Single-cell atlas of lineage states, tumor microenvironment and subtype specific expression programs in gastric cancer
Gastric cancer (GC) heterogeneity between and within tumors represents a barrier to disease management. We generated a comprehensive single-cell atlas of GC comprising 31 primary gastric tumor samples representing clinical stages I-IV and histological subtypes. We identified 34 distinct cell-lineage states, related by developmental trajectories and previously unreported rare cell populations. Many lineage states exhibited a distinctive tumor-associated expression profile, each contributing indiv...
Provenance — who produced it, who reused it
Linked to 38 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.
- Exosome circATP8A1 induces macrophage M2 polarization by regulat... 2024 · 145 cites
36 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