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ABSTRACT

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

Abstract

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.

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Cite This Article

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



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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