Sex and aging effect on skeletal muscle transcriptome in humans
The aim of this investigation was to develop a global view of muscle transcriptional differences between older men and women and with aging for each sex.
Provenance — who produced it, who reused it
Linked to 11 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.
- A novel multi-tissue RNA diagnostic of healthy ageing relates to... 2015 · 248 cites
- Machine Learning on Human Muscle Transcriptomic Data for Biomark... 2018 · 224 cites
- Distinct longevity mechanisms across and within species and thei... 2023 · 149 cites
8 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