ReviewPflugers Archiv : European journal of physiology2023
Recent advances and current limitations of available technology to optically manipulate and observe cardiac electrophysiology.
Review in Pflugers Archiv : European journal of physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed, 9 citations in OpenAlex.
- Crosstalk-free optical indicator-actuator combinations for bidirectional optogenetics.npj biomedical innovations · 2026Review
- Bio-integrated μBots with overtone ultrawideband magnetoelectric antennas for wireless telemetry.Science advances · 2026Article
- Electrical coupling between transplanted cardiomyocytes and host myocardium to prevent arrhythmia.Disease models & mechanisms · 2026Review
- Zebrafish Ace2N-mNeon expression toolkit forNeurophotonics · 2026Article
- Strategies to Decipher Neuron Identity from Extracellular Recordings in Behaving Nonhuman Primates.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Optogenetic stimulation and simultaneous optical mapping of membrane potential and calcium transients in human engineered cardiac spheroids.Journal of molecular and cellular cardiology · 2025Article
- Dual color optogenetic tool enables heart arrest, bradycardic, and tachycardic pacing in Drosophila melanogaster.Communications biology · 2024Article
- A cross species thermoelectric and spatiotemporal analysis of alternans in live explanted hearts using dual voltage-calcium fluorescence optical mapping.Physiological measurement · 2024Article
- Optogenetics meets physiology.Pflugers Archiv : European journal of physiology · 2023Article
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 3 countries.
Funding
Abstract
Optogenetics, utilising light-reactive proteins to manipulate tissue activity, are a relatively novel approach in the field of cardiac electrophysiology. We here provide an overview of light-activated transmembrane channels (optogenetic actuators) currently applied in strategies to modulate cardiac activity, as well as newly developed variants yet to be implemented in the heart. In addition, we touch upon genetically encoded indicators (optogenetic sensors) and fluorescent dyes to monitor tissue activity, including cardiac transmembrane potential and ion homeostasis. The combination of the two allows for all-optical approaches to monitor and manipulate the heart without any physical contact. However, spectral congestion poses a major obstacle, arising due to the overlap of excitation/activation and emission spectra of various optogenetic proteins and/or fluorescent dyes, resulting in optical crosstalk. Therefore, optogenetic proteins and fluorescent dyes should be carefully selected to avoid optical crosstalk and consequent disruptions in readouts and/or cellular activity. We here present a novel approach to simultaneously monitor transmembrane potential and cytosolic calcium, while also performing optogenetic manipulation. For this, we used the novel voltage-sensitive dye ElectroFluor 730p and the cytosolic calcium indicator X-Rhod-1 in mouse hearts expressing channelrhodopsin-2 (ChR2). By exploiting the isosbestic point of ElectroFluor 730p and avoiding the ChR2 activation spectrum, we here introduce a novel optical imaging and manipulation approach with minimal crosstalk. Future developments in both optogenetic proteins and fluorescent dyes will allow for additional and more optimised strategies, promising a bright future for all-optical approaches in the field of cardiac electrophysiology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.