Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Integration of parallel metabolomics and transcriptomics reveals metabolic patterns in porcine oocytes during maturation

ABSTRACT: Integration of parallel metabolomics and transcriptomics reveals metabolic patterns in porcine oocytes during maturation

PROVIDER: PRJNA921871 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR23017100_1.fastq.gz	Fastqsanger.gz
	SRR23017100_2.fastq.gz	Fastqsanger.gz
	SRR23017101_1.fastq.gz	Fastqsanger.gz
	SRR23017101_2.fastq.gz	Fastqsanger.gz
	SRR23017102_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 24

Similar Datasets

Integration of parallel metabolomics and transcriptomics reveals metabolic patterns in porcine oocytes during maturation

Project description:Well-balanced and timed metabolism is the prerequisite for optimal oocyte development. To date, numerous studies have focused on the utilization of exogenous substrates by oocytes, whereas the underlying mechanism of intrinsic regulation during meiotic maturation is less characterized. Herein, we performed an integrated analysis of parallel metabolomics and transcriptomics by isolating porcine oocytes at three time points, cooperatively depicting the global picture of the metabolic patterns during oocyte maturation. In particular, we identified the metabolic features of porcine oocytes during meiotic maturation, such as the fall in bile acids, the active one-carbon metabolism and a progressive decline in nucleotide metabolism. Collectively, the current study not only provide a comprehensive multiple omics data resource, but also may promote the discovery of biomarkers in the prediction and improvement of oocyte quality.

2023-01-25 | GSE222399 | GEO

Integration of parallel metabolomics and transcriptomics reveals metabolic patterns in porcine oocytes during maturation.

Project description:Well-controlled metabolism is the prerequisite for optimal oocyte development. To date, numerous studies have focused mainly on the utilization of exogenous substrates by oocytes, whereas the underlying mechanism of intrinsic regulation during meiotic maturation is less characterized. Herein, we performed an integrated analysis of parallel metabolomics and transcriptomics by isolating porcine oocytes at three time points, cooperatively depicting the global picture of the metabolic patterns during maturation. In particular, we identified the novel metabolic features during porcine oocyte meiosis, such as the fall in bile acids, the active one-carbon metabolism and a progressive decline in nucleotide metabolism. Collectively, the current study not only provides a comprehensive multiple omics data resource, but also may facilitate the discovery of molecular biomarkers that could be used to predict and improve oocyte quality.

| S-EPMC9929430 | biostudies-literature

Porcine oocytes maturation in vitro

Project description:The proper mammalian oocytes maturation is recognized as reaching MII stage and accumulation of mRNA and proteins in cell cytoplasm following fertilization. The proper course of folliculogenesis and oogenesis is orchestrated with morphogenesis significantly influencing further zygote formation and embryos growth. This study was aimed to determinate new transcriptomic markers of porcine oocytes morphogenesis associated with cell maturation capacity. We used microarrays to detail the global programme of gene expression underlying changes before and after in vitro maturation of oocytes in sus scrofa

2017-03-31 | GSE97246 | GEO

Combined analysis of temporal metabolomics and transcriptomics reveals the metabolic patterns in goat oocytes during maturation

Project description:Combined analysis of temporal metabolomics and transcriptomics reveals the metabolic patterns in goat oocytes during maturation

| PRJNA1031193 | ENA

Characterization of metabolic patterns in mouse oocytes during meiotic maturation

Project description:Well balanced and timed energy metabolism is essential for making a high quality egg. However, the metabolic framework that supports oocyte development remains poorly understood. Here we obtained the temporal metabolome profiles of mouse oocytes during in vivo maturation by isolating large number of cells at key stages. In parallel, quantitative proteomic analyses were conducted to bolster the metabolomic data, synergistically depicting the global metabolic patterns in oocytes. In particular, we discovered novel metabolic features during oocyte maturation, such as the fall in polyunsaturated fatty acids (PUFAs) level and the active serine-glycine-one-carbon (SGOC) pathway. Using functional approaches, we further identified two key targets (NKAP and BTG4) through which arachidonic acid (ARA) inhibits meiotic maturation, and demonstrated the control of epigenetic marks in maturing oocytes by SGOC network. Our data serves as a broad resource on the dynamics occurring in metabolome and proteome during oocyte maturation, and provides opportunities for predicting and improving oocyte quality.

