Transcriptomics

Dataset Information

301

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


ABSTRACT: 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

ORGANISM(S): Mus musculus  

SUBMITTER: Lenka Veselovska   Sebastien Smallwood  Heba Saadeh  Gavin Kelsey 

PROVIDER: E-GEOD-70116 | ArrayExpress | 2015-09-02

SECONDARY ACCESSION(S): GSE70116SRP059745PRJNA287680

REPOSITORIES: GEO, ArrayExpress, ENA

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