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Systems Modeling of Cardiomyocyte Mechanobiology

Philip M. Tan1, Kyle S. Buchholz2, Shulin Cao2, Yasser Aboelkassem2, Jeffrey H. Omens2, Andrew D. McCulloch2,*, Jeffrey J. Saucerman1

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


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.


Cite This Article

APA Style
Tan, P.M., Buchholz, K.S., Cao, S., Aboelkassem, Y., Omens, J.H. 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
Tan PM, Buchholz KS, Cao S, Aboelkassem Y, Omens JH, McCulloch AD, 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

cc 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.
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