Corpus 1,282 assessed · 1,183 scored · 647 reproduced ≥75 · 172 flagged ·∅ 74/100
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GSE149715

GEO first seen 2020

Mouse retinal cell atlas: molecular identification of sixty-three amacrine cell types

Organism
Mus musculus
Samples
10
Type
Expression profiling by high...
Submitted
2020-05-01

Amacrine cells (ACs) are a diverse class of interneurons that modulate input from photoreceptors to retinal ganglion cells (RGCs), rendering each RGC type selectively sensitive to particular visual features, which are then relayed to the brain. While many AC types have been identified morphologically and physiologically, they have not been comprehensively classified or molecularly characterized. We used high-throughput single-cell RNA sequencing (scRNA-seq) to profile >32,000 ACs from mice of bo...

Provenance — who produced it, who reused it

Linked to 3 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
Wenjun YanMallory A LaboulayeNicholas M TranIrene E WhitneyInbal BenharJoshua R Sanes
Reused by

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

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 23 s compute

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