| Title |
Three-dimensional co-culture of BM-MSCs and eccrine sweat gland cells in Matrigel promotes transdifferentiation of BM-MSCs
|
|---|---|
| Published in |
Journal of Molecular Histology, July 2015
|
| DOI | 10.1007/s10735-015-9632-5 |
| Pubmed ID | |
| Authors |
Haihong Li, Xuexue Li, Mingjun Zhang, Lu Chen, Bingna Zhang, Shijie Tang, Xiaobing Fu |
| Abstract |
Victims with extensive and deep burns are unable to regenerate eccrine sweat glands. Combining of stem cells and biomimetic ECM to generate cell-based 3D tissues is showing promise for tissue repair and regeneration. We co-cultured BrdU-labeled bone marrow-derived mesenchymal stem cells (BM-MSCs) and eccrine sweat gland cells in Matrigel for 2 weeks in vitro and then evaluated for BM-MSCs differentiation into functional eccrine sweat gland cells by morphological assessment and immunohistochemical double staining for BrdU/pancytokeratin, BrdU/ZO-2, BrdU/E-cadherin, BrdU/desmoglein-2, BrdU/Na(+)-K(+)-ATPase α, BrdU/NHE1 and BrdU/CFTR. Cells formed spheroid-like structures in Matrigel, and BrdU-labeled BM-MSCs were involved in the 3D reconstitution of eccrine sweat gland tissues, and the incorporated BM-MSCs expressed an epithelial cell marker (pancytokeratin), epithelial cell junction proteins (ZO-2, E-cadherin and desmoglein-2) and functional proteins of eccrine sweat glands (Na(+)-K(+)-ATPase α, NHE1 and CFTR). In conclusion, three-dimensional co-culture of BM-MSCs and eccrine sweat gland cells in Matrigel promotes the transdifferentiation of BM-MSCs into potentially functional eccrine sweat gland cells. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 7% |
| Unknown | 14 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 20% |
| Student > Bachelor | 2 | 13% |
| Other | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Professor | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 5 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 20% |
| Psychology | 2 | 13% |
| Agricultural and Biological Sciences | 2 | 13% |
| Business, Management and Accounting | 1 | 7% |
| Nursing and Health Professions | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 5 | 33% |