Nascent RNA sequencing reveals widespread pausing and divergent initiation at human promoters
RNA polymerases are highly regulated molecular machines. We present a method (GRO-seq) that maps the position, amount, and orientation of transcriptionally-engaged RNA polymerases genome-wide. In this method, nuclear run-on RNAs are subjected to large-scale parallel sequencing and mapped to the genome. Here, we show that peaks of promoter-proximal polymerase reside on ~30% of human genes, transcription extends beyond pre-mRNA 3’ cleavage, and antisense transcription is prevalent. Additionally,...
Provenance — who produced it, who reused it
Linked to 4 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.
- MacroH2A1.1 and PARP-1 cooperate to regulate transcription by pr... 2014 · 111 cites
- Sequence specificity incompletely defines the genome-wide occupa... 2014 · 83 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