Evidence map›Paper›PMID 24068903›Full record

ArticlePLoS computational biology2013

Computational optogenetics: empirically-derived voltage- and light-sensitive channelrhodopsin-2 model.

John C Williams, Jianjin Xu, Zhongju Lu, Aleksandra Klimas, Xuxin Chen, Christina M Ambrosi, Ira S Cohen, Emilia Entcheva

Abstract read
In one paragraph

Article in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

72 citing papers in PubMed.

  1. Article
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  7. Analytical solutions for light propagation of LED.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Cardiac optogenetics: shining light on signaling pathways.Pflugers Archiv : European journal of physiology · 2023
    Review
  16. In silico optical modulation of spiral wave trajectories in cardiac tissue.Pflugers Archiv : European journal of physiology · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. Quantitative analysis of the optogenetic excitability of CA1 neurons.Frontiers in computational neuroscience · 2023
    Article

12 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

John C WilliamsDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, New York, United States of America.
Jianjin Xu
Zhongju Lu
Aleksandra Klimas
Xuxin Chen
Christina M Ambrosi
Ira S Cohen
Emilia Entcheva

Funding

THE BIOCHEMISTRY AND CELL BIOLOGY OF METABOLIC DISEASEST32DK007521 · NIDDK · STATE UNIVERSITY NEW YORK STONY BROOK · PI MALBON, CRAIG C · 1987 to 2012
$3.9M
Cardiac Optogenetics: A Cell Delivery ApproachR01HL111649 · NHLBI · STATE UNIVERSITY NEW YORK STONY BROOK · PI ENTCHEVA, EMILIA · 2012 to 2016
$2.4M
NHLBI NIH HHS R01 HL111649NHLBI NIH HHS R01HL111649NIDDK NIH HHS T32 DK007521NIDDK NIH HHS T32-DK07521
6 · The paper itself

Abstract

Channelrhodospin-2 (ChR2), a light-sensitive ion channel, and its variants have emerged as new excitatory optogenetic tools not only in neuroscience, but also in other areas, including cardiac electrophysiology. An accurate quantitative model of ChR2 is necessary for in silico prediction of the response to optical stimulation in realistic tissue/organ settings. Such a model can guide the rational design of new ion channel functionality tailored to different cell types/tissues. Focusing on one of the most widely used ChR2 mutants (H134R) with enhanced current, we collected a comprehensive experimental data set of the response of this ion channel to different irradiances and voltages, and used these data to develop a model of ChR2 with empirically-derived voltage- and irradiance- dependence, where parameters were fine-tuned via simulated annealing optimization. This ChR2 model offers: 1) accurate inward rectification in the current-voltage response across irradiances; 2) empirically-derived voltage- and light-dependent kinetics (activation, deactivation and recovery from inactivation); and 3) accurate amplitude and morphology of the response across voltage and irradiance settings. Temperature-scaling factors (Q10) were derived and model kinetics was adjusted to physiological temperatures. Using optical action potential clamp, we experimentally validated model-predicted ChR2 behavior in guinea pig ventricular myocytes. The model was then incorporated in a variety of cardiac myocytes, including human ventricular, atrial and Purkinje cell models. We demonstrate the ability of ChR2 to trigger action potentials in human cardiomyocytes at relatively low light levels, as well as the differential response of these cells to light, with the Purkinje cells being most easily excitable and ventricular cells requiring the highest irradiance at all pulse durations. This new experimentally-validated ChR2 model will facilitate virtual experimentation in neural and cardiac optogenetics at the cell and organ level and provide guidance for the development of in vivo tools.

Indexed as

LightModels, BiologicalChannelrhodopsinsHumansMyocytes, CardiacOptogeneticsPatch-Clamp TechniquesChannelrhodopsins

Identifiers

PMID24068903
PMCPMC3772068

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Registered trials

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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.