Proteome dataset of Hemileia vastatrix by LC–MS/MS label-free identification - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Journal Articles (Data Paper) Data in Brief Year : 2022

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

Abstract

Here we describe the proteome of the fungus Hemileia vas-tatrix by label free mass spectrometry (LC-MS/MS). H. vas-tatrix 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 in-volved in host colonization and infection, by exploring the shotgun proteomics approach. A total of 742 proteins were identified and are associated with several crucial molecu-lar functions, biological processes, and cellular components. The proteins identified contribute to a better understand-ing of the metabolism of the fungus and may help identify target proteins for the development of specific drugs in or-der to control coffee rust disease. All data can be accessed at the Centre for Computational Mass Spectrometry - Mas-sIVE MSV0 0 0 087665 -https://massive.ucsd.edu/ProteoSAFe/ dataset.jsp?task=cc71ad75f767451abe72dd1ce0019387
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hal-03948572 , version 1 (20-01-2023)

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Natália Faustino Cury, Daiane Gonzaga Ribeiro, Jonathan Dias de Lima, Pollyana da Nóbrega Mendes, Diana Fernandez, et al.. Proteome dataset of Hemileia vastatrix by LC–MS/MS label-free identification. Data in Brief, 2022, 43, pp.108433. ⟨10.1016/j.dib.2022.108433⟩. ⟨hal-03948572⟩
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