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3D Cell Culturing and Possibilities for Myometrial Tissue Engineering

Overview of attention for article published in Annals of Biomedical Engineering, October 2016
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Title
3D Cell Culturing and Possibilities for Myometrial Tissue Engineering
Published in
Annals of Biomedical Engineering, October 2016
DOI 10.1007/s10439-016-1749-5
Pubmed ID
Authors

Minoo Heidari Kani, Eng-Cheng Chan, Roger C. Young, Trent Butler, Roger Smith, Jonathan W. Paul

Abstract

Research insights into uterine function and the mechanisms of labour have been hindered by the lack of suitable animal and cellular models. The use of traditional culturing methods limits the exploration of complex uterine functions, such as cell interactions, connectivity and contractile behaviour, as it fails to mimic the three-dimensional (3D) nature of uterine cell interactions in vivo. Animal models are an option, however, use of these models is constrained by ethical considerations as well as translational limitations to humans. Evidence indicates that these limitations can be overcome by using 3D culture systems, or 3D Bioprinters, to model the in vivo cytological architecture of the tissue in an in vitro environment. 3D cultured or 3D printed cells can be used to form an artificial tissue. This artificial tissue can not only be used as an appropriate model in which to study cellular function and organisation, but could also be used for regenerative medicine purposes including organ or tissue transplantation, organ donation and obstetric care. The current review describes recent developments in cell culture that can facilitate the development of myometrial 3D structures and tissue engineering applications.

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Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
Spain 1 1%
Unknown 69 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 24%
Student > Ph. D. Student 12 17%
Student > Bachelor 10 14%
Researcher 3 4%
Other 3 4%
Other 8 11%
Unknown 18 25%
Readers by discipline Count As %
Engineering 19 27%
Biochemistry, Genetics and Molecular Biology 10 14%
Medicine and Dentistry 7 10%
Agricultural and Biological Sciences 5 7%
Unspecified 2 3%
Other 7 10%
Unknown 21 30%