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Candidate proteomic biomarkers for three genogroups of the swine pathogen Streptococcus suis serotype 2

Overview of attention for article published in BMC Microbiology, April 2015
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Title
Candidate proteomic biomarkers for three genogroups of the swine pathogen Streptococcus suis serotype 2
Published in
BMC Microbiology, April 2015
DOI 10.1186/s12866-015-0401-0
Pubmed ID
Authors

Christo Atanassov, Laetitia Bonifait, Marylise Perivier, Marcelo Gottschalk, Daniel Grenier

Abstract

Streptococcus suis, more specifically serotype 2, is a major swine pathogen and an emerging zoonotic agent that causes severe infections such as meningitis, endocarditis, and septicemia. In this study, surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI) was used to investigate the protein expression profiles of 45 strains of S. suis serotype 2 that had previously been clustered by multilocus sequence typing (MLST) into three sequence types (ST1, ST25, and ST28) (n = 15 for each ST). The SELDI data were analyzed using the univariate Mann-Whitney and Kruskal-Wallis tests and multivariate statistical methods (heatmap/hierarchical clustering). The heatmap identified 136 cell proteins, and hierarchical clustering provided a 100% correct classification of all fifteen ST1 and ST25 strains and thirteen of the fifteen ST28 strains (87% correct). The univariate statistical analyses of the SELDI protein expression profiles identified nine significant proteins that discriminated the strains of the three STs of S. suis. Of these proteins, two were overexpressed in ST1 (5958 Da and 10249 Da), four in ST25 (5989 Da, 6646 Da, 7421 Da, and 9825 Da), and three in ST28 (4516 Da, 7833 Da, and 9342 Da). Two of the proteins associated with the ST28 strains (p4516 and p9342) were purified and were identified as a putative ABC transporter and a nucleoid-DNA-binding protein, respectively. SELDI analysis of 45 strains of S. suis allowed to identify nine statistically significant proteins that can be specifically correlated with either ST1, ST25 or ST28. The possible involvement of the overexpressed proteins in the pathology of S. suis infections will require further investigation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 14%
Unknown 12 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 36%
Researcher 4 29%
Student > Bachelor 2 14%
Student > Doctoral Student 1 7%
Unknown 2 14%
Readers by discipline Count As %
Medicine and Dentistry 4 29%
Agricultural and Biological Sciences 3 21%
Veterinary Science and Veterinary Medicine 2 14%
Immunology and Microbiology 1 7%
Engineering 1 7%
Other 0 0%
Unknown 3 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 May 2015.
All research outputs
#14,810,408
of 22,803,211 outputs
Outputs from BMC Microbiology
#1,596
of 3,188 outputs
Outputs of similar age
#148,441
of 263,912 outputs
Outputs of similar age from BMC Microbiology
#27
of 54 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,188 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.