Login
Register
Open Access
ABSTRACT
Systems Modeling of Cardiomyocyte Mechanobiology
1 Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA.
2 Departments of Bioengineering and Medicine, University of California San Diego, La Jolla, CA, USA.
* Corresponding Author: Andrew D. McCulloch. Email: amccculloch@ucsd.edu.
Molecular & Cellular Biomechanics 2019, 16(Suppl.1), 1-3. https://doi.org/10.32604/mcb.2019.05693
Download PDFAbstract
In this article, we summarize our systems model of cardiomyocyte mechano-signaling published in PLoS Computational Biology and discuss new approaches to extending these models to predict cardiac myocyte gene expression in response to stretch.Keywords
Network regulators, mechanotransduction, cardiac muscle.
Cite This Article
APA Style
M. Tan, P., S. Buchholz, K., Cao, S., Aboelkassem, Y., H. Omens, J. et al. (2019). Systems Modeling of Cardiomyocyte Mechanobiology . Molecular & Cellular Biomechanics, 16(Suppl.1), 1–3. https://doi.org/10.32604/mcb.2019.05693
Vancouver Style
M. Tan P, S. Buchholz K, Cao S, Aboelkassem Y, H. Omens J, D. McCulloch A, et al. Systems Modeling of Cardiomyocyte Mechanobiology . Mol Cellular Biomechanics. 2019;16(Suppl.1):1–3. https://doi.org/10.32604/mcb.2019.05693
IEEE Style
P. M. Tan et al., “Systems Modeling of Cardiomyocyte Mechanobiology ,” Mol. Cellular Biomechanics, vol. 16, no. Suppl.1, pp. 1–3, 2019. https://doi.org/10.32604/mcb.2019.05693
Copyright © 2019 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Downloads
Citation Tools
