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Prospective biomarkers of stem cells of human endometrium and fallopian tube compared with bone marrow

Overview of attention for article published in Cell and Tissue Research, March 2013
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Title
Prospective biomarkers of stem cells of human endometrium and fallopian tube compared with bone marrow
Published in
Cell and Tissue Research, March 2013
DOI 10.1007/s00441-013-1582-1
Pubmed ID
Authors

S. Indumathi, R. Harikrishnan, J. S. Rajkumar, D. Sudarsanam, M. Dhanasekaran

Abstract

The applicability of stem cells from the human endometrium and fallopian tube for regeneration is a fascinating area of research because of the role of these cells in dynamic tissue remodelling and their cyclical regenerative property during the menstrual cycle and pregnancy. Nevertheless, studies on the identity of biomarkers of these stem cells are limited and need to be extended. The present study has aimed at exploring the tissue-specific biomarkers of stem cells derived from the human endometrium and fallopian tube compared with those from bone marrow. Cells were isolated from human endometrium and fallopian tubes and characterized for biomarkers, including CD34, CD133, CD117, CD90, CD105, CD73, nestin, CD29, CD44, CD31, CD54, CD166, CD106, CD49d, CD45, ABCG2, SSEA4, OCT4, SOX2, CD140b and CD146, by flowcytometry. Both endometrium and fallopian tube sources exhibited positivity over a wide range of markers, as did bone marrow. In particular, they exhibited pluripotency, perivascular and mesenchymal stem cell markers and cell adhesion molecules, thereby suggesting their relevance in tissue repair and regeneration. Overall, the results of this study provide evidence for the presence of stem cells in the human endometrium and fallopian tube, which could thus represent additional stem cell sources for regenerative medicine.

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Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 20%
Student > Master 6 17%
Researcher 4 11%
Student > Bachelor 3 9%
Professor 2 6%
Other 5 14%
Unknown 8 23%
Readers by discipline Count As %
Medicine and Dentistry 8 23%
Agricultural and Biological Sciences 7 20%
Biochemistry, Genetics and Molecular Biology 5 14%
Environmental Science 1 3%
Veterinary Science and Veterinary Medicine 1 3%
Other 3 9%
Unknown 10 29%