Literature DB >> 22245553

After genomics, what proteomics tools could help us understand the antimicrobial resistance of Escherichia coli?

Hajer Radhouani1, Luís Pinto, Patrícia Poeta, Gilberto Igrejas.   

Abstract

Proteomic approaches have been considerably improved during the past decade and have been used to investigate the differences in protein expression profiles of cells grown under a broad spectrum of growth conditions and with different stress factors including antibiotics. In Europe, the most significant disease threat remains the presence of microorganisms that have become resistant to antimicrobials and so it is important that different scientific tools are combined to achieve the largest amount of knowledge in this area of expertise. The emergence and spread of the antibiotic-resistant Gram-negative pathogens, such as Escherichia coli, can lead to serious problem public health in humans. E. coli, a very well described prokaryote, has served as a model organism for several biological and biotechnological studies increasingly so since the completion of the E. coli genome-sequencing project. The purpose of this review is to present an overview of the different proteomic approaches to antimicrobial-resistant E. coli that will be helpful to obtain a better knowledge of the antibiotic-resistant mechanism(s). This can also aid to understand the molecular determinants involved with pathogenesis, which is essential for the development of effective strategies to combat infection and to reveal new therapeutic targets. This article is part of a Special Issue entitled: Proteomics: The clinical link.
Copyright © 2011 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22245553     DOI: 10.1016/j.jprot.2011.12.035

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  6 in total

1.  Typing and Characterization of Bacteria Using Bottom-up Tandem Mass Spectrometry Proteomics.

Authors:  Fredrik Boulund; Roger Karlsson; Lucia Gonzales-Siles; Anna Johnning; Nahid Karami; Omar Al-Bayati; Christina Åhrén; Edward R B Moore; Erik Kristiansson
Journal:  Mol Cell Proteomics       Date:  2017-04-18       Impact factor: 5.911

2.  Antibacterial pathway of cefquinome against Staphylococcus aureus based on label-free quantitative proteomics analysis.

Authors:  Linglin Gao; Hao Zhu; Yun Chen; Yuhui Yang
Journal:  J Microbiol       Date:  2021-11-09       Impact factor: 3.422

3.  Analysis of multidrug resistance in Streptococcus suis ATCC 700794 under tylosin stress.

Authors:  Rui-Xiang Che; Xiao-Xu Xing; Xin Liu; Qian-Wei Qu; Mo Chen; Fei Yu; Jin-Xin Ma; Xing-Ru Chen; Yong-Hui Zhou; Bello-Onaghise God'Spower; Ji-Wen Liu; Zhao-Xiang Lu; Ya-Ping Xu; Yan-Hua Li
Journal:  Virulence       Date:  2019-12       Impact factor: 5.882

4.  Next-Generation Sequencing and MALDI Mass Spectrometry in the Study of Multiresistant Processed Meat Vancomycin-Resistant Enterococci (VRE).

Authors:  Carolina Sabença; Telma de Sousa; Soraia Oliveira; Didier Viala; Laetitia Théron; Christophe Chambon; Michel Hébraud; Racha Beyrouthy; Richard Bonnet; Manuela Caniça; Patrícia Poeta; Gilberto Igrejas
Journal:  Biology (Basel)       Date:  2020-04-27

Review 5.  Quantitative proteomic view associated with resistance to clinically important antibiotics in Gram-positive bacteria: a systematic review.

Authors:  Chang-Ro Lee; Jung Hun Lee; Kwang Seung Park; Byeong Chul Jeong; Sang Hee Lee
Journal:  Front Microbiol       Date:  2015-08-11       Impact factor: 5.640

6.  Putative Protein Biomarkers of Escherichia coli Antibiotic Multiresistance Identified by MALDI Mass Spectrometry.

Authors:  Telma de Sousa; Didier Viala; Laetitia Théron; Christophe Chambon; Michel Hébraud; Patricia Poeta; Gilberto Igrejas
Journal:  Biology (Basel)       Date:  2020-03-19
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.