Growth modelling promoting mechanical stimulation of smooth muscle cells of porcine tubular organs in a fibrin-PVDF scaffold. Dương, M. T., Seifarth, V., Artmann, A., Artmann, G. M., & Staat, M. In Artmann, G. M., Artmann, A., Zhubanova, A. A., & Digel, I., editors, Biological, Physical and Technical Basics of Cell Engineering, pages 209–232. Springer Singapore, Singapore, 2018. ZSCC: NoCitationData[s1]
Growth modelling promoting mechanical stimulation of smooth muscle cells of porcine tubular organs in a fibrin-PVDF scaffold [link]Paper  doi  abstract   bibtex   
Reconstructive surgery and tissue replacements like ureters or bladders reconstruction have been recently studied, taking into account growth and remodelling of cells since living cells are capable of growing, adapting, remodelling or degrading and restoring in order to deform and respond to stimuli. Hence, shapes of ureters or bladders and their microstructure change during growth and these changes strongly depend on external stimuli such as training. We present the mechanical stimulation of smooth muscle cells in a tubular fibrin-PVDFA scaffold and the modelling of the growth of tissue by stimuli. To this end, mechanotransduction was performed with a kyphoplasty balloon catheter that was guided through the lumen of the tubular structure. The bursting pressure was examined to compare the stability of the incubated tissue constructs. The results showed the significant changes on tissues with training by increasing the burst pressure as a characteristic mechanical property and the smooth muscle cells were more oriented with uniformly higher density. Besides, the computational growth models also exhibited the accurate tendencies of growth of the cells under different external stimuli. Such models may lead to design standards for the better layered tissue structure in reconstructing of tubular organs characterized as composite materials such as intestines, ureters and arteries.
@incollection{duong_growth_2018,
	address = {Singapore},
	title = {Growth modelling promoting mechanical stimulation of smooth muscle cells of porcine tubular organs in a fibrin-{PVDF} scaffold},
	copyright = {All rights reserved},
	isbn = {978-981-10-7903-0},
	url = {http://link.springer.com/10.1007/978-981-10-7904-7_9},
	abstract = {Reconstructive surgery and tissue replacements like ureters or bladders reconstruction have been recently studied, taking into account growth and remodelling of cells since living cells are capable of growing, adapting, remodelling or degrading and restoring in order to deform and respond to stimuli. Hence, shapes of ureters or bladders and their microstructure change during growth and these changes strongly depend on external stimuli such as training. We present the mechanical stimulation of smooth muscle cells in a tubular fibrin-PVDFA scaffold and the modelling of the growth of tissue by stimuli. To this end, mechanotransduction was performed with a kyphoplasty balloon catheter that was guided through the lumen of the tubular structure. The bursting pressure was examined to compare the stability of the incubated tissue constructs. The results showed the significant changes on tissues with training by increasing the burst pressure as a characteristic mechanical property and the smooth muscle cells were more oriented with uniformly higher density. Besides, the computational growth models also exhibited the accurate tendencies of growth of the cells under different external stimuli. Such models may lead to design standards for the better layered tissue structure in reconstructing of tubular organs characterized as composite materials such as intestines, ureters and arteries.},
	booktitle = {Biological, {Physical} and {Technical} {Basics} of {Cell} {Engineering}},
	publisher = {Springer Singapore},
	author = {Dương, Minh Tuấn and Seifarth, Volker and Artmann, Ayşegül and Artmann, Gerhard M. and Staat, Manfred},
	editor = {Artmann, Gerhard M. and Artmann, Aysegül and Zhubanova, Azhar A. and Digel, Ilya},
	year = {2018},
	doi = {10.1007/978-981-10-7904-7_9},
	note = {ZSCC: NoCitationData[s1] },
	pages = {209--232},
}

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