Dynamic epigenetic enhancer signatures are predictive for key transcriptional regulators associated with cellular differentiation states
Cellular differentiation is orchestrated by lineage-specific transcription factors and associates with cell type-specific epigenetic signatures. Here, we utilized stage-specific, epigenetic "fingerprints" to deduce key transcriptional regulators of a cellular differentiation process. In the model of human macrophage differentiation, we globally mapped the distribution of epigenetic enhancer marks (histone H3 lysine 4 monomethylation, histone H3 lysine 27 acetylation, and the histone variant H2AZ...
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.
- A common haplotype lowers PU.1 expression in myeloid cells and d... 2017 · 471 cites
- PU.1 target genes undergo Tet2-coupled demethylation and DNMT3b-... 2013 · 213 cites
- Inflammation-sensitive super enhancers form domains of coordinat... 2015 · 205 cites
- SUPERGNOVA: local genetic correlation analysis reveals heterogen... 2021 · 195 cites
1 further paper cites this accession but reuse could not be confirmed.
Deep data QC
insufficient data to scoreStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
The insufficient grade is a transparent weighted average. Each metric below scored from 0–100% against the published ChIP-seq thresholds, weighted by its importance; nothing is hidden or subjective.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0