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Lysophosphatidic acid (LPA) known as a serum-derived growth factor, is involved in several cell physiological functions in the female reproductive system including: oocyte maturation, in vitro fertilization and embryo implantation by its transmembrane G protein-coupled receptors. The aim of the present study was to examine the effect of LPA on in vitro follicular development of mouse ovarian tissue. Neonatal mouse ovarian tissues were cultured in five different concentrations of LPA (0, 5, 10, 20 and 40 µM). The developmental competence and the function of cultured ovarian tissue were assessed by morphological study using hematoxylin and eosin staining and hormonal analysis. The expression of LPA receptor (LPAR 1-4) genes were analyzed by real-time RT-PCR. The proportion of preantral follicles and the level of E2 hormone were significantly higher in the 20 µM LPA-treated group than those in the other treatment groups. There was a significant difference in the expression of LPAR 1-4 genes in 20 µM LPA treated group in comparison with 0 µM LPA (control group) treated and non-cultured groups. In addition, the expression of LPAR1 gene was higher than other receptor genes in all studied groups. In conclusion supplementation of the media with 20 µM LPA, could improve the survival and developmental potential of follicles and it had positive effects on cell function and stimulation of E2 synthesis in mouse whole ovarian tissues.
Pubmed ID: 29719665
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Software package used for interactive, or batched, statistical analysis in social science, health sciences and marketing. Software platform offers advanced statistical analysis, a library of machine-learning algorithms, text analysis, open-source extensibility, integration with big data and deployment into applications.Versions that were produced by SPSS Inc. before the IBM acquisition (Versions 18 and earlier) would be given origin or publisher of SPSS Inc. in Chicago.
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View all literature mentionsStatistical software for ROC curve analysis. MedCalc performs several statistical tests such as method comparison, method evaluation, reference intervals, and meta-analysis.
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