Evidence map›Paper›PMID 30488778›Full record

ArticleVirulence2019

Identification of specific sequence motif of YopN of Yersinia pseudotuberculosis required for systemic infection.

Sarp Bamyaci, Roland Nordfelth, Åke Forsberg

Abstract read
In one paragraph

Article in Virulence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Sarp Bamyacia Department of Molecular Biology, Umeå Centre for Microbial Research UCMR , Umeå University , Umeå , Sweden.
Roland Nordfeltha Department of Molecular Biology, Umeå Centre for Microbial Research UCMR , Umeå University , Umeå , Sweden.
Åke Forsberga Department of Molecular Biology, Umeå Centre for Microbial Research UCMR , Umeå University , Umeå , Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type III secretion systems (T3SSs) are tightly regulated key virulence mechanisms shared by many Gram-negative pathogens. YopN, one of the substrates, is also crucial in regulation of expression, secretion and activation of the T3SS of pathogenic Yersinia species. Interestingly, YopN itself is also targeted into host cells but so far no activity or direct role for YopN inside host cells has been described. Recently, we were able show that the central region of YopN is required for efficient translocation of YopH and YopE into host cells. This was also shown to impact the ability of Yersinia to block phagocytosis. One difficulty in studying YopN is to generate mutants that are not impaired in regulation of the T3SS. In this study we extended our previous work and were able to generate specific mutants within the central region of YopN. These mutants were predicted to be crucial for formation of a putative coiled-coil domain (CCD). Similar to the previously described deletion mutant of the central region, these mutants were all impaired in translocation of YopE and YopH. Interestingly, these YopN variants were not translocated into host cells. Importantly, when these mutants were introduced in cis on the virulence plasmid, they retained full regulatory function of T3SS expression and secretion. This allowed us to evaluate one of the mutants, yopN

Indexed as

Amino Acid MotifsAnimalsBacterial ProteinsBiological TransportFemaleGene Expression Regulation, BacterialMembrane ProteinsMiceMice, Inbred BALB CPhagocytosisType III Secretion SystemsVirulenceYersinia pseudotuberculosisYersinia pseudotuberculosis InfectionsBacterial ProteinsMembrane ProteinsType III Secretion SystemsYopN protein, Yersiniamouse infectionT3SSvirulenceYersiniaYopN

Identifiers

PMID30488778
PMCPMC6298760

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Registered trials

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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.