Ovarian Cancer gene expression profiling identifies the surface of the ovary as a stem cell niche
In contrast to epithelial derived carcinomas that arise in most human organs, ovarian surface epithelial cells become more rather than less differentiated as the malignancy progresses. To test the hypothesis that ovarian surface epithelial cells retain properties of relatively uncommitted pluripotent cells until undergoing neoplastic transformation, we conducted gene expression profiling analysis (Affymetrix, U133 Plus 2.0) of 12 ovarian surface epithelial cells and 12 laser capture microdissect...
Provenance — who produced it, who reused it
Linked to 84 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.
- Functional genomics identifies five distinct molecular subtypes... 2013 · 291 cites
- Gene regulatory network inference: evaluation and application to... 2012 · 164 cites
- The RNA-binding protein LARP1 is a post-transcriptional regulato... 2015 · 163 cites
- Identification of significant genes with poor prognosis in ovari... 2019 · 157 cites
- <scp>FAM</scp>83 family oncogenes are broadly involved in human... 2017 · 128 cites
- The RNA binding protein SORBS2 suppresses metastatic colonizatio... 2018 · 96 cites
- The RNA-Binding Protein CELF2 Inhibits Ovarian Cancer Progressio... 2020 · 93 cites
- A Systems Approach to Predict Oncometabolites via Context-Specif... 2014 · 76 cites
- Epithelial tumor suppressor ELF3 is a lineage-specific amplified... 2019 · 71 cites
71 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
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently