Comprehensive transcriptomic profiles of non-small cell lung cancer by single-cell RNA-seq
Lung cancer has been the leading cause of cancer death seriously threatening human health. The lung cancers display high heterogeneity in terms of pathology and molecular biomarkers. However, previous studies are mainly based on population of cancer cells due to technical limitations, which would conceal important information from rare single cells. Hence, using a modified STRT-seq technique, we profiled transcriptomes of over 9,000 single cells from 20 primary non-small cell lung cancer (NSCLC)...
Provenance — who produced it, who reused it
Linked to 3 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.
2 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
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently