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Proteomic analysis of a multi-resistant clinical Escherichia coli isolate of unknown genomic background

Overview of attention for article published in Journal of Proteomics, December 2011
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Title
Proteomic analysis of a multi-resistant clinical Escherichia coli isolate of unknown genomic background
Published in
Journal of Proteomics, December 2011
DOI 10.1016/j.jprot.2011.12.024
Pubmed ID
Authors

Gisele G. Tomazella, Kine Risberg, Haima Mylvaganam, Paul Christoffer Lindemann, Bernd Thiede, Gustavo A. de Souza, Harald G. Wiker

Abstract

Horizontal transfer of gene clusters occurs in Escherichia coli (E. coli), which could lead to evolution of new pathovars and improve survival fitness. However, this genetic event results in genomic plasticity which is a hindrance for proteomic characterization of strains with unknown genetic backgrounds. To characterize such isolate with many specific genetic variations we used the recently in-house designed MSMSpdbb software which merges protein databases from several sources of E. coli including type strains and other commensal and pathogenic isolates. We selected a multidrug resistant clinical isolate in order to check the capacity of our approach to identify selected protein markers. From the 1596 identified proteins, we found important virulence factors such as IutA, OmpA, TraT and selected enzymes conferring antibiotic resistance, such as CTX-M-15 (Extended-Spectrum Beta Lactamase--ESBL) and AAC(6')-Ib-cr (to aminoglycoside+fluoroquinolone). In addition, we compared the protein identifications with E. coli gene annotation and found that 27% of the proteins identified in the present study corresponded to the pan-genome of E. coli species and are only present in a subset of strains. This demonstrates the ability of our approach to characterize the proteome of bacterial strains with complex genomic plasticity even without its genomic information.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 2%
Brazil 1 2%
Unknown 42 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 23%
Researcher 9 20%
Student > Bachelor 8 18%
Student > Postgraduate 6 14%
Lecturer 2 5%
Other 5 11%
Unknown 4 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 48%
Biochemistry, Genetics and Molecular Biology 10 23%
Immunology and Microbiology 2 5%
Nursing and Health Professions 1 2%
Philosophy 1 2%
Other 3 7%
Unknown 6 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 18 January 2012.
All research outputs
#20,653,708
of 25,371,288 outputs
Outputs from Journal of Proteomics
#2,625
of 3,461 outputs
Outputs of similar age
#203,681
of 249,703 outputs
Outputs of similar age from Journal of Proteomics
#38
of 41 outputs
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We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.