RNA-Chromatin Interactome Reveals Enhancer-Promoter Connectivity in 3D Genome
High eukaryotic genomes are populated with enhancers, but it has been a major challenge in defining specific enhancer-promoter relationship. Enhancers can also be divided into typical and super-enhancers, yet their functional distinctions remain to be understood. Here, we report a strategy to capture in situ Global RNA Interactions with DNA by deep sequencing (GRID-seq). By deducing general RNA background on chromatin, we unexpectedly detect a highly selective set of RNAs (including both lncRNAs...
Provenance — who produced it, who reused it
Linked to 6 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.
- Detection of RNA–DNA binding sites in long noncoding RNAs 2019 · 189 cites
- Chromatin-associated RNA sequencing (ChAR-seq) maps genome-wide... 2018 · 169 cites
3 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