Single-Cell RNAseq analysis of diffuse neoplastic infiltrating cells at the migrating front of human glioblastoma
We used single-cell RNAseq to investigate the heterogeneity of glioblastoma tumors and assess differential expression between cells within and in proximity of the tumor.
Provenance — who produced it, who reused it
Linked to 47 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 practical guide to methods controlling false discoveries in co... 2019 · 470 cites
- Integrated Proteogenomic Characterization across Major Histologi... 2020 · 344 cites
- YTHDF2 orchestrates tumor-associated macrophage reprogramming an... 2023 · 218 cites
- Single-cell analyses reveal YAP/TAZ as regulators of stemness an... 2020 · 154 cites
- Spatial cellular architecture predicts prognosis in glioblastoma 2023 · 131 cites
- VEGA is an interpretable generative model for inferring biologic... 2021 · 106 cites
40 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.