Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Oocyte methylation landscape

ABSTRACT: Dynamic CpG island methylation landscape in oocytes and preimplantation embryos

PROVIDER: PRJEB2547 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR034779.fastq.gz	Fastqsanger.gz
	ERR034780.fastq.gz	Fastqsanger.gz
	ERR034781.fastq.gz	Fastqsanger.gz
	ERR034782.fastq.gz	Fastqsanger.gz
	ERR034783.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 26

Similar Datasets

The landscape of accessible chromatin in bovine oocytes and early embryos

Project description:ATAC sequencing of bovine oocytes and early embryos revealed a genome-wide map of accessible chromatin of bovine early embryo development, highlighting the critical features of chromatin landscape and epigenetic reprogramming during bovine preimplantation embryo development.

2020-11-21 | GSE145040 | GEO

The DNA methylation landscape of human early embryos

Project description:Our data provided a genome-wide DNA methylation landscape of human early development embryos, including human MII oocytes, sperm, zygotes, 2-cell to 8-cell embryos, morula, blastocyst and postimplantation embryos at single base resolution. In total, 44 samples including biological and technical replicates, from 12 different human embryo development stages were analyzed, including two metaphase II oocytes, two zygotes, three first polar bodies, two second polar bodies, four sperm samples, two 2-cell-stage embryos, two 4-cell-stage embryos, three 8-cell-stage embryos, three morulae, three inner cell masses (ICMs) and three trophectoderms (TEs) seperated from late blastocysts, and three post-implantation embryos. In addition, 12 different human embryo development stages were analyzed, including metaphase II oocytes, zygotes, first polar bodies, second polar bodies, sperm samples, 2-cell-stage embryos, 4-cell-stage embryos, 8-cell-stage embryos, morulae, inner cell masses (ICMs) and trophectoderms (TEs) seperated from late blastocysts, and post-implantation embryos.

2014-07-22 | E-GEOD-49828 | biostudies-arrayexpress

Comprehensive analysis of H3K9me2 oocytes, together with DNA methylation and expression analysis of G9a conditional KO oocytes and maternal KO preimplantation embryos

Project description:We report the first genome-wide landscape of H3K9me2 ChIP-seq profile in mouse oocytes. We also performed whole-genome bisulfite sequencing and RNA-seq analysis of G9a conditional KO oocytes and maternal KO preimplantation embryos. Our findings illuminate the functional importance of G9a in preimplantation development and, in addition, pose a question on the proposed role for H3K9me2 in protection of the maternal genome from active CG demethylation.

2019-04-02 | GSE112320 | GEO

Transcriptome analysis of oocytes and early embryos to demonstrate trancriptional regulation during mouse oocyte-to-embryo transition

Project description:In this study, we performed RNA-seq to elucidate how transcriptional activities of mouse oocytes and preimplantation embryos are regulated to control oocyte-to-embryo transition. Through analyzing transcriptome alterations of transgenically-modified growing oocytes, early embryos from aged female, early embryos treated with drugs disturbing proteostasis, and embryonic stem cells treated with drugs disturbing proteostasis, we identified critical roles of proteostasis in transcriptional regulation of mouse oocytes and early embryos.

2025-01-20 | GSE241388 | GEO

The DNA methylation landscape of human early embryos

2014-07-22 | GSE49828 | GEO

Analysis of DNA Methylation in Sperm, egg cell, fertilized zygote and preimplantation embryonic cells

Project description:10% of methylation sites in CpG islands. In this study, the genome-wide CpG islands of human sperm, oocyte and pre-implantation embryos were analyzed using the almost complete coverage of promoters and CpG islands (most methylation-producing regions) methylation microarray method (MeDIP-Chip). Dynamic changes in methylation of sub-regions to understand the dynamic pattern of CpG island and promoter methylation, possible regulatory mechanisms of this methylation dynamic change, and function during early embryonic development.

2020-02-01 | GSE124358 | GEO

Mass spectrometry of clinically-discarded preimplantation embryos

Project description:Clinically-discarded oocytes and preimplantation embryos at various stages were collected to perform proteome analysis.

2025-05-26 | PXD042633 | Pride

Polycomb Repressive-Deubiquitinase Complex Safeguards Oocyte Epigenome and Female Fertility by Restraining Polycomb Activity [CUT&RUN]

Project description:Polycomb group proteins are essential for oogenesis, yet mechanisms underlying the non-canonical Polycomb landscapes in oocytes remain unclear. Here we report BAP1, a core component of the Polycomb Repressive-Deubiquitinase (PR-DUB) complex, as a key negative regulator of Polycomb activity during oogenesis. BAP1 restricts pervasive H2AK119ub1 accumulation in oocytes and protects oocyte-specific broad H3K27ac, particularly within gene-poor regions, from ectopic H3K27me3 deposition. While PR-DUB has been linked to gene repression, in oocytes BAP1 primarily promotes transcription and contributes minimally to Polycomb-mediated silencing. BAP1-deficient oocytes cannot support preimplantation development due to impaired maternal-to-zygotic transition and defective embryonic enhancer activation. Notably, aberrant H3K27me3 landscape established in BAP1-null oocytes persists into early embryos. Together, these findings reveal a critical role for PR-DUB in safeguarding the oocyte epigenome by protecting euchromatin from ectopic Polycomb activity, rather than enforcing transcriptional repression.

2025-08-13 | GSE302844 | GEO

Polycomb Repressive-Deubiquitinase Complex Safeguards Oocyte Epigenome and Female Fertility by Restraining Polycomb Activity [RNA-Seq]

2025-08-13 | GSE302804 | GEO

Deep sequencing and de novo assembly of the mouse oocyte transcriptome define the contribution of transcription to the DNA methylation landscape.

Project description:We have performed deep RNA-Seq and de novo transcriptome assembly at different stages of mouse oogenesis. This revealed thousands of novel non-annotated genes as well as alternative promoters for ~10% of reference genes expressed in oocytes, a large fraction of which coincide with transposable elements of the MaLR and ERVK families. We defined the oocyte DNA methylation landscape as composed of large-scale hyper- and hypo-methylated domains. Correlation with our transcriptome assembly revealed that transcription correlates accurately with DNA methylation and potentially account for ~85-90% of the DNA methylome. RNA-Seq in mouse oocytes at different stages of folliculogenesis

2015-09-02 | E-GEOD-70116 | biostudies-arrayexpress

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