ficker E, et al. (2013) Mechanisms of Zolpidem-induced Long QT Ayndrome: Acute Inhibition of Recombinant hERG K+ Channels and Action Potential Prolongation in Human Cardiomyocytes Derived from Induced Pluripotent Stem Cells. Br J Pharmacol 168(5):1215-29.
  10. Cerignoli R, Charlot D, et al. (2012) High Throughput Measurement of Ca2+ Dynamics for Drug Risk Assessment in Human Stem Cell-derived Cardiomyocytes by Kinetic Image Cytometry. J Pharmacol Toxicol Methods 66(3):246-56.
  11. Hayakawa T, Kunihiro T, et al. (2014) Image-based Evaluation of Contraction–Relaxation Kinetics of Human-induced Pluripotent Stem Cell-derived Cardiomyocytes: Correlation and Complementarity with Extracellular Electrophysiology. J Mol Cell Cardiol 77:178-91.
  12. Kattman S and Whittaker R. (2014) Efficient Detection and Prediction of Drug-induced Cardiac Arrhythmias. Cellular Dynamics/Vala Sciences Webinar.