scRNA-seq profiling of breast cancer tumors, BRCA1 mutant pre-neoplastic mammary gland cells and normal mammary gland cells
This study presents a single cell transcriptome map of nearly 430,000 cells encompassing normal breast at different hormonal stages, preneoplastic BRCA1+/- tissue, the major clinical subtypes of breast cancer, and matching pairs of tumors and involved axillary lymph nodes. Comparison of normal tissue specimens according to menopausal status primarily revealed changes in the stroma. Although there were modest changes in the microenvironment of preneoplastic BRCA1+/- versus normal tissue, a profou...
Provenance — who produced it, who reused it
Linked to 72 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.
- A single-cell atlas enables mapping of homeostatic cellular shif... 2024 · 100 cites
- Exploring the role of sphingolipid-related genes in clinical out... 2023 · 100 cites
- Integrating single-cell RNA-seq and bulk RNA-seq to construct pr... 2023 · 90 cites
69 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.