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Comprehensive Profiling of Cancer Cells and Their Microenvironment in Advanced NSCLC
Using single-cell RNA sequencing (scRNA-seq) profiles gene expression pattern of each individual cell to characterize of the entire tumor ecosystem
Provenance — who produced it, who reused it
Linked to 23 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.
Deposited / produced by
Jue Fan
Reused by
- High-resolution single-cell atlas reveals diversity and plastici... 2022 · 459 cites
- An integrated single-cell transcriptomic dataset for non-small c... 2023 · 84 cites
- BIDCell: Biologically-informed self-supervised learning for segm... 2024 · 72 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
Data type / assay
bulk-RNA-seq
Organism
Homo sapiens
Files available
TXT
Metrics (value · how obtained)
supplementary file types
TXT
reported
QC cost
4 s compute
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently