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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).

ABSTRACT: 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).

PROVIDER: PRJNA559681 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR9945436_1.fastq.gz	Fastqsanger.gz
	SRR9945436_2.fastq.gz	Fastqsanger.gz
	SRR9945437_1.fastq.gz	Fastqsanger.gz
	SRR9945437_2.fastq.gz	Fastqsanger.gz

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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.

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DNA methylation sequencing of the goat ovarian samples from high fertility group (>three babys per birth) and low fertility group (< two babys per birth).

Project description:The aim of this study was to explore DNA methylation status in the ovarian samples of two different population of goat (high fertility and low fertility groups). We profiled DNA methylation sequencing of the goat ovarian samples from high fertility group (>three babys per birth) and low fertility group (< two babys per birth).

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Single-cell RNA-seq of the goat oocytes samples from high fertility group (>three babys per birth) and low fertility group (< two babys per birth)

Project description:The goal of this study was designed to search for the important genes contribution to fertility. Single-cell RNA-seq of the goat oocytes samples from high fertility group (>three babys per birth) and low fertility group (< two babys per birth). And each group was divided into three subgroup based in the size of follicles: large, medium, and small follicles.

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DNA methylation sequencing of the goat ovarian samples from high fertility group (>three babys per birth) and low fertility group (< two babys per birth).

Project description:DNA methylation sequencing of the goat ovarian samples from high fertility group (>three babys per birth) and low fertility group (< two babys per birth).

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Single-cell RNA-seq of the goat oocytes samples from high fertility group (>three babys per birth) and low fertility group (< two babys per birth)

Project description:Single-cell RNA-seq of the goat oocytes samples from high fertility group (>three babys per birth) and low fertility group (< two babys per birth)

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Single-cell RNA-seq of the goat ovarian granulosa cells samples from high and low fertility groups

Project description:The goal of this study was designe to search for the granulosa cells contribution on fertility. Single-cell RNA-seq of the goat ovarian granulosa cells samples from high fertility group (>three babys per birth) and low fertility group (< two babys per birth). And each group was divided into three subgroup based in the size of follicles: large, medium, and small follicles.

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Sulfonamide functional head group drives developmental toxicity of short-chain per- and polyfluorolkyl substances

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

Project description: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.

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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.

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