Evidence map›Paper›PMID 28160597›Full record

ArticleNucleic acids research2017

Efficient chromosomal-scale DNA looping in Escherichia coli using multiple DNA-looping elements.

Nan Hao, Kim Sneppen, Keith E Shearwin, Ian B Dodd

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 38% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Engineering 3D genome organization.Nature reviews. Genetics · 2021
    Review
  3. Article
  4. Article
  5. 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 at 2 institutions in 2 countries.

Nan HaoDepartment of Molecular and Cellular Biology, University of Adelaide, North Terrace, Adelaide SA 5005, Australia.
Kim SneppenNiels Bohr Institute, University of Copenhagen, Blegdamsvej 17, Copenhagen Ø 2100, Denmark.
Keith E ShearwinDepartment of Molecular and Cellular Biology, University of Adelaide, North Terrace, Adelaide SA 5005, Australia.
Ian B DoddDepartment of Molecular and Cellular Biology, University of Adelaide, North Terrace, Adelaide SA 5005, Australia.
The University of Adelaide · AUUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genes are frequently regulated by interactions between proteins that bind to the DNA near the gene and proteins that bind to DNA sites located far away, with the intervening DNA looped out. But it is not understood how efficient looping can occur when the sites are very far apart. We develop a simple theoretical framework that relates looping efficiency to the energetic cost and benefit of looping, allowing prediction of the efficiency of single or multiple nested loops at different distances. Measurements of absolute loop efficiencies for Lac repressor and λ CI using gene expression reporters in Escherichia coli cells show that, as predicted by the model, long-range DNA looping between a pair of sites can be strongly enhanced by the use of nested DNA loops or by the use of additional protein-binding sequences. A combination of these approaches was able to generate efficient DNA looping at a 200 kb distance.

Indexed as

DNA, BacterialNucleic Acid ConformationChromosomes, BacterialDNA-Binding ProteinsEscherichia coliEscherichia coli ProteinsLac RepressorsModels, GeneticProtein BindingRepressor ProteinsViral ProteinsDNA, BacterialDNA-Binding ProteinsEscherichia coli ProteinsLacI protein, E coliLac Repressorsrepressor protein C1, bacteriophageRepressor ProteinsViral Proteins

Identifiers

PMID28160597
PMCPMC5435920
OpenAlexW2585440028

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.