Evidence map›Paper›PMID 23463517›Full record

ArticleCurrent microbiology2013

Proteome analysis of the two-component SalK/SalR system in Epidemic Streptococcus suis serotype 2.

Xiaodong Shen, Qiu Zhong, Yan Zhao, Supeng Yin, Tian Chen, Fuquan Hu, Ming Li

Abstract read
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In one paragraph

Article in Current microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The Impact of SsPI-1 Deletion onPathogens (Basel, Switzerland) · 2019
    Article
  6. Article
  7. Article
  8. 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

7 authors at 1 institution in 1 country.

Xiaodong ShenDepartment of Microbiology, Third Military Medical University, Chongqing 400038, China.
Qiu Zhong
Yan Zhao
Supeng Yin
Tian Chen
Fuquan Hu
Ming Li
Army Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Streptococcus suis serotype 2 (SS2) is a major swine pathogen of significant commercial importance worldwide and an emerging zoonotic agent of human streptococcal toxic shock-like syndrome. We previously reported that the Chinese highly pathogenic SS2 strains specifically harbor an 89K pathogenicity island, and the SalK/SalR two-component system encoded within this island mediates a piglet-lethal phenotype. However, its regulatory mechanism remains obscure. In the present study, we performed a proteome analysis to identify the target proteins regulated by the SalK/SalR system. This expression profiling analysis reveals 14 down-regulated proteins and 1 up-regulated protein. In partial accord with our previous microarray analysis, 9 out of the 14 down-regulated genes are also repressed at the transcriptional level. From the 9 matched genes, 5 were selected and further subjected to gene knockout and experimental infection of mice. The results show that the selected 5 genes are potential virulence factors and participate to various extents in the pathogenesis of SS2 infection, and may contribute to the attenuation of virulence mediated by the SalK/SalR system.

Indexed as

Gene Expression Regulation, BacterialRegulonAnimalsBacterial ProteinsDisease Models, AnimalGene Expression ProfilingGene Knockout TechniquesGenomic IslandsMiceProteomeStreptococcal InfectionsStreptococcus suisTranscription FactorsVirulence FactorsBacterial ProteinsProteomeTranscription FactorsVirulence Factors

Identifiers

PMID23463517
OpenAlexW1986287997

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.