Literature DB >> 19194990

Identification of microRNAs controlling human ovarian cell steroidogenesis via a genome-scale screen.

Alexander V Sirotkin1, Dmitriy Ovcharenko, Roland Grossmann, Marcela Lauková, Milos Mlyncek.   

Abstract

The aim of our studies was to identify miRNAs affecting the release of the major ovarian steroid hormones progestagen, androgen and estrogen by human ovarian cells. The effect of transfection of cultured primary ovarian granulosa cells with 80 different gene constructs encoding human pre-miRNAs on release of progesterone, testosterone and estradiol was evaluated by enzyme immunoassay. In addition, effect of two selected antisense constructs blocking corresponding miRNA on progesterone release was tested. Efficiency of transfection (incorporation transfection reagent) and silencing of marker substances (GAPDH mRNA, GAPDH and CREB-1) were validated by fluorescent microscopy, real-time reverse transcription-PCR analysis and immunocytochemical analysis. Thirty-six out of 80 tested miRNA constructs resulted in inhibition of progesterone release in granulosa cells, and 10 miRNAs promoted progesterone release. Transfected of cells with antisense constructs to two selected miRNAs blocking progesterone release induced increase in progesterone output. Fifty-seven miRNAs tested inhibited testosterone release, and only one miRNA enhanced testosterone output. Fifty-one miRNAs suppressed estradiol release, while none of the miRNAs tested stimulated it. This is the first demonstration that miRNAs can control reproductive functions resulting in enhanced or inhibited release of ovarian progestagen, androgen and estrogen. We hypothesize that such miRNA-mediated effects could be potentially used for regulation of reproductive processes, including fertility, and for treatment of reproductive and other steroid-dependent disorders.

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Year:  2009        PMID: 19194990     DOI: 10.1002/jcp.21689

Source DB:  PubMed          Journal:  J Cell Physiol        ISSN: 0021-9541            Impact factor:   6.384


  71 in total

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Journal:  Mol Endocrinol       Date:  2012-02-02

2.  Identification of several circulating microRNAs from a genome-wide circulating microRNA expression profile as potential biomarkers for impaired glucose metabolism in polycystic ovarian syndrome.

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Journal:  Endocrine       Date:  2016-02-09       Impact factor: 3.633

3.  Transactivation of microRNA-383 by steroidogenic factor-1 promotes estradiol release from mouse ovarian granulosa cells by targeting RBMS1.

Authors:  Mianmian Yin; Mingrong Lü; Guidong Yao; Hui Tian; Jie Lian; Lin Liu; Meng Liang; Yong Wang; Fei Sun
Journal:  Mol Endocrinol       Date:  2012-05-16

4.  MicroRNAs control transcription factor NF-kB (p65) expression in human ovarian cells.

Authors:  Alexander V Sirotkin; Richard Alexa; Gabriela Kišová; Abdel Halim Harrath; Saleh Alwasel; Dmitriy Ovcharenko; Miloš Mlynček
Journal:  Funct Integr Genomics       Date:  2014-11-18       Impact factor: 3.410

Review 5.  Emerging roles for noncoding RNAs in female sex steroids and reproductive disease.

Authors:  Runju Zhang; Victoria Wesevich; Zhaojuan Chen; Dan Zhang; Amanda N Kallen
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Review 6.  Evidence for bisphenol A-induced female infertility: a review (2007-2016).

Authors:  Ayelet Ziv-Gal; Jodi A Flaws
Journal:  Fertil Steril       Date:  2016-07-12       Impact factor: 7.329

7.  Oocyte-somatic cell communication and microRNA function in the ovary.

Authors:  S M Hawkins; M M Matzuk
Journal:  Ann Endocrinol (Paris)       Date:  2010-04-02       Impact factor: 2.478

Review 8.  Regulation of Luteinizing Hormone Receptor mRNA Expression in the Ovary: The Role of miR-122.

Authors:  K M J Menon; Bindu Menon; Thippeswamy Gulappa
Journal:  Vitam Horm       Date:  2018-02-19       Impact factor: 3.421

Review 9.  Non-coding RNA in Ovarian Development and Disease.

Authors:  J Browning Fitzgerald; Jitu George; Lane K Christenson
Journal:  Adv Exp Med Biol       Date:  2016       Impact factor: 2.622

10.  Developmental programming: gestational bisphenol-A treatment alters trajectory of fetal ovarian gene expression.

Authors:  Almudena Veiga-Lopez; Lacey J Luense; Lane K Christenson; Vasantha Padmanabhan
Journal:  Endocrinology       Date:  2013-03-22       Impact factor: 4.736

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