Evidence map›Paper›PMID 29760214›Full record

ArticleInfection and immunity2018

YopN Is Required for Efficient Effector Translocation and Virulence in Yersinia pseudotuberculosis.

Sarp Bamyaci, Sofie Ekestubbe, Roland Nordfelth, Saskia F Erttmann, Tomas Edgren, Åke Forsberg

Open access · bronzeAbstract read
In one paragraph

Article in Infection and immunity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. BopN is a Gatekeeper of theMicrobiology spectrum · 2023
    Article
  3. Article
  4. 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.

Sarp Bamyaci *Department of Molecular Biology, Umeå Centre for Microbial Research UCMR, Umeå University, Umeå, Sweden.
Sofie Ekestubbe *Department of Molecular Biology, Umeå Centre for Microbial Research UCMR, Umeå University, Umeå, Sweden.
Roland NordfelthDepartment of Molecular Biology, Umeå Centre for Microbial Research UCMR, Umeå University, Umeå, Sweden.
Saskia F ErttmannDepartment of Molecular Biology, Umeå Centre for Microbial Research UCMR, Umeå University, Umeå, Sweden.
Tomas EdgrenDepartment of Molecular Biology, Umeå Centre for Microbial Research UCMR, Umeå University, Umeå, Sweden.
Åke ForsbergDepartment of Molecular Biology, Umeå Centre for Microbial Research UCMR, Umeå University, Umeå, Sweden ake.forsberg@umu.se.
Umeå University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type III secretion systems (T3SSs) are used by various Gram-negative pathogens to subvert the host defense by a host cell contact-dependent mechanism to secrete and translocate virulence effectors. While the effectors differ between pathogens and determine the pathogenic life style, the overall mechanism of secretion and translocation is conserved. T3SSs are regulated at multiple levels, and some secreted substrates have also been shown to function in regulation. In

Indexed as

AnimalsBacterial Outer Membrane ProteinsBacterial ProteinsCell LineHumansImmune EvasionMacrophagesMembrane ProteinsMiceMutant ProteinsPhagocytosisProtein TransportProtein Tyrosine PhosphatasesSequence DeletionType III Secretion SystemsVirulenceBacterial Outer Membrane ProteinsBacterial ProteinsMembrane ProteinsMutant ProteinsProtein Tyrosine PhosphatasesType III Secretion SystemsVirulence FactorsyopE protein, YersiniayopH protein, YersiniaYopN protein, Yersiniaphagocytosistype III secretionvirulenceYersiniaYopN

Identifiers

PMID29760214
PMCPMC6056859
OpenAlexW2602329336

What OpenQuestion holds

Textmetadata
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.