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Series GSE70116 Query DataSets for GSE70116
Status Public on Sep 02, 2015
Title Deep sequencing and de novo assembly of the mouse oocyte transcriptome define the contribution of transcription to the DNA methylation landscape.
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary 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.
 
Overall design RNA-Seq in mouse oocytes at different stages of folliculogenesis
 
Contributor(s) Veselovska L, Saadeh H, Smallwood S, Kelsey G
Citation(s) 26408185
Submission date Jun 22, 2015
Last update date May 15, 2019
Contact name Gavin Kelsey
Organization name The Babraham Institute
Street address Babraham Research Campus
City Cambridge
ZIP/Postal code CB22 3AT
Country United Kingdom
 
Platforms (1)
GPL17021 Illumina HiSeq 2500 (Mus musculus)
Samples (4)
GSM1717217 NGO
GSM1717218 GO1
GSM1717219 GO2
Relations
BioProject PRJNA287680
SRA SRP059745

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE70116_RNA-Seq_Read_Counts.txt.gz 741.3 Kb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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