Identification of conserved gene expression features across human and murine mammary tumors
Mice have been used as models for human breast cancers for many years, however, it is still unclear which murine models faithfully represent human tumor phenotypes. To address this question, we used DNA microarrays to characterize 10 different murine mammary models and compared these data to the expression patterns from primary human breast tumors. Hierarchical clustering analysis of the murine samples showed that the WAP-Myc, MMTV-Neu, MMTV-PyMT, WAP-Int3, and C3(1)-Tag tumors were highly corr...
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.
- Camera: a competitive gene set test accounting for inter-gene co... 2012 · 958 cites
- Transcriptomic classification of genetically engineered mouse mo... 2013 · 252 cites
- Wnt signaling in triple negative breast cancer is associated wit... 2013 · 251 cites
- Treg depletion potentiates checkpoint inhibition in claudin-low... 2017 · 142 cites
- Combined PI3K/mTOR and MEK Inhibition Provides Broad Antitumor A... 2012 · 136 cites
- Notch3 Functions as a Tumor Suppressor by Controlling Cellular S... 2013 · 108 cites
- A genomic analysis of mouse models of breast cancer reveals mole... 2014 · 83 cites
7 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