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Expression and localisation of c-kit and KITL in the adult human ovary

Overview of attention for article published in Journal of Ovarian Research, May 2015
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Title
Expression and localisation of c-kit and KITL in the adult human ovary
Published in
Journal of Ovarian Research, May 2015
DOI 10.1186/s13048-015-0159-x
Pubmed ID
Authors

Astrud R Tuck, Rebecca L Robker, Robert J Norman, Wayne D Tilley, Theresa E Hickey

Abstract

The c-kit/kit ligand (KITL) signalling axis is an essential component of ovarian folliculogenesis in mammals, but little is known about expression and localisation of its key components in the ovaries of reproductive age women. This study aimed to characterise mRNA expression of c-kit and KITL isoforms and the localisation of c-kit and KITL proteins in adult human premenopausal ovaries. This study utilised granulosa cells obtained from the preovulatory follicles of women undergoing assisted reproduction, pieces of ovarian tissue obtained from premenopausal women undergoing gynaecological surgeries and archival paraffin-embedded premenopausal ovarian tissues. Methodology included PCR for gene expression and Western blot or immunohistochemistry for protein expression. Both c-kit mRNA isoforms, known as GNNK+ and GNNK-, were detected in human ovarian cortex, while KITL protein isoforms (KITL1 and KITL2) were present in ovarian cortex and human granulosa cells. Immunohistochemistry showed expression of KITL and c-kit protein in multiple cell types within follicles throughout development, from primordial follicles to large antral follicles, in addition to atretic follicles. Oocytes of all follicle stages expressed c-kit protein exclusively. Interestingly, unlike animal models, expression of both proteins displayed a less cell-type specific distribution with immunostaining present in granulosa, theca and stromal cells, suggesting that autocrine signalling occurs within the human ovary. The results of this study indicate that c-kit/KITL signalling also occurs in the human ovary, as established in various animal models, and may involve previously unknown autocrine signalling.

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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 11 31%
Student > Bachelor 5 14%
Student > Master 4 11%
Student > Doctoral Student 2 6%
Professor 1 3%
Other 2 6%
Unknown 10 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 20%
Medicine and Dentistry 7 20%
Agricultural and Biological Sciences 4 11%
Immunology and Microbiology 3 9%
Environmental Science 1 3%
Other 3 9%
Unknown 10 29%