Open Access
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.
Keywords
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