Evidence map›Paper›PMID 39457374›Full record

ArticleGenes2024

Diversity, Distribution and Structural Prediction of the Pathogenic Bacterial Effectors EspN and EspS.

Zhan Li, Yuru Hu, Yuan Song, Deyu Li, Xiaolan Yang, Liangyan Zhang, Tao Li, Hui Wang

Abstract read
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Zhan LiState Key Laboratory of Pathogens and Biosecurity, Academy of Military Medical Sciences, Beijing 100071, China.
Yuru HuState Key Laboratory of Pathogens and Biosecurity, Academy of Military Medical Sciences, Beijing 100071, China.
Yuan SongState Key Laboratory of Pathogens and Biosecurity, Academy of Military Medical Sciences, Beijing 100071, China.
Deyu LiState Key Laboratory of Pathogens and Biosecurity, Academy of Military Medical Sciences, Beijing 100071, China.
Xiaolan YangState Key Laboratory of Pathogens and Biosecurity, Academy of Military Medical Sciences, Beijing 100071, China.
Liangyan ZhangState Key Laboratory of Pathogens and Biosecurity, Academy of Military Medical Sciences, Beijing 100071, China.
Tao LiState Key Laboratory of Pathogens and Biosecurity, Academy of Military Medical Sciences, Beijing 100071, China.
Hui WangState Key Laboratory of Pathogens and Biosecurity, Academy of Military Medical Sciences, Beijing 100071, China.

Funding

Beijing Nova Program Z181100006218111National Natural Science Foundation of China 82072251
6 · The paper itself

Abstract

backgroundMany Gram-negative enterobacteria translocate virulence proteins (effectors) into intestinal epithelial cells using a type III secretion system (T3SS) to subvert the activity of various cell functions possess. Many T3SS effectors have been extensively characterized, but there are still some effector proteins whose functional information is completely unknown.

methodsIn this study, two predicted effectors of unknown function, EspN and EspS (

resultsThe TEM1 (β-lactamase) translocation assay was performed, which showed that EspN and EspS are translocated into host cells in a T3SS-dependent manner during bacterial infection. A phylogenetic tree analysis revealed that homologs of EspN and EspS are widely distributed in pathogenic bacteria. Multiple sequence alignment revealed that EspN and its homologs share a conserved C-terminal region (673-1133 a.a.). Furthermore, the structure of EspN (673-1133 a.a.) was also predicted and well-defined, which showed that it has three subdomains connected by a loop region. EspS and its homologs share a sequence-conserved C-terminal (146-291 a.a.). The predicted structure of EspS (146-291 a.a.) is composed of a β-sheet consisting of four β-strands and several short helices, which has a TM score of 0.5014 with the structure of the

conclusionsThese results suggest that EspN and EspS may represent two important classes of T3SS effectors associated with pathogen virulence, and our findings provide important clues to understanding the potential functions of EspN and EspS.

Indexed as

Escherichia coli ProteinsPhylogenyType III Secretion Systemsbeta-LactamasesEscherichia coliHumansVirulence Factorsbeta-LactamasesEscherichia coli ProteinsType III Secretion SystemsVirulence Factorsdistributionenterobacteriastructure prediction

Identifiers

PMID39457374
PMCPMC11507257

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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.