Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

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

ABSTRACT: 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.

ORGANISM(S): Capra hircus

PROVIDER: GSE246054 | GEO | 2024/07/06

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Filtered reproductive long non-coding RNAs by genome-wide analyses of goat ovary at different estrus periods

Project description:Background: The goat is an important farm animal. Reproduction is an important process of goat farming. The ovary is the most important reproductive organ for goats. In recent years, an increasing number of long non-coding RNAs (lncRNAs) have been implicated in the regulation of mammal reproduction. However, there are few studies on the function of lncRNAs in reproduction, particularly lncRNAs in the ovary. Results: The sequencing of goat ovaries generated 1,122,014,112 clean reads, and 4,926 lncRNAs and 1,454 TUCPs(transcripts of uncertain coding potential) were identified for further analysis by using the coding potential analysis software, CNCI, CPC and Pfam-sca. There were 115 /22 differential lncRNAs /TUCPs transcripts between the ovaries of the luteal phase and the follicular phase. We predicted the target genes of lncRNA /TUCP based on co-expression and co-localization methods. In total, 2584 /904 target genes were predicted by co-expression, and 326/73 target genes were predicted by co-localization. The functions of these target genes were further analyzed with GO and KEGG analysis. The results showed that lncRNAs /TUCPs, which are highly expressed in goat ovaries in the luteal phase, are mainly associated with the synthesis of progesterone, and we filtered the lncRNAs /TUCPs, such as XR_001918177.1 and TUCP_001362, which may regulate the synthesis of progesterone; lncRNAs /TUCPs, which are highly expressed in goat ovaries in the follicular phase, are mainly associated with oogenesis and the maturation of oocytes, and we filtered the lncRNAs /TUCPs that may regulate the oogenesis and maturation of oocyte, such as XR_001917388.1 and TUCP_000849. Conclusion: The present study provided the genome expression profile of lncRNAs /TUCPs in goat ovaries at different estrus periods and filtered the lncRNAs /TUCPs associated with goat reproduction. These results are helpful to further study the molecular mechanisms of goat reproduction.

2018-11-15 | GSE120144 | GEO

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

RNA-seq of goat mamamary gland cells samples from different cirRNA modification groups

Project description:The goat of this project is to explore cirRNA28250 regulation goat mammary gland lipid metabolism. We tried to search the mechanism of cirRNA28250 regulation lipid metabolism. RNA-seq of goat mamamary gland cells samples from different groups: 5NC, cirRNA28250 overexpression, 3NC, cirRNA28250 knockdown. The goat mammary gland cells were cultured in 3D condition. The cell were transfected with virus with cirRNA28250 gene (overexpression), or inhibition of cirRNA28250 expression ( cirRNA28250 gene knockdown).

2021-12-01 | GSE142577 | GEO

small RNA sequencing of goat mamamary gland cells samples from cirRNA modification groups

Project description:The goat of this project is to explore cirRNA28250 efffect on small RNA to regulation goat mammary gland lipid metabolism. We tried to search the mechanism of cirRNA28250 regulation lipid metabolism through miRNA. small RNA seqencing of goat mamamary gland cells samples from different groups: 5NC, cirRNA28250 overexpression, 3NC,cirRNA28250 knockdown. The goat mammary gland cells were cultured in 3D condition. The cell were transfected with virus with cirRNA28250 gene (overexpression), or inhibition of cirRNA28250A expression (cirRNA28250 gene knockdown).

2021-12-01 | GSE142578 | GEO

small RNA sequencing of goat mamamary gland cells samples from different treatment groups

Project description:The goat of this project is to explore lncRNA55666 efffect on small RNA to regulation goat mammary gland lipid metabolism. We tried to search the mechanism of lncRNA55666 regulation lipid metabolism through miRNA. small RNA seqencing of goat mamamary gland cells samples from different groups: 5NC, lncRNA55666 overexpression, 3NC, lncRNA55666 knockdown. The goat mammary gland cells were cultured in 3D condition. The cell were transfected with virus with lncRNA55666 gene (overexpression), or inhibition of lncRNA expression (lncRNA gene knockdown).

2020-08-13 | GSE135793 | GEO

RNA-seq of goat mammary gland cells samples from different treatment groups

Project description:The goal of this project is to explore lncRNA55666 regulation goat mammary gland lipid metabolism. We tried to search the mechanism of lncRNA55666 regulation lipid metabolism. RNA-seq of goat mamamary gland cells samples from different groups: 5NC, lncRNA55666 overexpression, 3NC, lncRNA55666 knockdown. The goat mammary gland cells were cultured in 3D condition. The cell were transfected with virus with lncRNA55666 gene (overexpression), or inhibition of lncRNA expression (lncRNA gene knockdown).

2020-08-01 | GSE135692 | GEO

Genetic characterization of Slovenian indigenous goat breed Dreznica goat

Project description:Local breeds retained unique genetic variability important for adaptive potential especially in light of challenges related to climate change. Our objective was to perform, for the first time, a genome-wide diversity characterization using Illumina GoatSNP50 BeadChip of autochthonous Drežnica goat breed from Slovenia. Genetic diversity analyses revealed that the Slovenian Drežnica goat has a distinct genetic identity and is closely related to the neighboring Austrian and Italian alpine breeds. These results expand our knowledge on phylogeny of goat breeds from easternmost part of the European Alps.

2021-06-05 | GSE176157 | GEO

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

goat

Project description:Yunling black goat, Nubian goat Raw sequence reads

| PRJNA504493 | ENA

EXOSC10 sculpts the transcriptome during oocyte growth-to-maturation transition

Project description:Growing mammalian oocytes accumulate substantial amounts of RNA, most of which are degraded during the subsequent maturation stage. The growth-to-maturation transition begins with germinal vesicle breakdown (GVBD, envisioned as nuclear envelope breakdown) and is critical for oocyte quality. However, the concomitant changes in the transcriptome during GVBD as well as the underlying machinery remained unclear. Here, we report that an RNA exosome-associated RNase, EXOSC10, sculpts the transcriptome at multiple level to facilitate the oocyte growth-to-maturation transition. We establish an oocyte-specific knockout of Exosc10 in mice using CRISPR/Cas9 and find female subfertility due to failed GVBD. By performing single oocyte RNA-seq in different ways, we document dysregulated transcriptomes, unsuccessfully processed rRNAs in mutant oocytes, and many up-regulated RNAs that encode proteins important for endomembrane trafficking, meiotic cell cycle and RNA metabolism. EXOSC10-depleted oocytes have impaired endomembrane components including endosome, lysosome, ER and Golgi. In addition, CDK1 fails to be activated possibly due to persistent WEE1 activity, which blocked lamina phosphorylation and disassembly in mutant oocytes. Collectively, we propose that EXOSC10 promotes the growth-to-maturation transition in mouse oocytes by degrading mRNAs that encode growth-phase factors and sculpting the transcriptome to support the maturation phase of oogenesis.

2019-11-30 | GSE141190 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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