Evidence map›Paper›PMID 27428627›Full record

ArticlePloS one2016

Identification of Preferred DNA-Binding Sites for the Thermus thermophilus Transcriptional Regulator SbtR by the Combinatorial Approach REPSA.

Michael W Van Dyke, Matthew D Beyer, Emily Clay, Kamir J Hiam, Jonathan L McMurry, Ying Xie

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Discovering the DNA-Binding Consensus of theInternational journal of molecular sciences · 2021
    Article
  5. Review
  6. Determination and Dissection of DNA-Binding Specificity for theInternational journal of molecular sciences · 2020
    Article
  7. Article
  8. Identification and Characterization of Preferred DNA-Binding Sites for theInternational journal of molecular sciences · 2019
    Article
  9. 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 at 1 institution in 1 country.

Michael W Van DykeDepartment of Chemistry and Biochemistry, Kennesaw State University, Kennesaw, Georgia, United States of America.ORCID http://orcid.org/0000-0003-0306-4002
Matthew D BeyerDepartment of Chemistry and Biochemistry, Kennesaw State University, Kennesaw, Georgia, United States of America.
Emily ClayDepartment of Chemistry and Biochemistry, Kennesaw State University, Kennesaw, Georgia, United States of America.
Kamir J HiamDepartment of Chemistry and Biochemistry, Kennesaw State University, Kennesaw, Georgia, United States of America.
Jonathan L McMurryDepartment of Molecular and Cellular Biology, Kennesaw State University, Kennesaw, Georgia, United States of America.
Ying XieDepartment of Computer Science, Kennesaw State University, Kennesaw, Georgia, United States of America.
Kennesaw State University · US

Funding

DNA-Binding Protein Discovery by the Combinatorial Method REPSAR15GM104833 · NIGMS · KENNESAW STATE UNIVERSITY · PI VAN DYKE, MICHAEL W · 2013 to 2013
$270k
NIGMS NIH HHS R15 GM104833
6 · The paper itself

Abstract

One of the first steps towards elucidating the biological function of a putative transcriptional regulator is to ascertain its preferred DNA-binding sequences. This may be rapidly and effectively achieved through the application of a combinatorial approach, one involving very large numbers of randomized oligonucleotides and reiterative selection and amplification steps to enrich for high-affinity nucleic acid-binding sequences. Previously, we had developed the novel combinatorial approach Restriction Endonuclease Protection, Selection and Amplification (REPSA), which relies not on the physical separation of ligand-nucleic acid complexes but instead selects on the basis of ligand-dependent inhibition of enzymatic template inactivation, specifically cleavage by type IIS restriction endonucleases. Thus, no prior knowledge of the ligand is required for REPSA, making it more amenable for discovery purposes. Here we describe using REPSA, massively parallel sequencing, and bioinformatics to identify the preferred DNA-binding sites for the transcriptional regulator SbtR, encoded by the TTHA0167 gene from the model extreme thermophile Thermus thermophilus HB8. From the resulting position weight matrix, we can identify multiple operons potentially regulated by SbtR and postulate a biological role for this protein in regulating extracellular transport processes. Our study provides a proof-of-concept for the application of REPSA for the identification of preferred DNA-binding sites for orphan transcriptional regulators and a first step towards determining their possible biological roles.

Indexed as

Gene Expression Regulation, BacterialTranscription, GeneticBacterial ProteinsBinding SitesBiological TransportDeoxyribonucleases, Type II Site-SpecificDNA-Binding ProteinsGene OntologyMolecular Sequence AnnotationNucleic Acid Amplification TechniquesNucleotide MotifsOperonProtein BindingThermus thermophilusBacterial ProteinsDeoxyribonucleases, Type II Site-SpecificDNA-Binding Proteins

Identifiers

PMID27428627
PMCPMC4948773
OpenAlexW2486105202

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.