Single cell analysis reveals onset of multiple progression associated transcriptomic remodellings in prostate cancer
Dissecting heterogeneity of prostate tumors is a clinical imperative. Here, we analyzed the transcriptomes of 36,424 single-cells from 13 prostate tumors, and identified lineage specific epithelial cells underlying disease aggressiveness. Activation of various progression-associated transcriptomic programs exists in the tumor microenvironment (TME). Notably, we observed promiscuous KLK3 expression in TME and validated the ability of tumor-derived exosomes in altering T cell transcriptomes. Singl...
Provenance — who produced it, who reused it
Linked to 22 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.
- Resolving the immune landscape of human prostate at a single-cel... 2021 · 155 cites
- Single-cell ATAC and RNA sequencing reveal pre-existing and pers... 2021 · 121 cites
20 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