Genome-wide identification of enhancers in skeletal muscle
In an effort to identify the compendium of regulatory elements that govern myogenic differentiation, we generated chromatin state maps based on the recruitment of factors (p300 and PolII) and histone modifications (H3K4me1, H3K27ac) that typify enhancers in myoblasts and myotubes. We found a remarkable concordance between the location of these newly defined, active enhancers and MyoD1 binding events. In addition, we found a striking association between the position of enhancers and RNA polymeras...
Provenance — who produced it, who reused it
Linked to 5 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.
- Glucose Metabolism Drives Histone Acetylation Landscape Transiti... 2019 · 160 cites
- TEAD transcription factors are required for normal primary myobl... 2017 · 82 cites
- Exercise protects proliferative muscle satellite cells against e... 2020 · 81 cites
2 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
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.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently