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Variable localization of Toll-like receptors in human fallopian tube epithelial cells

Overview of attention for article published in Clinical and Experimental Reproductive Medicine, March 2018
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Title
Variable localization of Toll-like receptors in human fallopian tube epithelial cells
Published in
Clinical and Experimental Reproductive Medicine, March 2018
DOI 10.5653/cerm.2018.45.1.1
Pubmed ID
Authors

Fatemehsadat Amjadi, Zahra Zandieh, Ensieh Salehi, Reza Jafari, Nasrin Ghasemi, Abbas Aflatoonian, Alireza Fazeli, Reza Aflatoonian

Abstract

To determine the localization, expression, and function of Toll-like receptors (TLRs) in fallopian tube epithelial cells. The localization of TLRs in fallopian tube epithelial cells was investigated by immunostaining. Surprisingly, the intensity of staining was not equal in the secretory and ciliated cells. After primary cell culture of fallopian tube epithelial cells, ring cloning was used to isolate colonies of ciliated epithelial cells, distinct from non-ciliated epithelial cells. The expression of TLRs 1-10 was examined by quantitative real-time polymerase chain reaction, and protein localization was confirmed by immunostaining. The function of the TLRs was determined by interleukin (IL)-6 and IL-8 production in response to TLR2, TLR3, TLR5, TLR7, and TLR9 ligands. Fallopian tube epithelial cells expressed TLRs 1-10 in a cell-type-specific manner. Exposing fallopian tube epithelial cells to TLR2, TLR3, TLR5, TLR7, and TLR9 agonists induced the secretion of proinflammatory cytokines such as IL-6 and IL-8. Our findings suggest that TLR expression in the fallopian tubes is cell-type-specific. According to our results, ciliated cells may play more effective role than non-ciliated cells in the innate immune defense of the fallopian tubes, and in interactions with gametes and embryos.

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The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 22%
Student > Doctoral Student 3 13%
Researcher 3 13%
Librarian 1 4%
Professor 1 4%
Other 3 13%
Unknown 7 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 13%
Medicine and Dentistry 3 13%
Immunology and Microbiology 2 9%
Nursing and Health Professions 1 4%
Agricultural and Biological Sciences 1 4%
Other 3 13%
Unknown 10 43%