%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Cury, N. F.
%A Ribeiro, D. G.
%A de Lima, J. D.
%A Mendes, P. D.
%A Fernandez, Diana
%A Fontes, W.
%A Castro, M. S.
%A Sousa, M. V.
%A Martins, N. F.
%A Mehta, A.
%T Proteome dataset of Hemileia vastatrix by LC-MS/MS label-free identification
%D 2022
%L fdi:010086432
%G ENG
%J Data in Brief
%@ 2352-3409
%K Hemileia vastatrix ; Coffee rust ; Proteome ; LC-MS ; MS
%M ISI:000878011900006
%P [6 ]
%R 10.1016/j.dib.2022.108433
%U https://www.documentation.ird.fr/hor/fdi:010086432
%> https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2022-12/010086432.pdf
%V 43
%W Horizon (IRD)
%X 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
%$ 076 ; 020