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Melatonin signaling pathways implicated in metabolic processes in human granulosa cells (KGN)

ABSTRACT: Female reproduction depends on the metabolic status especially during the period of folliculogenesis. Even though it is believed that melatonin can improve oocyte competence, there is still limited knowledge of how it can modulate metabolic processes during folliculogenesis, and of which signaling pathways are involved in regulating gene expression. To investigate the effects of melatonin on metabolic signals during the antral stage of follicular development, human granulosa-like tumour cells (KGN) were treated with melatonin or forskolin and gene expression was analyzed with RNA seq technology. Following appropriate normalization and the application of a fold change cut-off of 1.5 (FC 1.5, P ≤ 0.05), 1,009 and 922 genes were identified as differentially expressed in response to melatonin and forskolin, respectively. Analysis of major upstream regulators suggested that melatonin may activate PKB/mTOR signaling pathways to program the metabolism of KGN cells to support slower growth and differentiation and to prevent follicular atresia. Similarly, PKA activation through stimulation of cAMP synthesis with FSK seemed to exert the same effects as melatonin in reducing follicular growth and regulating differentiation. This study suggests that it is possible that melatonin acts through PKA and PKB simultaneously in human granulosa cells to prevent follicular atresia and early luteinisation at the antral stage.

ORGANISM(S): Homo sapiens

PROVIDER: GSE189124 | GEO | 2022/03/09

REPOSITORIES: GEO

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Project description:The oocyteâs capacity to complete maturation, to succeed fertilization and to reach the blastocyst stage is what defines the oocyteâs competence. The oocyte acquires this competence working closely with somatic cells of the follicle. Cumulus and granulosa cells provided support for the oocyteâs development and conversely the oocyte influence follicular cell growth and differentiation. Existing studies support the idea that follicular-stimulated hormone and luteinizing hormone play an essential role in oocyte competence acquisition through protein kinase A (PKA) and protein kinase C (PKC) signalling in granulosa cells. Therefore, human-like granulosa cells (KGN) were treated with forskolin 10 Î¼M and phorbol 12-myristate 13-acetate 0.1 Î¼M for 24 hours in order to process a transcriptomic analysis of differentially express genes between treatment. Over 2000 genes were founded to be differentially express at cut-off fold change of 1.5 and a p-value of 0.05. Five major upstreams, EGF, TGFB1, VEGF, FGF2 and HGF were founded to play an important role in competence acquisition thought PKA and PKC signalling. Differentially expressed targeted genes of both signalling pathways were classified in seven major ovarian functions such as PTGS2, IL8 and IL6 in inflammation, STAR, CYP11A1, CYP19A1 in steroidogenesis, VEGFC, VEGFA, CXCR4 in angiogenesis, AREG, EGFR, SPRY2 in differentiation, BAX, BCL2L12, CASP1 in apoptosis, CCND1, CCNB1, CCNB2 in division and MMP1, MMP9, TIMP1 in ovulation. Taken together, the results of this study suggest that PKA and PKC signalling potentiate their effects in some functions such as inflammation and apoptosis while some others are more specific to one or the other protein kinase like differentiation, ovulation and angiogenesis that are thought to be more PKC-dependent in human granulosa cells. 8 samples were analysed, 4 controls compared to 4 Phorbol 12-myristate 13-acetate treatments (total of 4 replicates).

Project description:In mammals, ovarian folliculogenesis leading to the ovulation of completely mature oocytes is a long and complex process that is regulated at different levels. The mechanisms that underlie the selection of one or several dominant follicles as well as the regulation of the number of ovulating follicles are largely unknown. In this project, we proposed to study the genetic determinism that underlies the difference of ovulation rate between species (cattle and pigs), by studying two processes that exist in ovary: follicular development and follicular atresia. Towards this purpose, we made a comparative transcriptomics study on granulosa cells. Pig and cattle comparison was achieved by a transcriptome analysis with a 9K nylon pig microarray (GPL3729) on granulosa cells from either small healthy antral follicles (SHF), small atretic follicles (SAF) or large healthy antral follicles (LHF). The images were quantified using AGscan software and the data were managed with BASE software. Statistical analysis was performed using R software. Transcriptomic analysis on pig and cattle evidenced 997 differentially expressed genes (FDR1%) between the three follicle classes and/or the two species. This research project which implicated three laboratories from INRA: "Laboratoire de Genetique Cellulaire" (UMR444-LGC) , "Station d'Amelioration Genetique des Animaux" (UR 631-SAGA) and "Physiologie des Comportements et de la reproduction" (UMR 85-PRC) benefited from both European funding through SABRE project and French ANR funding through GenOvul project. Keywords: transcriptome analysis, pig, cattle, ovary, folliculogenesis, gene expression, cDNA microarray The data were obtained from 34 RNA samples: 10 small healthy follicles samples (6 for sows and 4 for cows), 13 small atretic follicles samples (7 for sows and 6 for cows) and 11 samples for large healthy follicles (6 for sows and 5 for cows). They were hybridized on a 9K pig nylon microarray (GPL3729).

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Melatonin signaling pathways implicated in metabolic processes in human granulosa cells (KGN)

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