Cury N. F., Ribeiro D. G., de Lima J. D., Mendes P. D., Fernandez Diana, Fontes W., Castro M. S., Sousa M. V., Martins N. F., Mehta A. (2022). Proteome dataset of Hemileia vastatrix by LC-MS/MS label-free identification. Data in Brief, 43, [6 p.]. ISSN 2352-3409.
Titre du document
Proteome dataset of Hemileia vastatrix by LC-MS/MS label-free identification
Cury N. F., Ribeiro D. G., de Lima J. D., Mendes P. D., Fernandez Diana, Fontes W., Castro M. S., Sousa M. V., Martins N. F., Mehta A.
Source
Data in Brief, 2022,
43, [6 p.] ISSN 2352-3409
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
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020]
;
Sciences du monde végétal [076]
