Proteome dataset of by LC-MS/MS label-free identification.

Data Brief

Embrapa Recursos Genéticos e Biotecnologia, Parque Estação Biológica, PqEB, Av. W5 Norte (final), Brasília, DF 70770-917, Brazil.

Published: August 2022

Here we describe the proteome of the fungus by label free mass spectrometry (LC-MS/MS). is the causal agent of coffee rust disease, causing great economic losses in this crop. The objective of our work was to identify 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.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9293582PMC
http://dx.doi.org/10.1016/j.dib.2022.108433DOI Listing

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