Evidence map›Paper›PMID 28129043›Full record

ArticleTranscription2017

Directing traffic on DNA-How transcription factors relieve or induce transcriptional interference.

Nan Hao, Adam C Palmer, Ian B Dodd, Keith E Shearwin

Abstract read
In one paragraph

Article in Transcription, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
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  5. Article
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  9. Article
  10. Quantitative modelling predicts the impact of DNA methylation on RNA polymerase II traffic.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  11. The constrained architecture of mammalianProceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  12. Article
  13. Article
  14. Article
  15. Disease onset in X-linked dystonia-parkinsonism correlates with expansion of a hexameric repeat within an SVA retrotransposon inProceedings of the National Academy of Sciences of the United States of America · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Nan Haoa Department of Molecular and Cellular Biology , School of Biological Sciences, University of Adelaide , Adelaide , SA , Australia.
Adam C Palmerb Department of Systems Biology , Harvard Medical School , Boston , MA , USA.
Ian B Dodda Department of Molecular and Cellular Biology , School of Biological Sciences, University of Adelaide , Adelaide , SA , Australia.
Keith E Shearwina Department of Molecular and Cellular Biology , School of Biological Sciences, University of Adelaide , Adelaide , SA , Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptional interference (TI) is increasingly recognized as a widespread mechanism of gene control, particularly given the pervasive nature of transcription, both sense and antisense, across all kingdoms of life. Here, we discuss how transcription factor binding kinetics strongly influence the ability of a transcription factor to relieve or induce TI.

Indexed as

Transcription, GeneticAnimalsBacterial ProteinsDNADNA-Directed RNA PolymerasesDrosophilaListeria monocytogenesModels, MolecularPhosphoglycerate DehydrogenasePromoter Regions, GeneticSaccharomyces cerevisiae ProteinsSaccharomycetalesTranscription FactorsBacterial ProteinsDNADNA-Directed RNA PolymerasesPhosphoglycerate DehydrogenaseSaccharomyces cerevisiae ProteinsSER3 protein, S cerevisiaeTranscription Factorsconvergent promotersdislodgementDNA-binding kineticsroadblocktranscriptional interference

Identifiers

PMID28129043
PMCPMC5423467

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.