Evidence map›Paper›PMID 28052345›Full record

ReviewBioEssays : news and reviews in molecular, cellular and developmental biology2017

Open complex DNA scrunching: A key to transcription start site selection and promoter escape.

Jared T Winkelman, Richard L Gourse

Abstract readReview
In one paragraph

Review in BioEssays : news and reviews in molecular, cellular and developmental biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Genome-wide promoter assembly inGenome research · 2022
    Article
  5. Structural and mechanistic basis of reiterative transcription initiation.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  6. Review
  7. Article
  8. The Phage-EncodedViruses · 2020
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. 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

2 authors.

Jared T WinkelmanDepartment of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA.
Richard L GourseDepartment of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA.

Funding

Mechanism, Activation, and Control of rRNA TranscriptionR37GM037048 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI GOURSE, RICHARD L. · 2007 to 2016
$6.6M
MEDCHANISM, ACTIVATION, &CONTROL OF RRNA TRANSCRIPTIONR01GM037048 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI GOURSE, RICHARD L. · 1986 to 2020
$5.9M
NIGMS NIH HHS R01 GM037048NIGMS NIH HHS R37 GM037048
6 · The paper itself

Abstract

Bacterial RNA polymerase-promoter open complexes can exist in a range of states in which the leading edge of the enzyme moves but the trailing edge does not, a phenomenon we refer to as "open complex scrunching." Here we describe how open complex scrunching can determine the position of the transcription start site for some promoters, modulate the level of expression, and potentially could be targeted by factors to regulate transcription. We suggest that open complex scrunching at the extraordinarily active ribosomal RNA promoters might have evolved to initiate transcription at an unusual position relative to the core promoter elements in order to maximize the rate of promoter escape.

Indexed as

Promoter Regions, GeneticTranscription Initiation SiteDNA-Directed RNA PolymerasesEscherichia coliEscherichia coli ProteinsDNA-Directed RNA PolymerasesEscherichia coli Proteinspromoterpromoter escapeRNA polymerasescrunchingtranscription initiationtranscription start site selection

Identifiers

PMID28052345
PMCPMC5313389

What OpenQuestion holds

Textmetadata
LicenceTDM
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.