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Proteome dataset of Hemileia vastatrix by LC–MS/MS label-free identification

Authors :
Natália Faustino Cury
Daiane Gonzaga Ribeiro
Jonathan Dias de Lima
Pollyana da Nóbrega Mendes
Diana Fernandez
Wagner Fontes
Mariana S. Castro
Marcelo V. Sousa
Natália F. Martins
Angela Mehta
Source :
Data in Brief, Vol 43, Iss , Pp 108433- (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

Here we describe the proteome of the fungus Hemileia vastatrix by label free mass spectrometry (LC–MS/MS). H. vastatrix is the causal agent of coffee rust disease, causing great economic losses in this crop. The objective of our work was to identify H. vastatrix proteins potentially involved in host colonization and infection, by exploring the shotgun proteomics approach. A total of 742 proteins were identified and are associated with several crucial molecular functions, biological processes, and cellular components. The proteins identified contribute to a better understanding of the metabolism of the fungus and may help identify target proteins for the development of specific drugs in order to control coffee rust disease. All data can be accessed at the Centre for Computational Mass Spectrometry – MassIVE MSV000087665 -https://massive.ucsd.edu/ProteoSAFe/dataset.jsp?task=cc71ad75f767451abe72dd1ce0019387

Details

Language :
English
ISSN :
23523409
Volume :
43
Issue :
108433-
Database :
Directory of Open Access Journals
Journal :
Data in Brief
Publication Type :
Academic Journal
Accession number :
edsdoj.1949fa5f45b645c595c45df13f1e25a9
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dib.2022.108433