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Related Experiment Video

Updated: May 29, 2026

A Cardiac Microphysiological System for Studying Ca2+ Propagation via Non-genetic Optical Stimulation
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A Cardiac Microphysiological System for Studying Ca2+ Propagation via Non-genetic Optical Stimulation

Published on: March 21, 2025

Multiscale computational models for optogenetic control of cardiac function.

Oscar J Abilez1, Jonathan Wong, Rohit Prakash

  • 1Department of Bioengineering, Stanford University, Stanford, California, USA.

Biophysical Journal
|September 28, 2011
PubMed
Summary
This summary is machine-generated.

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Optogenetics enables light-based control of cardiac cells. This study combines experiments and computational modeling to optimize light stimulation for potential heart pacing applications.

Area of Science:

  • Biophysics
  • Cardiology
  • Optogenetics

Background:

  • Optogenetic stimulation of mammalian cells offers novel therapeutic avenues for excitable tissues.
  • Channelrhodopsin-2 (ChR2) is a light-gated ion channel used for optogenetic control.

Purpose of the Study:

  • To demonstrate optogenetic control of cardiac cells using a hybrid experimental and computational approach.
  • To develop and validate a computational model for simulating optogenetically stimulated cardiomyocytes.
  • To explore optimal light stimulation protocols for potential cardiac pacing.

Main Methods:

  • Genetically engineered human embryonic stem cell-derived cardiomyocytes expressing Channelrhodopsin-2.
  • Optical stimulation and assessment of electrical, biochemical, and mechanical signals.

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Advanced Cardiac Rhythm Management by Applying Optogenetic Multi-Site Photostimulation in Murine Hearts
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Published on: August 26, 2021

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Last Updated: May 29, 2026

A Cardiac Microphysiological System for Studying Ca2+ Propagation via Non-genetic Optical Stimulation
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Published on: March 21, 2025

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08:43

Advanced Cardiac Rhythm Management by Applying Optogenetic Multi-Site Photostimulation in Murine Hearts

Published on: August 26, 2021

  • Development and calibration of a computational cardiac cell model incorporating ChR2 photocurrent.
  • Virtual simulation of ChR2-expressing cells within a human heart model.

    • Main Results:

    • Successful optical stimulation of ChR2-expressing cardiomyocytes, inducing changes in transmembrane potential.
    • Validated computational model accurately reflecting experimental photostimulation responses.
    • Demonstrated virtual pacing of a human heart model using optimized light stimulation sequences.

    Conclusions:

    • A hybrid experimental/computational approach effectively demonstrates optogenetic control in cardiac cells.
    • The developed computational toolbox enables virtual exploration of photostimulation parameters.
    • This work lays the foundation for light-based cardiac pacing strategies.