Evidence map›Paper›PMID 40016460›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Analysis of Adherence Junctions in Rhinovirus-Infected Airway Epithelial Cells.

Kevin Looi, Liisa M Hirvonen, Anthony Kicic

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. 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. Review
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.

Kevin LooiWal-yan Respiratory Research Centre, The Kids Research Institute Australia, Nedlands, WA, Australia.
Liisa M HirvonenCentre for Microscopy, Characterisation and Analysis (CMCA), University of Western Australia, Crawley, WA, Australia.
Anthony KicicWal-yan Respiratory Research Centre, The Kids Research Institute Australia, Nedlands, WA, Australia. Anthony.Kicic@thekids.org.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The airway mucosal epithelium is the main gateway of entry for numerous human respiratory viruses, including human influenza virus, respiratory syncytial virus (RSV), coronavirus, and rhinoviruses (RV). For respiratory viruses to perpetuate infection, they must be able to traverse the airway mucosal epithelium and then spread into distal sites of the respiratory tract and lung parenchyma. However, this cellular interface has evolved well-developed apical junctional complexes (AJCs), including tight and adherens junctions, that bridge adjacent epithelial cells together. The resulting structure not only provides a strong physical barrier but also plays an active role in preventing and/or limiting the spread and dissemination of viral pathogens. Respiratory viruses, such as RVs, have been shown to target various components of these AJCs, either directly or indirectly, thus facilitating paracellular viral penetration, resulting in airway epithelial barrier dysfunction. Disruption of these AJCs may also result in unintended contact with hidden viral receptors, further enabling viral infection of the airway epithelium. Here we describe the various models of RV-infected airway epithelial cells and the methods used for the characterization and analysis of AJCs following RV infection.

Indexed as

Adherens JunctionsEpithelial CellsPicornaviridae InfectionsRespiratory MucosaRhinovirusAnimalsCell LineHumansTight JunctionsAdherens junctionsApical junctional complexBarrier disruptionConfocal microscopyEpithelial barrierEpithelial permeabilityIn-Cell Western™RhinovirusSuper-resolution microscopyTight junctionsTransepithelial electrical resistanceViral infection

Identifiers

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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.