Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of rat periovulatory granulosa cells treated with Org 31710 in vitro

ABSTRACT: Transcriptional effects of Org 31710 in rat periovulatory granulosa cells in vitro

ORGANISM(S): Rattus norvegicus

SUBMITTER: Anders Friberg

PROVIDER: E-MEXP-1974 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Transcriptional effects of progesterone receptor antagonist in rat granulosa cells.

Friberg P Anders PA Larsson D G Joakim DG Billig Håkan H

Molecular and cellular endocrinology 20091007 1-2

Progesterone, acting via the nuclear progesterone receptor (PGR), reduces apoptosis in periovulatory granulosa cells, and is a likely mediator of the anti-atretic actions of LH. The underlying mechanisms, however, have not been clearly defined. In this study, we sought to identify progesterone-mediated transcriptional changes involved in apoptosis regulation. Granulosa cells from immature, gonadotropin-primed female rats were treated in vitro with 100 nM of the PGR antagonist Org 31710. Transcri ...[more]

PMID: 19818377

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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).

Dataset Information

Transcription profiling of rat periovulatory granulosa cells treated with Org 31710 in vitro

Publications

Transcriptional effects of progesterone receptor antagonist in rat granulosa cells.

Similar Datasets

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