Deep sequencing and de novo assembly of the mouse oocyte transcriptome define the contribution of transcription to the DNA methylation landscape.
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 t...
Provenance — who produced it, who reused it
Linked to 5 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
- Integrative single-cell analysis of transcriptome, DNA methylome... 2018 · 181 cites
3 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently