Mass spectrometry data from proteomics-based screening of immunoreactive proteins of fully virulent Brucella strains using sera from naturally infected animals

Gamal Wareth; Falk Melzer; Christoph Weise; Heinrich Neubauer; Uwe Roesler; Jayaseelan Murugaiyan

doi:10.1016/j.dib.2015.07.029

Mass spectrometry data from proteomics-based screening of immunoreactive proteins of fully virulent Brucella strains using sera from naturally infected animals

Data Brief. 2015 Jul 31:4:587-90. doi: 10.1016/j.dib.2015.07.029. eCollection 2015 Sep.

Authors

Gamal Wareth¹, Falk Melzer², Christoph Weise³, Heinrich Neubauer², Uwe Roesler⁴, Jayaseelan Murugaiyan⁴

Affiliations

¹ Institute of Animal Hygiene and Environmental Health, Centre for Infectious Medicine, Freie Universität Berlin, Berlin, Germany ; Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Institute of Bacterial Infections and Zoonoses, Jena, Germany.
² Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Institute of Bacterial Infections and Zoonoses, Jena, Germany.
³ Institute for Chemistry and Biochemistry, Freie Universität Berlin, Berlin, Germany.
⁴ Institute of Animal Hygiene and Environmental Health, Centre for Infectious Medicine, Freie Universität Berlin, Berlin, Germany.

Abstract

Here, we provide the dataset associated with our research article on comprehensive screening of Brucella immunoreactive proteins using sera of naturally infected hosts published in Biochemical and Biophysical Research Communications Wareth et al., 2015 [1]. Whole-cell protein extracts were prepared from Brucella abortus and Brucella melitensis, separated using sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) and subsequently western blotting was carried out using sera from bovines (cows and buffaloes) and small ruminants (goats and sheep). The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository [2] with the dataset identifiers PXD001270 and DOI:10.6019/PXD001270.