Published in

Elsevier, Data in Brief, (1), p. 46-50, 2014

DOI: 10.1016/j.dib.2014.08.009

Links

Tools

Export citation

Search in Google Scholar

Data from an integrative approach decipher the surface proteome of Propionibacterium freudenreichii

Journal article published in 2014 by Caroline Le Maréchal, Caroline Le Maréchal, Vincent Peton, Coline Le Plenier, Coline Plé, Christophe Vroland, Julien Jardin ORCID, Valérie Briard-Bion, Gaël Durant, Victoria Chuat, Valentin Loux, Benoit Foligné, Stéphanie-Marie Deutsch, Hélène Falentin, Gwénaël Jan
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Upload
Green circle
Postprint: archiving allowed
Upload
Green circle
Published version: archiving allowed
Upload
Policy details
Data provided by SHERPA/RoMEO

Abstract

The surface proteins of the probiotic Propionibacterium freudenreichii were inventoried by an integrative approach that combines in silico protein localization prediction, surface protein extraction, shaving and fluorescent CyDye labeling. Proteins that were extracted and/or shaved and/or labeled were identified by nano-LC–MS/MS following trypsinolysis. This method’s combination allowed to confirm detection of true surface proteins involved in host/probiotic interactions. The data, supplied in this article, are related to the research article entitled “Surface proteins of P. freudenreichii are involved in its anti-inflammatory properties” (Le Maréchal et al., 2014 [6]).