Corpus 1,284 assessed · 1,185 scored · 647 reproduced ≥75 · 173 flagged ·∅ 73.9/100
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GSE76097

GEO first seen 2017

In vivo analysis of astrocyte ribosome-associated mRNA after traumatic spinal cord injury

Organism
Mus musculus
Samples
22
Type
Expression profiling by high...
Submitted
2015-12-17

Analysis of gene expression by astrocytes or non-astrocyte cells in spinal cord injury (SCI) lesions may lead to the identification of molecules that impact on axon regrowth. We conducted genome-wide RNA sequencing of (i) immunoprecipitated astrocyte-specific ribosome-associated RNA (ramRNA) from WT or STAT3-CKO astrocytes, and (ii) the non-precipitated (flow-through) RNA deriving from non-astrocyte cells in the same tissue samples 14 days following SCI. DOI: 10.1038/nature17623

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
Joshua E BurdaMark A AndersonYilong RenTimothy M O'SheaRiki KawaguchiGiovanni CoppolaBaljit S KhakhTimothy J DemingMichael V Sofroniew
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