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DERBY BBSRC RET Study: Impact of resistance exercise on human skeletal muscle gene expression
The aim of this work was to produce a molecular signature of human muscle responses to supervised resistance training and examine how such a profile relates to established aerobic exercise adaptation gene networks.
Provenance — who produced it, who reused it
Linked to 12 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
Bethan E PhillipsJames A Timmons
Reused by
- A novel multi-tissue RNA diagnostic of healthy ageing relates to... 2015 · 248 cites
- Machine Learning on Human Muscle Transcriptomic Data for Biomark... 2018 · 224 cites
9 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, 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
1 s compute
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently