Corpus 1,284 assessed · 1,185 scored · 647 reproduced ≥75 · 173 flagged ·∅ 73.9/100
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GSE115661

GEO first seen 2019

RNA Sequencing to Identify Regulators of Axon Regeneration in Mouse Retinal Ganglion Cells

Organism
Mus musculus
Samples
12
Type
Expression profiling by high...
Submitted
2018-06-12

Purpose: The goals of this study are to identify the transcriptional profile of retinal ganglion cells (RGCs) with the capacity to regenerate an axon, and contrast this profile with the profile of RGCs that cannot regenerate an axon. Methods: See sample pages for protocols for tissue preparation, RNA extraction and purification, library construction and data processing. Results: RNA from the 12 samples was sequenced to an average depth of 42 million reads. Genes were considered expressed if a...

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
Eric R BrayKevin K Park
Reused by

1 further paper cites 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 22 s compute

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