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A miRNA target network putatively involved in follicular atresia.

ABSTRACT: In a previous microarray study, we identified a subset of micro RNAS (miRNAs), which expression was distinctly higher in atretic than healthy follicles of cattle. In the present study, we investigated the involvement of those miRNAs in granulosa and theca cells during atresia. Reverse Transcription-quantitative Polymerase Chain Reaction (RT-qPCR) confirmed that miR-21-5p/-3p, miR-150, miR-409a, miR-142-5p, miR-378, miR-222, miR-155, and miR-199a-5p were expressed at higher levels in atretic than healthy follicles (9-17 mm, classified based on steroidogenic capacity). All miRNAs except miR-21-3p and miR-378 were expressed at higher levels in theca than granulosa cells. The expression of 13 predicted miRNA targets was determined in follicular cells by RT-qPCR, revealing downregulation of HIF1A, ETS1, JAG1, VEGFA, and MSH2 in either or both cell types during atresia. Based on increases in miRNA levels simultaneous with decreases in target levels in follicular cells, several predicted miRNA target interactions were confirmed that are putatively involved in follicular atresia, namely miR-199a-5p/miR-155-HIF1A in granulosa cells, miR-155/miR-222-ETS1 in theca cells, miR-199a-5p-JAG1 in theca cells, miR-199a-5p/miR-150/miR-378-VEGFA in granulosa and theca cells, and miR-155-MSH2 in theca cells. These results offer novel insight on the involvement of miRNAs in follicle development by identifying a miRNA target network that is putatively involved in follicle atresia.

SUBMITTER: Donadeu FX

PROVIDER: S-EPMC5145806 | biostudies-other | 2017 Jan

REPOSITORIES: biostudies-other

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A miRNA target network putatively involved in follicular atresia.

Donadeu F X FX Mohammed B T BT Ioannidis J J

Domestic animal endocrinology 20160813

In a previous microarray study, we identified a subset of micro RNAS (miRNAs), which expression was distinctly higher in atretic than healthy follicles of cattle. In the present study, we investigated the involvement of those miRNAs in granulosa and theca cells during atresia. Reverse Transcription-quantitative Polymerase Chain Reaction (RT-qPCR) confirmed that miR-21-5p/-3p, miR-150, miR-409a, miR-142-5p, miR-378, miR-222, miR-155, and miR-199a-5p were expressed at higher levels in atretic than ...[more]

PMID: 27664382

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Project description:Folliculogenesis corresponds to the development of follicles leading to either ovulation or degeneration (a process called atresia). Even if atresia involves an apoptosis process, this mechanism is not well understood. The objective of this experiment was : 1) to analyse gene expression in pig granulosa cells of ovarian follicles during atresia using transcriptome analysis with a 9 024 cDNAs microarray, 2) the identification of gene networks involved in pig ovarian follicular atresia. Granulosa cells were isolated from atretic follicles (small, medium or large). Gene expression was analysed by hybridization of nylon cDNA microarrays. The images were quantified using Bzscan software and the data were managed with BASE software. Statistical analysis was performed using R software. Keywords: pig ovary, folliculogenesis, atresia, gene expression, cDNA microarray, bio-analysis Calibrated follicles were isolated from porcine ovaries after ovariectomy (24h ou 96h after the end of progestagen treatment: Regumate 18 days, 20 mg/days). The follicular status was determined by histological criteria using Feulgen coloration (Monget et al. 1993, Besnard et al. 1996). Healthy follicle is characterized by frequent mitosis and pyknosis absence in granulosa cells. Presence of frequent pyknotic bodies in granulosa cells and no mitosis were allocated to atretic cells. Two cross-classified biological factors of pig ovarian follicles are considered : 1) the stage of development of the follicular growth : small (1-2 mm of diameter), medium (3 mm) and large (>5 mm) follicles; 2) the follicular status: healthy (S1) vs beginning (A2) or advanced (A3) atresia. Gene expression was analysed by hybridization of nylon cDNA microarrays (GPL3729). After hybridisation the data analysis using BASE software and statistical analysis was performed to identify regulated genes. For each of three follicle class and three follicle status combination 4 biological replicates were considered. Total 36 membranes were first hybridized with a vector oligonucleotide labeled (T7 probe 5'-taatacgactcactataggga-3') with gamma33P ATP at 42Â°C during 12h to determine the quality of the spotting process. After being washed, the arrays were exposed 6 or 24 hours to radioisotopic-sensitive imaging plates (BAS-2025, Fujifilm, Raytest France S.A.R.L., Courbevoie, France). The imaging plates were scanned thereafter with a phosphor imaging system at a 25 ÃÂµm resolution (BAS-5000, Fujifilm, Raytest France S.A.R.L., Courbevoie, France). Data were acquired with help of a microarray image processing software - AGScan (Cathelin, 2006, http://mulcyber.toulouse.inra.fr/projects/agscan/). Fixed circle segmentation, i.e. a grid process with a fixed spot diameter was applied. The hybridization images were quantified by the extraction of the intensity for each spot. Arrays images and data were stored using BASE software (Saal LH, Troein C, Vallon-Christersson J, Gruvberger S, Borg A, and Peterson C. BioArray Software Environment (BASE): a platform for comprehensive management and analysis of microarray data. Genome Biol 3: SOFTWARE0003, 2002) adapted by Sigenae (http://www.sigenae.org) for analysis and storage of radioactitive microarray data

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A miRNA target network putatively involved in follicular atresia.

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A miRNA target network putatively involved in follicular atresia.

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