Evidence map›Paper›PMID 21248844›Full record

ArticleNature2011

Nascent transcript sequencing visualizes transcription at nucleotide resolution.

L Stirling Churchman, Jonathan S Weissman

Abstract read
In one paragraph

Article in Nature, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 518 papers.

0numbers the graph read from it
0cells of the map it votes in
518citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

518 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. KAS-CUT&Tag for direct mapping of transcription bubbles.bioRxiv : the preprint server for biology · 2026
    Article
  10. Article
  11. RNAP-seq:bioRxiv : the preprint server for biology · 2026
    Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

458 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

L Stirling ChurchmanDepartment of Cellular and Molecular Pharmacology, Howard Hughes Medical Institute, University of California, San Francisco, USA.
Jonathan S Weissman

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Recent studies of transcription have revealed a level of complexity not previously appreciated even a few years ago, both in the intricate use of post-initiation control and the mass production of rapidly degraded transcripts. Dissection of these pathways requires strategies for precisely following transcripts as they are being produced. Here we present an approach (native elongating transcript sequencing, NET-seq), based on deep sequencing of 3' ends of nascent transcripts associated with RNA polymerase, to monitor transcription at nucleotide resolution. Application of NET-seq in Saccharomyces cerevisiae reveals that although promoters are generally capable of divergent transcription, the Rpd3S deacetylation complex enforces strong directionality to most promoters by suppressing antisense transcript initiation. Our studies also reveal pervasive polymerase pausing and backtracking throughout the body of transcripts. Average pause density shows prominent peaks at each of the first four nucleosomes, with the peak location occurring in good agreement with in vitro biophysical measurements. Thus, nucleosome-induced pausing represents a major barrier to transcriptional elongation in vivo.

Indexed as

DNA-Directed RNA PolymerasesHistone DeacetylasesNucleosomesNucleotidesPromoter Regions, GeneticRNA, FungalRNA, MessengerRNA StabilitySaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSequence AlignmentSequence Analysis, RNATranscription, GeneticDNA-Directed RNA PolymerasesHistone DeacetylasesNucleosomesNucleotidesRNA, FungalRNA, MessengerRPD3 protein, S cerevisiaeSaccharomyces cerevisiae Proteins

Identifiers

PMID21248844
PMCPMC3880149

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.