Dataset Information

Dynamics of the Transcriptome in the Primate Ovulatory Follicle

ABSTRACT: Experiments were designed to evaluate changes in the transcriptome (mRNA levels) in the ovulatory, luteinizing follicle of rhesus monkeys, using a controlled ovulation (COv) model that permits analysis of the naturally selected, dominant follicle at specific intervals (0, 12, 24, 36 hours) after exposure to an ovulatory (exogenous hCG) stimulus during the menstrual cycle. Total RNA was prepared from individual follicles (n=4-8/timepoint), with an aliquot used for microarray analysis (AffymetrixTM Rhesus Macaque Genome Array) and the remainder applied to quantitative real-time PCR (q-PCR) assays. The microarray data from individual samples distinctly clustered according to timepoints, and ovulated follicles displayed markedly different expression patterns from unruptured follicles at 36 h. Between timepoint comparisons revealed profound changes in mRNA expression profiles. The dynamic pattern of mRNA expression for steroidogenic enzymes (CYP17A, CYP19A, HSD3B2, HSD11B1, HSD11B2), StAR, and gonadotropin receptors (LHCGR, FSHR) as determined by microarray analysis correlated precisely with those from blinded q-PCR assays. Patterns of mRNA expression for EGF-like factors (AREG, EREG) and processes (HAS2, TNFAIP6) implicated in cumulus-oocyte maturation/expansion were also comparable between assays. Thus, several mRNAs displayed the expected expression pattern for purported theca (e.g., CYP17A, AREG), granulosa (CYP19A, FSHR), cumulus (HAS2, TNFAIP6) cell, and surface epithelium (HSD11B) related genes in the rodent/primate preovulatory follicle. This database will be of great value in analyzing molecular and cellular pathways associated with periovulatory events in the primate follicle (e.g. follicle rupture, luteinization, inflammatory response, and angiogenesis), and for identifying novel gene products controlling mammalian fertility. Keywords: time course

ORGANISM(S): Macaca mulatta

PROVIDER: GSE22776 | GEO | 2011/02/15

SECONDARY ACCESSION(S): PRJNA128081

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Experiments were designed to evaluate changes in the transcriptome (mRNA levels) in the ovulatory, luteinizing follicle of rhesus monkeys, using a controlled ovulation (COv) model that permits analysis of the naturally selected, dominant follicle at specific intervals (0, 12, 24, 36 hours) after exposure to an ovulatory (exogenous hCG) stimulus during the menstrual cycle. Total RNA was prepared from individual follicles (n=4-8/timepoint), with an aliquot used for microarray analysis (AffymetrixTM Rhesus Macaque Genome Array) and the remainder applied to quantitative real-time PCR (q-PCR) assays. The microarray data from individual samples distinctly clustered according to timepoints, and ovulated follicles displayed markedly different expression patterns from unruptured follicles at 36 h. Between timepoint comparisons revealed profound changes in mRNA expression profiles. The dynamic pattern of mRNA expression for steroidogenic enzymes (CYP17A, CYP19A, HSD3B2, HSD11B1, HSD11B2), StAR, and gonadotropin receptors (LHCGR, FSHR) as determined by microarray analysis correlated precisely with those from blinded q-PCR assays. Patterns of mRNA expression for EGF-like factors (AREG, EREG) and processes (HAS2, TNFAIP6) implicated in cumulus-oocyte maturation/expansion were also comparable between assays. Thus, several mRNAs displayed the expected expression pattern for purported theca (e.g., CYP17A, AREG), granulosa (CYP19A, FSHR), cumulus (HAS2, TNFAIP6) cell, and surface epithelium (HSD11B) related genes in the rodent/primate preovulatory follicle. This database will be of great value in analyzing molecular and cellular pathways associated with periovulatory events in the primate follicle (e.g. follicle rupture, luteinization, inflammatory response, and angiogenesis), and for identifying novel gene products controlling mammalian fertility. Keywords: time course Total RNA was prepared from individual follicles (n=4-8/timepoint). Dominant follicles were selected specific intervals (0, 12, 24, 36 hours) after exposure to an ovulatory (exogenous hCG) stimulus during the menstrual cycle.

