Evidence map›Paper›PMID 25735747›Full record

ArticleNucleic acids research2015

The architecture of ArgR-DNA complexes at the genome-scale in Escherichia coli.

Suhyung Cho, Yoo-Bok Cho, Taek Jin Kang, Sun Chang Kim, Bernhard Palsson, Byung-Kwan Cho

Abstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Decoding the regulatory networks ofFrontiers in cellular and infection microbiology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. The Arginine Repressor ArgRMicrobiology spectrum · 2022
    Article
  12. The EcoCyc Database in 2021.Frontiers in microbiology · 2021
    Article
  13. l-Arginine sensing regulates virulence gene expression and disease progression in enteric pathogens.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  14. Competitive Repression of theFrontiers in microbiology · 2019
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Global transcriptional regulatory network forProceedings 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

6 authors.

Suhyung ChoDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Republic of Korea KI for the BioCentury, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Republic of Korea.
Yoo-Bok ChoDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Republic of Korea.
Taek Jin KangDepartment of Chemical and Biochemical Engineering, Dongguk University-Seoul, Seoul 100-715, Republic of Korea.
Sun Chang KimDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Republic of Korea KI for the BioCentury, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Republic of Korea.
Bernhard PalssonDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA Center for Biosustainability, Technical University of Denmark, Hørsholm, Denmark.
Byung-Kwan ChoDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Republic of Korea KI for the BioCentury, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Republic of Korea bcho@kaist.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA-binding motifs that are recognized by transcription factors (TFs) have been well studied; however, challenges remain in determining the in vivo architecture of TF-DNA complexes on a genome-scale. Here, we determined the in vivo architecture of Escherichia coli arginine repressor (ArgR)-DNA complexes using high-throughput sequencing of exonuclease-treated chromatin-immunoprecipitated DNA (ChIP-exo). The ChIP-exo has a unique peak-pair pattern indicating 5' and 3' ends of ArgR-binding region. We identified 62 ArgR-binding loci, which were classified into three groups, comprising single, double and triple peak-pairs. Each peak-pair has a unique 93 base pair (bp)-long (±2 bp) ArgR-binding sequence containing two ARG boxes (39 bp) and residual sequences. Moreover, the three ArgR-binding modes defined by the position of the two ARG boxes indicate that DNA bends centered between the pair of ARG boxes facilitate the non-specific contacts between ArgR subunits and the residual sequences. Additionally, our approach may also reveal other fundamental structural features of TF-DNA interactions that have implications for studying genome-scale transcriptional regulatory networks.

Indexed as

Base SequenceBinding SitesChromatin ImmunoprecipitationDNA, BacterialDNA-Directed RNA PolymerasesEscherichia coli K12Escherichia coli ProteinsGenome, BacterialHigh-Throughput Nucleotide SequencingMacromolecular SubstancesModels, MolecularMolecular Sequence DataProtein Structure, QuaternaryRepressor ProteinsArgR protein, E coliDNA, BacterialDNA-Directed RNA PolymerasesEscherichia coli ProteinsMacromolecular SubstancesRepressor Proteins

Identifiers

PMID25735747
PMCPMC4381063

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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.