GSE131907

Single cell RNA sequencing of lung adenocarcinoma

We performed single cell RNA sequencing (scRNA-seq) for 208,506 cells derived from 58 lung adenocarcinomas from 44 patients, which covers primary tumour, lymph node and brain metastases, and pleural effusion in addition to normal lung tissues and lymph nodes. The extensive single cell profiles depicted a complex cellular atlas of lung adenocarcinoma progression which includes cancer, stromal, and immune cells in the surrounding tumor microenvironments.

Provenance — who produced it, who reused it

Linked to 108 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.

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.

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.

• iBRIDGE: A Data Integration Method to Identify Inflamed Tumo... L1 94/100
• A global database for modeling tumor-immune cell communicati... L1 66/100