Single-Cell Map of Diverse Immune Phenotypes in the Metastatic Brain Tumor Microenvironment of Non Small Cell Lung Cancer and triple negative breast cancer
To shed light on the complexity of tumor-infiltrating immune cells in non-small cell lung cancer (NSCLC) patients and triple negative breast cancer (TNBC) patients with a metastatic brain tumor, we performed massively-parallel single-cell RNA sequencing on 12,196 cells,including 2,012 myeloid cells from 3 surgically removed brain lesions of treatment-naïve NSCLC patients, as well as 6,000 cells from brain lesion of one triple negative breast cancer patient. We found a lack of T lymphocyte infilt...
Provenance — who produced it, who reused it
Linked to 14 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.
- Systematic investigation of mitochondrial transfer between cance... 2023 · 114 cites
- BIDCell: Biologically-informed self-supervised learning for segm... 2024 · 72 cites
12 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
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.