Transcriptomes of breast epithelium and stroma in normal reduction mammoplasty and invasive breast cancer patients.
The molecular basis of breast cancer invasion and metastasis is not well understood. Our objective was to analyze transcriptome differences between stromal and epithelial cells in normal breast tissue and invasive breast cancer to define the role stroma plays in invasion. Total RNA was isolated from epithelial and stromal cells that were laser captured from normal breast tissue (n=5) and invasive breast cancer (n=28). Gene expression was measured using Affymetrix U133A 2.0 GeneChips. Differe...
Provenance — who produced it, who reused it
Linked to 18 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.
- Exosome-mediated delivery of miR-9 induces cancer-associated fib... 2016 · 302 cites
- Identification of Potential Crucial Genes and Key Pathways in Br... 2019 · 292 cites
- MiR-454-3p-Mediated Wnt/β-catenin Signaling Antagonists Suppress... 2019 · 177 cites
- Circular RNA hsa_circRNA_002178 silencing retards breast cancer... 2020 · 97 cites
- Cyclin D1 induction of Dicer governs microRNA processing and exp... 2013 · 74 cites
13 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