2020-12-21 | GSE149053 | GEO

Dietary Patterns, Metabolomics and Colorectal Cancer Risk

Project description:Colorectal cancer (CRC) is the third most commonly diagnosed cancer in American men and women with ≥130,000 new cases each year. Several dietary patterns have been associated with CRC risk but underlying mechanisms are not fully understood. Researchers thus propose to integrate dietary patterns and metabolomics data to comprehensively investigate biological pathways linking dietary patterns and CRC risk.

| 2260610 | ecrin-mdr-crc

Expression data from prepubertal and adult derived porcine oocytes

Project description:Oocyte developmental potential is progressively obtained as females approach puberty. Therefore, oocytes derived from prepubertal females are less developmentally competent, indicated by decreased embryonic development, compared to oocytes derived from adult females. To investigate mechanisms involved in establishing oocyte cytoplasmic maturation and developmental competence, Affymetrix GeneChip microarrays were used. Keywords: oocyte developmental competence, maternal age Porcine oocytes obtained from prepubertal and adult females were collected for RNA extraction and hybridization on Affymetrix microarrays. Oocytes were aspirated from 2 to 6 mm ovarian follicles and matured in vitro. Analysis of the first extruded polar body ensured that all oocytes used in the analyses had completed nuclear maturation.

2009-12-30 | E-GEOD-11590 | biostudies-arrayexpress

Spermidine promotes meiotic maturation of porcine oocytes

Project description:Spermidine is involved in a variety of biological processes, including DNA metabolism, autophagy and aging. Previous studies have shown that spermidine can increase the percentage of mouse oocytes developing into blastocysts after in vitro fertilization. However, none of the past studies elucidated the effects of spermidine supplementation on porcine oocyte maturation. Here, we choose appropriate dose of spermidine to be added to the maturation medium during in vitro maturation (IVM) to verify whether spermidine can actively promote the maturation of porcine oocytes. Our study provided substantial evidence that spermidine exposure promoted the porcine oocyte meiotic maturation. In addition, single-cell transcriptome analysis identified the target effectors of spermidine actions in porcine oocytes, further demonstrating that spermidine exposure enhanced mitochondrial distribution and function, leading to a reduced excessive oxidative stress-induced DNA damage and early apoptosis of porcine oocytes. These findings demonstrate that spermidine not only delays ageing and cancer treatment, but also improves the quality of germ cells, which may be less likely to suffer from sterility or infertility in humans and animals.

2024-11-30 | GSE217447 | GEO

Single Cell RNA-seq for porcine oocytes

Project description:We report the application of single cell transcriptome sequencing technology for high-throughput profiling of the brilliant cresyl blue test-positive porcine oocytes had higher rates of meiotic maturation, lower death rates, and better cleavage and blastocyst rates as well. Single oocyte transcriptome sequencing on porcine germinal vesicle (GV) stage oocytes that differentially stained by BCB identified 155 genes with significant abundance differences, including CDC5L, LDHA, SPATA22, RGS2, PAIP1, WEE1B and HSP27, which enriched in functionally important signaling pathways, such as spliceosome, cell cycle, oocyte meiosis, and nucleotide excision repair.

2019-01-17 | GSE101181 | GEO

Combined analysis of temporal metabolomics and transcriptomics reveals the metabolic patterns in goat oocytes during maturation

Project description:Well-balanced and orderly metabolism is a crucial prerequisite for promoting oogenesis. Involvement of single metabolites in oocyte development has been widely reported; however, the comprehensive metabolic framework controlling oocyte maturation is still lacking. In the present study, we employed an integrated temporal metabolomic and transcriptomic method to analyze metabolism in goat oocytes at key stages, revealing the global picture of the metabolic patterns during maturation. In particular, several significantly altered metabolic pathways during goat oocyte meiosis have been identified, including active serine metabolism, increased utilization of tryptophan, and marked accumulation of purine nucleotide. In summary, the current study not only provides multiple omics data resources for goat oocyte development, but also presents a novel perspective to understand the mechanisms regulating mammalian oogenesis.

2024-07-06 | GSE246054 | 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