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      Comprehensive Identification of Immunodominant Proteins of Brucella abortus and Brucella melitensis Using Antibodies in the Sera from Naturally Infected Hosts

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          Abstract

          Brucellosis is a debilitating zoonotic disease that affects humans and animals. The diagnosis of brucellosis is challenging, as accurate species level identification is not possible with any of the currently available serology-based diagnostic methods. The present study aimed at identifying Brucella ( B.) species-specific proteins from the closely related species B. abortus and B. melitensis using sera collected from naturally infected host species. Unlike earlier reported investigations with either laboratory-grown species or vaccine strains, in the present study, field strains were utilized for analysis. The label-free quantitative proteomic analysis of the naturally isolated strains of these two closely related species revealed 402 differentially expressed proteins, among which 63 and 103 proteins were found exclusively in the whole cell extracts of B. abortus and B. melitensis field strains, respectively. The sera from four different naturally infected host species, i.e., cattle, buffalo, sheep, and goat were applied to identify the immune-binding protein spots present in the whole protein extracts from the isolated B . abortus and B. melitensis field strains and resolved on two-dimensional gel electrophoresis. Comprehensive analysis revealed that 25 proteins of B. abortus and 20 proteins of B. melitensis were distinctly immunoreactive. Dihydrodipicolinate synthase, glyceraldehyde-3-phosphate dehydrogenase and lactate/malate dehydrogenase from B. abortus, amino acid ABC transporter substrate-binding protein from B. melitensis and fumarylacetoacetate hydrolase from both species were reactive with the sera of all the tested naturally infected host species. The identified proteins could be used for the design of serological assays capable of detecting pan- Brucella, B. abortus- and B. melitensis-specific antibodies.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            A modification of the Lowry procedure to simplify protein determination in membrane and lipoprotein samples.

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              A practical guide to the MaxQuant computational platform for SILAC-based quantitative proteomics.

              MaxQuant is a quantitative proteomics software package designed for analyzing large mass spectrometric data sets. It is specifically aimed at high-resolution mass spectrometry (MS) data. Currently, Thermo LTQ-Orbitrap and LTQ-FT-ICR instruments are supported and Mascot is used as a search engine. This protocol explains step by step how to use MaxQuant on stable isotope labeling by amino acids in cell culture (SILAC) data obtained with double or triple labeling. Complex experimental designs, such as time series and drug-response data, are supported. A standard desktop computer is sufficient to fulfill the computational requirements. The workflow has been stress tested with more than 1,000 liquid chromatography/mass spectrometry runs in a single project. In a typical SILAC proteome experiment, hundreds of thousands of peptides and thousands of proteins are automatically and reliably quantified. Additional information for identified proteins, such as Gene Ontology, domain composition and pathway membership, is provided in the output tables ready for further bioinformatics analysis. The software is freely available at the MaxQuant home page.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Int J Mol Sci
                Int J Mol Sci
                ijms
                International Journal of Molecular Sciences
                MDPI
                1422-0067
                30 April 2016
                May 2016
                : 17
                : 5
                : 659
                Affiliations
                [1 ]Institute of Animal Hygiene and Environmental Health, Centre for Infectious Medicine, Freie Universität Berlin, Robert-von-Ostertag-Str. 7-13, Berlin 14163, Germany; Gamal.Wareth@ 123456fli.bund.de (G.W.); Uwe.Roesler@ 123456fu-berlin.de (U.R.)
                [2 ]Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Institute of Bacterial Infections and Zoonoses, Naumburger Str. 96a, Jena 07743, Germany; Falk.Melzer@ 123456fli.bund.de (F.M.); Lisa.Sprague@ 123456fli.bund.de (L.D.S.); Heinrich.Neubauer@ 123456fli.bund.de (H.N.)
                [3 ]Faculty of Veterinary Medicine, Benha University, Moshtohor, Toukh 13736, Egypt
                [4 ]Institute of Chemistry and Biochemistry, Freie Universität Berlin, Thielallee 63, Berlin 14195, Germany; eravci@ 123456zedat.fu-berlin.de (M.E.); chris.weise@ 123456biochemie.fu-berlin-de (C.W.)
                Author notes
                [* ]Correspondence: jayaseelan.murugaiyan@ 123456fu-berlin.de ; Tel.: +49-30-8385-1807
                Article
                ijms-17-00659
                10.3390/ijms17050659
                4881485
                27144565
                13362423-9d03-408d-9ace-815ace20698b
                © 2016 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 11 March 2016
                : 22 April 2016
                Categories
                Article

                Molecular biology
                brucella,host specificity,mass spectrometry,liquid chromatography–mass spectrometry (lc-ms),two dimensional electrophoresis,2d-page,matrix-assisted laser desorption/ionization-tine of flight-mass spectrometry maldi-tof ms,proteomics,western blot

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