Ageing affects DNA methylation and transcriptional cell-to-cell variability in muscle stem cells [scBS-seq]
Age-related tissue alterations have been associated with a decline in stem cell number and function. Increased cell-to-cell variability in transcription or epigenetic marks has been proposed to be a major hallmark of ageing. Here, using parallel single-cell transcriptome and DNA methylome profiling, we find a global increase of uncoordinated transcriptional heterogeneity and context-dependent alterations of DNA methylation heterogeneity in ageing mouse muscle stem cells. Importantly, promoters w...
Provenance — who produced it, who reused it
Linked to 2 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.
- Profiling epigenetic age in single cells 2021 · 151 cites
1 further paper cites 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