Modeling an Excitable Biosynthetic Tissue with Inherent Variability for Paired Computational-Experimental Studies
Author
Abstract
Suggested Citation
DOI: 10.1371/journal.pcbi.1005342
Download full text from publisher
References listed on IDEAS
- Robert D. Kirkton & Nenad Bursac, 2011. "Engineering biosynthetic excitable tissues from unexcitable cells for electrophysiological and cell therapy studies," Nature Communications, Nature, vol. 2(1), pages 1-9, September.
- Jaspreet Kaur & Anders Nygren & Edward J Vigmond, 2014. "Fitting Membrane Resistance along with Action Potential Shape in Cardiac Myocytes Improves Convergence: Application of a Multi-Objective Parallel Genetic Algorithm," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-10, September.
- John Walmsley & Jose F Rodriguez & Gary R Mirams & Kevin Burrage & Igor R Efimov & Blanca Rodriguez, 2013. "mRNA Expression Levels in Failing Human Hearts Predict Cellular Electrophysiological Remodeling: A Population-Based Simulation Study," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-11, February.
- Hung X. Nguyen & Robert D. Kirkton & Nenad Bursac, 2016. "Engineering prokaryotic channels for control of mammalian tissue excitability," Nature Communications, Nature, vol. 7(1), pages 1-11, December.
- Willemijn Groenendaal & Francis A Ortega & Armen R Kherlopian & Andrew C Zygmunt & Trine Krogh-Madsen & David J Christini, 2015. "Cell-Specific Cardiac Electrophysiology Models," PLOS Computational Biology, Public Library of Science, vol. 11(4), pages 1-22, April.
- Carlos Sánchez & Alfonso Bueno-Orovio & Erich Wettwer & Simone Loose & Jana Simon & Ursula Ravens & Esther Pueyo & Blanca Rodriguez, 2014. "Inter-Subject Variability in Human Atrial Action Potential in Sinus Rhythm versus Chronic Atrial Fibrillation," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-14, August.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Violeta Monasterio & Joel Castro-Mur & Jesús Carro, 2018. "DENIS: Solving cardiac electrophysiological simulations with volunteer computing," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-12, October.
- Mao Mao & Xiaoli Qu & Yabo Zhang & Bingsong Gu & Chen Li & Rongzhi Liu & Xiao Li & Hui Zhu & Jiankang He & Dichen Li, 2023. "Leaf-venation-directed cellular alignment for macroscale cardiac constructs with tissue-like functionalities," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
- Jordan Elliott & Maria Kristina Belen & Luca Mainardi & Josè Felix Rodriguez Matas, 2021. "A Comparison of Regional Classification Strategies Implemented for the Population Based Approach to Modelling Atrial Fibrillation," Mathematics, MDPI, vol. 9(14), pages 1-21, July.
- Dmitrii Smirnov & Andrey Pikunov & Roman Syunyaev & Ruslan Deviatiiarov & Oleg Gusev & Kedar Aras & Anna Gams & Aaron Koppel & Igor R Efimov, 2020. "Genetic algorithm-based personalized models of human cardiac action potential," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-31, May.
- Maria T Mora & Juan F Gomez & Gregory Morley & Jose M Ferrero & Beatriz Trenor, 2019. "Mechanistic investigation of Ca2+ alternans in human heart failure and its modulation by fibroblasts," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-19, June.
- Gustavo Montes Novaes & Enrique Alvarez-Lacalle & Sergio Alonso Muñoz & Rodrigo Weber dos Santos, 2022. "An ensemble of parameters from a robust Markov-based model reproduces L-type calcium currents from different human cardiac myocytes," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-26, April.
- Willemijn Groenendaal & Francis A Ortega & Armen R Kherlopian & Andrew C Zygmunt & Trine Krogh-Madsen & David J Christini, 2015. "Cell-Specific Cardiac Electrophysiology Models," PLOS Computational Biology, Public Library of Science, vol. 11(4), pages 1-22, April.
- Sucheta Sehgal & Nitish D Patel & Avinash Malik & Partha S Roop & Mark L Trew, 2019. "Resonant model—A new paradigm for modeling an action potential of biological cells," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-25, May.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pcbi00:1005342. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ploscompbiol (email available below). General contact details of provider: https://journals.plos.org/ploscompbiol/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.