Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Alterations in gonadotropin, apoptotic and metabolic pathways in granulosa cells warrant superior fertility of the Dummerstorf high fertility mouse line 1 (FL1)

ABSTRACT: During the last decades, several mouse models provided insights into the regulation of folliculogenesis. In contrast to the commonly used transgenic or knockout mouse models, the Dummerstorf high-fertility mouse line 1 is a worldwide unique selection experiment for increased female reproductive performance and high fertility. These mice are characterized by various alterations on endocrine and molecular levels, which have the potential to improve folliculogenesis and therefore lead to increased ovulation rates. To get insights into the cellular mechanisms leading to the high fertility phenotype we used granulosa cells isolated from antral follicles for mRNA sequencing and measured hormones and growth factors associated with follicular development. Our results indicate that the crosstalk between different intracellular signaling pathways in the granulosa cells are improved, follicular atresia in FL1 might be decreased due to enhanced granulosa cell survival and by improving the efficiency of intracellular signaling, glucose metabolism and signal transduction, FL1 mice have several advantages in reproductive performance and therefore increased the ovulation rate without health issues.

ORGANISM(S): Mus musculus

PROVIDER: GSE209918 | GEO | 2023/02/08

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Expression profiling of a high-fertility mouse line by microarray analysis and qPCR.

2008-09-22 | GSE11113 | GEO

Transcription profiling of mouse line with high fertiliy by microarray analysis and qPCR.

Project description:The objective of the present study was to identify genes that are involved in increasing the ovulation number in mouse line FL1 that had been selected for high fertility performance. Experiment Overall Design: Ovaries from 30 animals of line FL1 and of the control line DUKsi were collected at the metestrous stage, combined to 6 pools each, and processed for microarray analysis.

2008-10-25 | E-GEOD-11113 | biostudies-arrayexpress

Transcription profiling of chicken oocytes to determine impact of oocyte competence on subsequent fertility

Project description:The aim of this study was to assess the impact of oocyte competence on subsequent fertility. Based on knowledge already accessible in mammals and on bioinformatics tools including the chicken genome sequence, we focused on the expression of genes involved in the processes of fertilization and of early embryo development. A differential kinetic study is performed on INRA lines selected on the basis of their fertility potential in purpose of hopefully access gene markers of fertility performance. We use 4 different hen lines:; - one line of laying hens with 3 different samples: the just ovulated oocyte, the oocyte collected 24 hours before ovulation (F1 stage), and granulosa cells collected at the F1 stage. We could compare different tissue and developmental stages. - one line of hen with rapid growth speed; - two lines of laying hens; For the 3 last lines we used animals with different fertility levels. We collected the oocyte of the largest follicle before ovulation (F1). The aim of the study is to identify genes involved in fertility or early embryo mortality. Experiment Overall Design: 6 arrays - Gallus gallus

2008-11-08 | E-GEOD-7805 | biostudies-arrayexpress

Single-cell RNA-seq (10x) of the goat ovarian granulosa cells samples from high fertility group (>three babys per birth) and low fertility group (< two babys per birth).

Project description:Single-cell RNA-seq (10x) of the goat ovarian granulosa cells samples from high fertility group (>three babys per birth) and low fertility group (< two babys per birth). The goal of this project is to explore the role of ovarian granulosa cells on the fertility of goat at single cell level. We would like to investigate the role of ovarian granulosa cells on the ovulation rate which indicates fertility. Therefore the ovarian granulosa cells from different population (hihg or low fertility groups animals) were analyzed.

2021-12-01 | GSE135688 | GEO

Functional and transcriptomic dose-response analysis of follicle-stimulating hormone in ex vivo mouse folliculogenesis and oogenesis

Project description:The gonadotropin-dependent phase of ovarian folliculogenesis primarily requires follicle-stimulating hormone (FSH) to support one or multiple early antral follicles, dependent on the species, to mature fully and support steroidogenesis, oogenesis, and ovulation, which critically sustain female reproductive cycles and fertility. At molecular levels, FSH binds to its membrane receptor, FSHR, in granulosa cells to activate a suite of genes and signal transduction pathways. Both insufficient FSH caused by genetic or non-genetic reasons and excessive FSH used for ovarian stimulation in assisted reproductive technology (ART) can cause poor female reproductive outcomes, but the underlying mechanisms remain elusive. Here, we used an ex vivo folliculogenesis and oogenesis system along with single-follicle and -oocyte RNA sequencing analysis and other approaches to investigate the effects of different concentrations of FSH on key follicular events. The results revealed that a minimum FSH threshold is required for follicle maturation, and such threshold is moderately variable among individual follicles. FSH at the subthreshold, threshold, and suprathreshold levels induced distinct expression patterns of follicle maturation-related genes and the entire follicular transcriptomics. The RNA-seq analysis identified several new genes and signaling pathways that may critically regulate follicle maturation. The treatment of excessive FSH resulted in multiple ovarian disorders including premature luteinization, high production of androgen and proinflammatory factors, and reduced expression of energy metabolism-related genes in oocytes. Together, our study enables a better understanding of the gonadotropin-dependent folliculogenesis, and the novel findings shed crucial insights into how ovarian stimulation with high doses of FSH used in ART impact follicular health, oocyte quality, pregnancy success, and systemic health.

