Corpus 1,283 assessed · 1,184 scored · 647 reproduced ≥75 · 173 flagged ·∅ 73.9/100
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GSE83474

GEO first seen 2017

Biotin tagging of MeCP2 reveals contextual insights into the Rett syndrome transcriptome

Organism
Mus musculus
Samples
46
Type
Expression profiling by high...
Submitted
2016-06-17

Mutations in MECP2 cause Rett syndrome (RTT), a X-linked neurological disorder characterized by the regressive loss of neurodevelopmental milestones and acquired intellectual disability and motor impairments. However, the cellular heterogeneity of the mammalian brain impedes our understanding of how MECP2 mutations disrupt neuronal function and contribute to RTT. In response, we developed cell type-specific biotin tagging in mice bearing RTT-associated mutations and profiled nuclear transcriptom...

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
Zhaolan ZhouBrian S JohnsonYing-Tao ZhaoMaria D Fasolino
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