Project description:Background: The gonadotropin-induced resumption of oocyte meiosis in preovulatory follicles is preceded by expression of epidermal growth factor (EGF)-like peptides, amphiregulin (AREG) and epiregulin (EREG), in mural granulosa and cumulus cells. Both the gonadotropins and the EGF-like peptides possess the capacity to stimulate resumption of oocyte meiosis in vitro via activation of a broad signaling network in cumulus cells. To better understand the rapid genomic actions of gonadotropins (FSH) and EGF-like peptides, we analyzed transcriptomes of cumulus cells at 3 h after their stimulation. Methods: We hybridized aRNA from cumulus cells to a pig oligonucleotide microarray and compared the transcriptomes of FSH- and AREG/EREG-stimulated cumulus cells with untreated control cells and vice versa. The identified over- and underexpressed genes were subjected to functional genomic analysis according to their molecular and cellular functions. The expression pattern of 50 selected genes with a known or potential function in ovarian development was verified by real-time qRT-PCR. Results: Both FSH and AREG/EREG increased the expression of genes associated with regulation of cell proliferation, cell migration, blood coagulation and extracellular matrix remodeling. FSH alone induced the expression of genes involved in inflammatory response and in the response to reactive oxygen species. Moreover, FSH stimulated the expression of genes closely related to some ovulatory events either exclusively or significantly more than AREG/EREG (AREG, ADAMTS1, HAS2, TNFAIP6, PLAUR, PLAT, and HSD17B7). In contrast to AREG/EREG, FSH also increased the expression of genes coding for key transcription factors (CEBPB, FOS, ID1/3, and NR5A2), which may contribute to the differing expression profiles of FSH- and AREG/EREG-treated cumulus cells. Conclusions: The impact of FSH on cumulus cell gene transcription was higher than the impact of EGF-like factors in terms of the number of cell functions affected as well as the number of over- and underexpressed genes. Both FSH and EGF-like factors overexpressed genes involved in the post-ovulatory switch in steroidogenesis and tissue remodelling. However, FSH was remarkably more efficient in the up-regulation of several specific genes essential for ovulation of matured oocytes and also genes that been reported to play an important role in maturation of cumulus-enclosed oocytes in vitro.

Project description:Purpose: Preovualtory follicle diameter influences embryo quality in beef cattle that rely on a gonadotropin releasing hormone (GnRH) injection to induce the preovualtory gonadotropin surge and subsequent ovualtion. The goals of this study are to compare transcriptome profiles of pools of four oocytes or associated cumulus cells collected from small (≤11.7mm) and large follicles (≥12.7 mm) exposed to a GnRH-induced gonadotropin surge and follicles (11.7-14.0 mm) exposed to an endogenous gonadotropin surge (spontaneous follicles). Methods: Oocyte and cumulus cell mRNA profiles of pools of four oocytes or associated cumulus cells collected from small (≤11.7mm) and large follicles (≥12.7 mm) exposed to a GnRH-induced gonadotropin surge or spontaneous follicles (11.7-14.0 mm) which were exposed to an endogenous gonadotropin surge were generated by deep sequencing (n=6 small follicle oocyte, 6 small follicle cumulus, 6 large follicle oocyte, 6 large follicle cumulus, 4 spontaneous follcile oocyte, and 5 spontaneous follicle cumulus pools), using Illumina HiSeq 2000 . The sequence reads that passed quality filters were aligned to the Bos taurus reference genome UMD3.1 using Hisat2mapper. FeatureCounts was used to quantify transcript abundance in each library using Bos taurus gene annotation from Ensembl. Differences in gene transcript expression were then analyzed amoung oocyte or cumulus cell follcile classifications using the packages edgeR and DESeq2 in R software. Results: We mapped an average of 30 million sequence reads per sample to the Bos taurus reference genome UMD3.1 and identified 69, 94, and 83 differentially expressed gene transcripts (DEG) among oocyte libraries from small versus large, small versus spontaneous, and large versus spontaneous follicle classifications, respectively. We also identified 128, 98, and 80 DEG among cumulus cell libraries from small versus large, small versus spontaneous, and large versus spontaneous follicles, respectively. Conclusions: Our study represents detailed analysis of RNA-sequencing data generated from in vivo produced cumulus and oocyte samples collected from preovualtory follicles of varied physiological status after exposure to an endogenous or exogenously stimulated gonadotropin surge. The results of our study highlight key differences in the transcriptome of samples from small, large, or spontaneous follicles and provide insight into the reduced embryo quality observed when small follicles undergo a GnRH induced gonadotropin surge.

Dataset Information

Dynamics of the Transcriptome in the Primate Ovulatory Follicle

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets