Data in support of quantitative proteomics to identify potential virulence regulators in Paracoccidioides brasiliensis isolates

Alexandre Keiji Tashima; Daniele Gonçalves Castilho; Alison Felipe Alencar Chaves; Patricia Xander; André Zelanis; Wagner Luiz Batista

doi:10.1016/j.dib.2015.09.001

Data in Brief (Dec 2015)

Data in support of quantitative proteomics to identify potential virulence regulators in Paracoccidioides brasiliensis isolates

Alexandre Keiji Tashima,
Daniele Gonçalves Castilho,
Alison Felipe Alencar Chaves,
Patricia Xander,
André Zelanis,
Wagner Luiz Batista

Affiliations

Alexandre Keiji Tashima: Departamento de Bioquímica, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil
Daniele Gonçalves Castilho: Departamento de Microbiologia, Imunologia e Parasitologia, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil
Alison Felipe Alencar Chaves: Departamento de Microbiologia, Imunologia e Parasitologia, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil
Patricia Xander: Departamento de Ciências Biológicas, Universidade Federal de São Paulo, Campus Diadema, Diadema, SP, Brazil
André Zelanis: Instituto de Ciência e Tecnologia, Universidade Federal de São Paulo, Campus São José dos Campos, Rua Talim, 330, São José dos Campos, SP, Brazil
Wagner Luiz Batista: Departamento de Microbiologia, Imunologia e Parasitologia, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil

DOI: https://doi.org/10.1016/j.dib.2015.09.001
Journal volume & issue: Vol. 5, no. C
pp. 155 – 160

Abstract

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Paracoccidioides genus are the etiologic agents of paracoccidioidomycosis (PCM), a systemic mycosis endemic in Latin America. Few virulence factors have been identified in these fungi. This paper describes support data from the quantitative proteomics of Paracoccidioides brasiliensis attenuated and virulent isolates [1]. The protein compositions of two isolates of the Pb18 strain showing distinct infection profiles were quantitatively assessed by stable isotopic dimethyl labeling and proteomic analysis. The mass spectrometry and the analysis dataset have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with identifier PXD000804.

Published in Data in Brief

ISSN: 2352-3409 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Medicine: Medicine (General): Computer applications to medicine. Medical informatics; Science: Science (General)
Website: http://www.journals.elsevier.com/data-in-brief/

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