Corpus 1,272 assessed · 1,173 scored · 643 reproduced ≥75 · 168 flagged ·∅ 74.1/100
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GSE69405

GEO first seen 2015

Single-cell RNA sequencing of lung adenocarcinoma patient-derived cells

Organism
Homo sapiens
Samples
208
Type
Expression profiling by high...
Submitted
2015-05-31

To address how intratumoral heterogeneity affects anti-cancer drug responses, we profiled transcriptomes of single cancer cells originating from lung adenocarcinoma patient-derived xenograft (PDX) tumors.

Provenance — who produced it, who reused it

Linked to 13 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
Kyu-Tae KimHye W LeeHae-Ock LeeKyeung M JooWoong-Yang Park
Reused by

8 further papers cite this accession but reuse could not be confirmed.

Deep data QC

100/100 · A

Standardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured

Data type / assay
bulk-RNA-seq
Organism
Homo sapiens
Metrics (value · how obtained)
n content pct 0.001 measured
pct q20 bases 96.4 measured
pct q30 bases 92.2 measured
gc content pct 43.1 measured
mean read length 100 measured
mean base quality 35.8 measured
adapter content pct 1.58 measured
duplication rate pct 14.35 measured
How this grade was computed
Weighted mean of 4 scored metric(s) → 100/100

The A grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq thresholds, weighted by its importance; nothing is hidden or subjective.

pct q30 bases 92.2 measured ×1 100%
mean base quality 35.8 measured ×0.6 100%
adapter content pct 1.58 measured ×0.4 100%
duplication rate pct 14.35 measured ×0.4 100%
QC cost 36 s compute

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