Literature DB >> 26019261

Novel Targets for the Transcription Factors MEF2 in MA-10 Leydig Cells.

Mickaël Di-Luoffo1, Caroline Daems1, Francis Bergeron1, Jacques J Tremblay2.   

Abstract

Testosterone production by Leydig cells is a tightly regulated process requiring synchronized expression of several steroidogenic genes by numerous transcription factors. Myocyte enhancer factor 2 (MEF2) are transcription factors recently identified in somatic cells of the male gonad. In other tissues, MEF2 factors are essential regulators of organogenesis and cell differentiation. So far in the testis, MEF2 factors were found to regulate Leydig cell steroidogenesis by controlling Nr4a1 and Star gene expression. To expand our understanding of the role of MEF2 in Leydig cells, we performed microarray analyses of MEF2-depleted MA-10 Leydig cells, and the results were analyzed using Partek and Ingenuity Pathway Analysis software. Several genes were differentially expressed in MEF2-depleted Leydig cells, and 16 were validated by quantitative RT-PCR. A large number of these genes are known to be involved in fertility, gonad morphology, and steroidogenesis. These include Ahr, Bmal1, Cyp1b1, Hsd3b1, Hsd17b7, Map2k1, Nr0b2, Pde8a, Por, Smad4, Star, and Tsc22d3, which were all downregulated in the absence of MEF2. In silico analyses revealed the presence of MEF2-binding sites within the first 2 kb upstream of the transcription start site of the Por, Bmal1, and Nr0b2 promoters, suggesting direct regulation by MEF2. Using transient transfections in MA-10 Leydig cells, small interfering RNA knockdown, and a MEF2-Engrailed dominant negative, we found that MEF2 activates the Por, Bmal1, and Nr0b2 promoters and that this requires an intact MEF2 element. Our results identify novel target genes for MEF2 and define MEF2 as an important regulator of Leydig cell function and male reproduction.
© 2015 by the Society for the Study of Reproduction, Inc.

Entities:  

Keywords:  Leydig cells; fertility; gonad morphology; microarray; myocyte enhancer factor 2; steroidogenesis

Mesh:

Substances:

Year:  2015        PMID: 26019261      PMCID: PMC4706312          DOI: 10.1095/biolreprod.114.127761

Source DB:  PubMed          Journal:  Biol Reprod        ISSN: 0006-3363            Impact factor:   4.285


  57 in total

1.  2,3,7,8-Tetrachlorodibenzo-p-dioxin inhibits steroidogenesis in the rat testis by inhibiting the mobilization of cholesterol to cytochrome P450scc.

Authors:  R W Moore; C R Jefcoate; R E Peterson
Journal:  Toxicol Appl Pharmacol       Date:  1991-06-01       Impact factor: 4.219

2.  A novel adrenocorticotropin-inducible cytochrome P450 from rat adrenal microsomes catalyzes polycyclic aromatic hydrocarbon metabolism.

Authors:  S Otto; C Marcus; C Pidgeon; C Jefcoate
Journal:  Endocrinology       Date:  1991-08       Impact factor: 4.736

3.  Follicular cells acquire sertoli cell characteristics after oocyte loss.

Authors:  Céline J Guigon; Noëlline Coudouel; Séverine Mazaud-Guittot; Maguelone G Forest; Solange Magre
Journal:  Endocrinology       Date:  2005-04-07       Impact factor: 4.736

4.  cAMP-specific phosphodiesterases 8A and 8B, essential regulators of Leydig cell steroidogenesis.

Authors:  Masami Shimizu-Albergine; Li-Chun Lisa Tsai; Enrico Patrucco; Joseph A Beavo
Journal:  Mol Pharmacol       Date:  2012-01-09       Impact factor: 4.436

5.  2,3,7,8-Tetrachlorodibenzo-p-dioxin reduces the number, size, and organelle content of Leydig cells in adult rat testes.

Authors:  L Johnson; C E Wilker; S H Safe; B Scott; D D Dean; P H White
Journal:  Toxicology       Date:  1994-03-25       Impact factor: 4.221

6.  Regulation of gonadotropin receptors and gonadotropin responses in a clonal strain of Leydig tumor cells by epidermal growth factor.

Authors:  M Ascoli
Journal:  J Biol Chem       Date:  1981-01-10       Impact factor: 5.157

7.  Depression of rat testicular 17-hydroxylase and 17,20-lyase after administration of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD).

Authors:  C A Mebus; V R Reddy; W N Piper
Journal:  Biochem Pharmacol       Date:  1987-03-01       Impact factor: 5.858

8.  Identification of the Ah receptor nuclear translocator protein (Arnt) as a component of the DNA binding form of the Ah receptor.

Authors:  H Reyes; S Reisz-Porszasz; O Hankinson
Journal:  Science       Date:  1992-05-22       Impact factor: 47.728

9.  A Mef2 gene that generates a muscle-specific isoform via alternative mRNA splicing.

Authors:  J F Martin; J M Miano; C M Hustad; N G Copeland; N A Jenkins; E N Olson
Journal:  Mol Cell Biol       Date:  1994-03       Impact factor: 4.272

10.  Congenital adrenal hyperplasia caused by mutant P450 oxidoreductase and human androgen synthesis: analytical study.

Authors:  Wiebke Arlt; Elizabeth A Walker; Nicole Draper; Hannah E Ivison; Jon P Ride; Fabian Hammer; Susan M Chalder; Maria Borucka-Mankiewicz; Berthold P Hauffa; Ewa M Malunowicz; Paul M Stewart; Cedric H L Shackleton
Journal:  Lancet       Date:  2004-06-26       Impact factor: 79.321

View more
  5 in total

1.  Analysis of specific RNA in cultured cells through quantitative integration of q-PCR and N-SIM single cell FISH images: Application to hormonal stimulation of StAR transcription.

Authors:  Jinwoo Lee; Yee Hoon Foong; Ibrahim Musaitif; Tiegang Tong; Colin Jefcoate
Journal:  Mol Cell Endocrinol       Date:  2016-04-14       Impact factor: 4.102

Review 2.  Transcription Factors in the Regulation of Leydig Cell Gene Expression and Function.

Authors:  Karine de Mattos; Robert S Viger; Jacques J Tremblay
Journal:  Front Endocrinol (Lausanne)       Date:  2022-04-07       Impact factor: 6.055

3.  Testis Transcriptome Modulation in Klinefelter Patients with Hypospermatogenesis.

Authors:  Marco D'Aurora; Alberto Ferlin; Andrea Garolla; Sara Franchi; Laura D'Onofrio; Oriana Trubiani; Giandomenico Palka; Carlo Foresta; Liborio Stuppia; Valentina Gatta
Journal:  Sci Rep       Date:  2017-03-31       Impact factor: 4.379

4.  Transcriptomic profiling identifies novel mechanisms of transcriptional regulation of the cytochrome P450 (Cyp)3a11 gene.

Authors:  Guncha Taneja; Suman Maity; Weiwu Jiang; Bhagavatula Moorthy; Cristian Coarfa; Romi Ghose
Journal:  Sci Rep       Date:  2019-04-30       Impact factor: 4.379

5.  Machine Learning-Based Co-Expression Network Analysis Unravels Potential Fertility-Related Genes in Beef Cows.

Authors:  Wellison J S Diniz; Priyanka Banerjee; Soren P Rodning; Paul W Dyce
Journal:  Animals (Basel)       Date:  2022-10-09       Impact factor: 3.231

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.