Corpus 1,276 assessed · 1,177 scored · 644 reproduced ≥75 · 170 flagged ·∅ 74/100
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GSE8762

GEO first seen 2012

Lymphocyte gene expression data from moderate stage HD patients and controls

Organism
Homo sapiens
Samples
22
Type
Expression profiling by arra...
Submitted
2007-08-13

Highly quantitative biomarkers of neurodegenerative disease remain an important need in the urgent quest for disease modifying therapies. For Huntington's disease (HD), a genetic test is available (trait marker), but necessary state markers are still in development. In this report, we describe a large battery of transcriptomic tests explored as state biomarker candidates. In an attempt to exploit the known neuroinflammatory and transcriptional perturbations of disease, we measured relevant mRNAs...

Provenance — who produced it, who reused it

Linked to 11 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
Heike RunneAlexandre KuhnEdward J WildWirahpati PratyakshaMark KristiansenJeremy D IsaacsEtienne RégulierMauro DelorenziSarah J TabriziRuth Luthi-Carter
Reused by

7 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