Evidence map›Paper›PMID 29042496›Full record

ArticlemBio2017

Structural Basis of Type 2 Secretion System Engagement between the Inner and Outer Bacterial Membranes.

Iain D Hay, Matthew J Belousoff, Trevor Lithgow

Open access · goldAbstract read
In one paragraph

Article in mBio, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

30 citing papers in PubMed, 54 citations in OpenAlex.

  1. Predicting membrane protein localization by deep learning on structure and chemistry.Protein science : a publication of the Protein Society · 2026
    Article
  2. Structural and functional insights into Pseudomonas aeruginosa's secretion systems 1-6: regulation, role in microbial keratitis and drug targets.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Review
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  15. Bacterial secretins: Mechanisms of assembly and membrane targeting.Protein science : a publication of the Protein Society · 2020
    Review
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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

3 authors at 1 institution in 1 country.

Iain D HayInfection and Immunity Program, Biomedicine Discovery Institute and Department of Microbiology, Monash University, Clayton, Australia.
Matthew J BelousoffInfection and Immunity Program, Biomedicine Discovery Institute and Department of Microbiology, Monash University, Clayton, Australia.
Trevor LithgowInfection and Immunity Program, Biomedicine Discovery Institute and Department of Microbiology, Monash University, Clayton, Australia trevor.lithgow@monash.edu.
Australian Regenerative Medicine Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sophisticated nanomachines are used by bacteria for protein secretion. In Gram-negative bacteria, the type 2 secretion system (T2SS) is composed of a pseudopilus assembly platform in the inner membrane and a secretin complex in the outer membrane. The engagement of these two megadalton-sized complexes is required in order to secrete toxins, effectors, and hydrolytic enzymes.

Indexed as

Bacterial ProteinsCryoelectron MicroscopyMembrane ProteinsMembrane Transport ProteinsModels, MolecularProtein BindingProtein MultimerizationPseudomonas aeruginosaType II Secretion SystemsBacterial ProteinsMembrane ProteinsMembrane Transport ProteinsType II Secretion SystemsXcpP protein, Pseudomonas aeruginosaXcpQ protein, Pseudomonas aeruginosaprotein secretionprotein secretion systemPseudomonas aeruginosasecretinT2SS

Identifiers

PMID29042496
PMCPMC5646249
OpenAlexW2765481851

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.