Evidence map›Paper›PMID 27524295›Full record

ArticleCell chemical biology2016

Basis of Mutual Domain Inhibition in a Bacterial Response Regulator.

Fernando Corrêa, Kevin H Gardner

Abstract read
In one paragraph

Article in Cell chemical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  5. Article
  6. Structure of phosphorylated-like RssB, the adaptor delivering σThe Journal of biological chemistry · 2023
    Article
  7. Review
  8. Article
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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.

Fernando CorrêaStructural Biology Initiative, CUNY Advanced Science Research Center, New York, NY 10031, USA.
Kevin H GardnerStructural Biology Initiative, CUNY Advanced Science Research Center, New York, NY 10031, USA; Department of Chemistry and Biochemistry, City College of New York, New York, NY 10031, USA; Biochemistry, Chemistry and Biology PhD Programs, Graduate Center, The City University of New York, New York, NY 10016, USA. Electronic address: kevin.gardner@asrc.cuny.edu.

Funding

Summer Undergraduate Research Support - Ms. Anastasiia FisiukR01GM106239 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI GARDNER, KEVIN H · 2013 to 2024
$4.5M
NIGMS NIH HHS R01 GM106239
6 · The paper itself

Abstract

Information transmission in biological signaling networks is commonly considered to be a unidirectional flow of information between protein partners. According to this view, many bacterial response regulator proteins utilize input receiver (REC) domains to "switch" functional outputs, using REC phosphorylation to shift pre-existing equilibria between inactive and active conformations. However, recent data indicate that output domains themselves also shift such equilibria, implying a "mutual inhibition" model. Here we use solution nuclear magnetic resonance to provide a mechanistic basis for such control in a PhyR-type response regulator. Our structure of the isolated, non-phosphorylated REC domain surprisingly reveals a fully active conformation, letting us identify structural and dynamic changes imparted by the output domain to inactivate the full-length protein. Additional data reveal transient structural changes within the full-length protein, facilitating activation. Our data provide a basis for understanding the changes that REC and output domains undergo to set a default "inactive" state.

Indexed as

Bacterial ProteinsModels, MolecularNuclear Magnetic Resonance, BiomolecularPhosphorylationProtein ConformationSignal TransductionSphingomonadaceaeBacterial Proteins

Identifiers

PMID27524295
PMCPMC5159254

What OpenQuestion holds

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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.