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Mesenchymal Stem Cell-Cardiomyocyte Interactions under Defined Contact Modes on Laser-Patterned Biochips

Overview of attention for article published in PLOS ONE, February 2013
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Title
Mesenchymal Stem Cell-Cardiomyocyte Interactions under Defined Contact Modes on Laser-Patterned Biochips
Published in
PLOS ONE, February 2013
DOI 10.1371/journal.pone.0056554
Pubmed ID
Authors

Zhen Ma, Huaxiao Yang, Honghai Liu, Meifeng Xu, Raymond B. Runyan, Carol A. Eisenberg, Roger R. Markwald, Thomas K. Borg, Bruce Z. Gao

Abstract

Understanding how stem cells interact with cardiomyocytes is crucial for cell-based therapies to restore the cardiomyocyte loss that occurs during myocardial infarction and other cardiac diseases. It has been thought that functional myocardial repair and regeneration could be regulated by stem cell-cardiomyocyte contact. However, because various contact modes (junction formation, cell fusion, partial cell fusion, and tunneling nanotube formation) occur randomly in a conventional coculture system, the particular regulation corresponding to a specific contact mode could not be analyzed. In this study, we used laser-patterned biochips to define cell-cell contact modes for systematic study of contact-mediated cellular interactions at the single-cell level. The results showed that the biochip design allows defined stem cell-cardiomyocyte contact-mode formation, which can be used to determine specific cellular interactions, including electrical coupling, mechanical coupling, and mitochondria transfer. The biochips will help us gain knowledge of contact-mediated interactions between stem cells and cardiomyocytes, which are fundamental for formulating a strategy to achieve stem cell-based cardiac tissue regeneration.

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The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 24%
Researcher 9 16%
Student > Doctoral Student 6 10%
Student > Bachelor 6 10%
Other 5 9%
Other 13 22%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 22%
Biochemistry, Genetics and Molecular Biology 11 19%
Engineering 9 16%
Medicine and Dentistry 9 16%
Nursing and Health Professions 2 3%
Other 5 9%
Unknown 9 16%