Corpus 1,285 assessed · 1,186 scored · 647 reproduced ≥75 · 174 flagged ·∅ 73.9/100
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GSE110501

GEO first seen 2021

Single-cell transcriptome analyses reveal endothelial cell heterogeneity in tumors and changes following anti-angiogenic treatment

Organism
Homo sapiens; Mus musculus
Samples
16
Type
Expression profiling by high...
Submitted
2018-02-12

To understand tumor stromal cell heterogeneity focusing on tumor endothelial cells and tumor-associated fibroblasts, we isolated single cells from COLO205 tumor xenograft grown sub-cutaneously in SCID mice. To enrich stromal cell content, we removed vast majority of tumor cells by a depletion protocol using anti-CD24 and anti-E-Cadherin antibodies. The remaining single cells were profiled by single cell RNAseq

Provenance — who produced it, who reused it

Linked to 2 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.

Deposited / produced by
Gavin Thurston
Reused by

Deep data QC

metadata only · no data-level QC for this type

Standardized, 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.

QC cost 22 s compute

measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently