Literature DB >> 24145144

Proteomics boosts translational and clinical microbiology.

F Del Chierico1, A Petrucca2, P Vernocchi3, G Bracaglia1, E Fiscarelli4, P Bernaschi5, M Muraca4, A Urbani6, L Putignani7.   

Abstract

The application of proteomics to translational and clinical microbiology is one of the most advanced frontiers in the management and control of infectious diseases and in the understanding of complex microbial systems within human fluids and districts. This new approach aims at providing, by dedicated bioinformatic pipelines, a thorough description of pathogen proteomes and their interactions within the context of human host ecosystems, revolutionizing the vision of infectious diseases in biomedicine and approaching new viewpoints in both diagnostic and clinical management of the patient. Indeed, in the last few years, many laboratories have matured a series of advanced proteomic applications, aiming at providing individual proteome charts of pathogens, with respect to their morph and/or cell life stages, antimicrobial or antimycotic resistance profiling, epidemiological dispersion. Herein, we aim at reviewing the current state-of-the-art on proteomic protocols designed and set-up for translational and diagnostic microbiological purposes, from axenic pathogens' characterization to microbiota ecosystems' full description. The final goal is to describe applications of the most common MALDI-TOF MS platforms to advanced diagnostic issues related to emerging infections, increasing of fastidious bacteria, and generation of patient-tailored phylotypes. This article is part of a Special Issue entitled: Trends in Microbial Proteomics.
© 2013. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Clinical microbiology; Emerging pathogens; MALDI-TOF MS; Translational proteomics

Mesh:

Year:  2013        PMID: 24145144     DOI: 10.1016/j.jprot.2013.10.013

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


  7 in total

1.  MALDI-TOF mass spectrometry as a tool for the discrimination of high-risk Escherichia coli clones from phylogenetic groups B2 (ST131) and D (ST69, ST405, ST393).

Authors:  Â Novais; C Sousa; J de Dios Caballero; A Fernandez-Olmos; J Lopes; H Ramos; T M Coque; R Cantón; L Peixe
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2014-03-07       Impact factor: 3.267

2.  Evaluation of Presurgical Skin Preparation Agents in African Clawed Frogs (Xenopus laevis).

Authors:  Blythe H Philips; Marcus J Crim; F Claire Hankenson; Earl K Steffen; Peter S Klein; Angela K Brice; Anthony J Carty
Journal:  J Am Assoc Lab Anim Sci       Date:  2015-11       Impact factor: 1.232

Review 3.  Recent advances in bacteria identification by matrix-assisted laser desorption/ionization mass spectrometry using nanomaterials as affinity probes.

Authors:  Tai-Chia Chiu
Journal:  Int J Mol Sci       Date:  2014-04-28       Impact factor: 5.923

4.  The extracellular proteome of two Bifidobacterium species reveals different adaptation strategies to low iron conditions.

Authors:  Pamela Vazquez-Gutierrez; Marc J A Stevens; Peter Gehrig; Simon Barkow-Oesterreicher; Christophe Lacroix; Christophe Chassard
Journal:  BMC Genomics       Date:  2017-01-06       Impact factor: 3.969

5.  Mass Spectrometry Based-Proteomic Analysis of Anisakis spp.: A Preliminary Study towards a New Diagnostic Tool.

Authors:  Valeria Marzano; Stefania Pane; Gianluca Foglietta; Stefano Levi Mortera; Pamela Vernocchi; Andrea Onetti Muda; Lorenza Putignani
Journal:  Genes (Basel)       Date:  2020-06-24       Impact factor: 4.096

6.  Gut microbiota signatures in cystic fibrosis: Loss of host CFTR function drives the microbiota enterophenotype.

Authors:  Pamela Vernocchi; Federica Del Chierico; Alessandra Russo; Fabio Majo; Martina Rossitto; Mariacristina Valerio; Luca Casadei; Antonietta La Storia; Francesca De Filippis; Cristiano Rizzo; Cesare Manetti; Paola Paci; Danilo Ercolini; Federico Marini; Ersilia Vita Fiscarelli; Bruno Dallapiccola; Vincenzina Lucidi; Alfredo Miccheli; Lorenza Putignani
Journal:  PLoS One       Date:  2018-12-06       Impact factor: 3.240

Review 7.  A review on computational systems biology of pathogen-host interactions.

Authors:  Saliha Durmuş; Tunahan Çakır; Arzucan Özgür; Reinhard Guthke
Journal:  Front Microbiol       Date:  2015-04-09       Impact factor: 5.640

  7 in total

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