Corpus 1,284 assessed · 1,185 scored · 647 reproduced ≥75 · 173 flagged ·∅ 73.9/100
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GSE115713

GEO first seen 2021

The RNA exosome contributes to gene expression regulation during stem cell differentiation [PRO-Seq]

Organism
Mus musculus
Samples
8
Type
Expression profiling by high...
Submitted
2018-06-12

Gene expression programs change during cellular transitions. It is well established that a network of transcription factors and chromatin modifiers regulate RNA levels during embryonic stem cell (ESC) differentiation, but the full impact of post-transcriptional processes remains elusive. While cytoplasmic RNA turnover mechanisms have been implicated in differentiation, the contribution of nuclear RNA decay has not been investigated. Here, we differentiate mouse ESCs, depleted for the ribonucleol...

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
Marta Lloret-LlinaresEvdoxia KaradoulamaYun ChenLuke WojenskiGeno VillafanoJette BornholdtRobin AnderssonLeighton CoreAlbin SandelinTorben H Jensen
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 23 s compute

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