Analysis of mRNA profiles distinguishes proneural (PN) glioma stem cells (GSC) from mesenchymal (Mes) GSCs
Tumor heterogeneity of high-grade glioma (HGG) is recognized by four clinically relevant subtypes based on core gene signatures. However, molecular signaling in glioma stem cells (GSCs) in individual HGG subtypes is poorly characterized. Here we identified and characterized two mutually exclusive GSC subtypes with distinct dysregulated signaling pathways. Analysis of mRNA profiles distinguished proneural (PN) from mesenchymal (Mes) GSCs and revealed a pronounced correlation with the correspondin...
Provenance — who produced it, who reused it
Linked to 20 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.
- Apoptotic Cell-Derived Extracellular Vesicles Promote Malignancy... 2018 · 324 cites
- Phenotypic Plasticity of Invasive Edge Glioma Stem-like Cells in... 2019 · 217 cites
- NF1 regulates mesenchymal glioblastoma plasticity and aggressive... 2021 · 130 cites
- Targeting NEK2 attenuates glioblastoma growth and radioresistanc... 2017 · 101 cites
- Phenotypic Mapping of Pathologic Cross-Talk between Glioblastoma... 2020 · 93 cites
14 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