Reprogramming Transcriptional Responses through Functionally-Distinct Classes of Enhancers in Prostate Cancer Cells [ChIP-Seq, Gro-Seq]
Mammalian genomes are populated with thousands of transcriptional enhancers that orchestrate cell type-specific gene expression programs; however, the potential that there are pre-established enhancers in different functional classes that permit alternative signal-dependent transcriptional responses has remained unexplored. Here we present evidence that cell lineage-specific factors, such as FoxA1, can simultaneously facilitate and restrict key regulated transcription factors, exemplified by the...
Provenance — who produced it, who reused it
Linked to 10 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.
- Comprehensive Functional Annotation of 77 Prostate Cancer Risk L... 2014 · 196 cites
- Targeting chromatin binding regulation of constitutively active... 2015 · 151 cites
- Synergistic action of master transcription factors controls epit... 2016 · 126 cites
- Acetylated histone variant H2A.Z is involved in the activation o... 2017 · 93 cites
- Multiple novel prostate cancer susceptibility signals identified... 2015 · 84 cites
- Identification of candidate genes for prostate cancer-risk SNPs... 2015 · 76 cites
4 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