Genome-wide dynamics of Pol II elongation and its interplay with promoter proximal pausing, chromatin, and exons
Production of mRNA depends critically on the rate of RNA polymerase II (Pol II) elongation. To dissect Pol II dynamics in mouse ES cells, we inhibited Pol II transcription at either initiation or promoter-proximal pause escape with Triptolide or Flavopiridol, and tracked Pol II kinetically using GRO-seq. Both inhibitors block transcription of more than 95% of genes, showing that pause escape, like initiation, is a ubiquitous and crucial step within the transcription cycle. Moreover, paused Pol I...
Provenance — who produced it, who reused it
Linked to 11 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.
- Higher-Order Inter-chromosomal Hubs Shape 3D Genome Organization... 2018 · 951 cites
- Integrated spatial genomics reveals global architecture of singl... 2021 · 439 cites
- RNA promotes the formation of spatial compartments in the nucleu... 2021 · 386 cites
- R-Loops Enhance Polycomb Repression at a Subset of Developmental... 2019 · 122 cites
- Genome-wide kinetic properties of transcriptional bursting in mo... 2020 · 116 cites
- Intragenic Enhancers Attenuate Host Gene Expression 2017 · 100 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
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.