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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
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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
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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
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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