Multi-modal analysis of the aging mouse lung at cellular resolution
A) Whole lung tissue from 24 months (n=7) and 3 months old (n=8) mice was dissociated and single-cell mRNAseq libraries generated with Drop-Seq. B) Bulk RNA-seq data was generated from whole mouse lung tissue of old (n=3) and young (n=3) samples. C) Bulk RNA-seq data was generated from flow-sorted macrophages from old (n=7) and young (n=5) mice and flow-sorted epithelial cells from old (n=4) and young (n=4) mice.
Provenance — who produced it, who reused it
Linked to 9 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.
- Confronting false discoveries in single-cell differential expres... 2021 · 980 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