2024-06-05 | GSE249196 | GEO

ERK1/2 in Ovarian Granulosa Cells are Essential for Female Fertility

Project description:A surge of luteinizing hormone (LH) from the pituitary gland triggers ovulation, oocyte maturation, and luteinization for successful reproduction in mammals. Since the signaling molecules RAS and ERK1/2 are activated by a LH surge in granulosa cells of preovulatory follicles, we disrupted Erk1/2 in mouse granulosa cells and provide in vivo evidence that these kinases are necessary for LH-induced oocyte resumption of meiosis, ovulation, and luteinization. In addition, biochemical analyses and selected disruption of the Cebpb gene in granulosa cells demonstrate that C/EBP is a critical downstream mediator of ERK1/2 activation. These mouse models provide in vivo systems in which to define the context specific and molecular mechanisms by which granulosa cells respond to LH and these mechanisms are relevant to the regulation of human fertility and infertility. Immature wild type or ERK1/2 conditonal knock-out mice were injected with 5IU equine chorionic gonadotropin (eCG)-48h followed by 5 IU hCG injection. The ovarian granulosa cells were collected at hCG 0h, 2.5h, or 4h and the gene expression pforiles were compared by microarray method.

2009-03-20 | E-GEOD-15315 | biostudies-arrayexpress

ERK1/2 in Ovarian Granulosa Cells are Essential for Female Fertility

2009-03-20 | GSE15315 | GEO

small non-coding RNA sequencing of human cumulus cells from patients with or without Diminished ovarian reserve

Project description:This group consist of human embryologists from the reproductive medical center for of the 1st affiliated hospital of Anhui Medical University. Our research is specifically focused on women ovarian reserve and the relevant female infertility. By deep sequencing, the current experiment determined the small non-coding RNA profile of cumulus cells from patients with or without diminished ovarian reserve undergoing controlled ovarian stimulation and in vitro fertilization treatment. Ovarian follicles, which are a densely-packed shell of granulosa cells that contains an immature or mature oocyte, are above all responsible for the development, maturation, and release of mature egg for fertilization. They are also responsible for synthesizing and secreting hormones that are essential for follicular development, menstrual and estrous cycle, maintenance of the reproductive tracts and their functions, development of female secondary sex characteristics, and metabolism. During folliculogenesis, ovarian granulosa cells surrounding the oocyte differentiate into mural granulosa cells, involved in gonadal steroidogenesis, and into cumulus cells, which are ovulated with the oocyte at ovulation. In the present study, we described the small non-coding RNA expression profile to characterize the ensemble of both known and novel ncRNAs expressed in cumulus cells from patients with or without Diminished ovarian reserve, by using high-throughput Solexa technology.

2015-11-20 | E-MTAB-3913 | biostudies-arrayexpress

The ovulatory signal precipitates LRH-1 transcriptional switching mediated by differential chromatin accessibility.

Project description:In the ovary, follicular growth and maturation are complicated processes that involve a series of morphological and physiological changes in oocytes and somatic cells leading to ovulation and luteinization, essential processes for fertility in females. Given the complexity of ovulation, characterization of genome-wide regulatory elements is essential to understand the mechanisms governing the expression of specific genes in the rapidly differentiating follicle. We therefore employed a systems biology approach to determine global transcriptional mechanisms during the early stages of the ovulatory process. We demonstrate that, following the hormonal signal that initiates ovulation, granulosa cells undergo major modification of distal regulatory elements which coincides with cistrome reprogramming of the indispensable orphan nuclear receptor, liver receptor homolog-1 (LRH-1). This cistromic reorganization correlates with the extensive changes in gene expression in ovarian granulosa cells, leading to ovulation. Together, our study yields a transcriptional map of unprecedented detail, delineating ovarian cell differentiation during the initiation of ovulation. It further demonstrates the power of complementary global approaches to accurately characterize molecular events that direct the multiple and rapid changes that characterize reproductive processes.

2019-05-14 | GSE119508 | GEO

Identification of discriminant genes and gene networks involved in pig ovarian follicular atresia

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

2008-12-31 | GSE7635 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data