Host-Pathogen Interactions: What the EHEC Are We Learning from Host Genome-Wide Screens?

Jason P Lynch, Cammie F Lesser

Abstract readComment

In one paragraph

Article in mBio, 2018. 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.

A Re-evaluation of the Taxonomy and Classification of the Type III Secretion System in a Pathogenic Bacterium Causing Soft Rot Disease of Pleurotus eryngii.Current microbiology · 2021
Article

4 · The record

Corrections and comments

Comment on
CRISPR Screen Reveals that EHEC's T3SS and Shiga Toxin Rely on Shared Host Factors for Infection.2018

5 · Who and what money

Authors and funding

2 authors.

Jason P LynchDepartment of Medicine, Division of Infectious Diseases, Massachusetts General Hospital, Cambridge, Massachusetts, USA.

Cammie F LesserDepartment of Medicine, Division of Infectious Diseases, Massachusetts General Hospital, Cambridge, Massachusetts, USA CLESSER@mgh.harvard.edu.

Funding

Modeling mechanisms of Shigella pathogenesis in yeastR01AI064285 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI LESSER, CAMMIE · 2006 to 2017

$4.0M

NIAID NIH HHS R01 AI064285

6 · The paper itself

Abstract

Several genome-wide screens have been conducted to identify host cell factors involved in the pathogenesis of bacterial pathogens whose virulence is dependent on type III secretion systems (T3SSs), nanomachines responsible for the translocation of proteins into host cells. In the most recent of these, Pacheco et al. (mBio 9:e01003-18, 2018, http://mbio.asm.org/content/9/3/e01003-18.full) screened a genome-wide CRISPR/Cas9 (clustered regularly interspaced short palindromic repeats with Cas9) knockout library for host proteins involved in the pathogenesis of enterohemorrhagic

Indexed as

Shiga ToxinClustered Regularly Interspaced Short Palindromic RepeatsEnterohemorrhagic Escherichia coliType III Secretion SystemsVirulence FactorsShiga ToxinType III Secretion SystemsVirulence FactorsCRISPR/Cas9 screenEHECShigellatype III secretion systemVibrio parahaemolyticus

Identifiers

PMID30301858

DOI10.1128/mBio.01837-18

PMCPMC6178622

What OpenQuestion holds

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LicenceCC BY

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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.