Corpus 1,272 assessed · 1,173 scored · 643 reproduced ≥75 · 168 flagged ·∅ 74.1/100
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GSE3307

GEO first seen 2014

Comparative profiling in 13 muscle disease groups

Organism
Homo sapiens
Samples
242
Type
Expression profiling by arra...
Submitted
2005-09-14

Summary: Genetic disorders of muscle cause muscular dystrophy, and are some of the most common inborn errors of metabolism. Muscle also rapidly remodels in response to training and innervation. Muscle weakness and wasting is important in such conditions as aging, critical care medicine, space flight, and diabetes. Finally, muscle can also be used to investigate systemic defects, and the compensatory mechansisms invoked by cells to overcome biochemical and genetic abnormalities. Here, we provid...

Provenance — who produced it, who reused it

Linked to 23 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.

Reused by

21 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

Data type / assay
microarray-expr
Organism
Homo sapiens
Read type
not sequencing
Files available
CEL
Metrics (value · how obtained)
supplementary file types CEL reported
QC cost 7 s compute

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