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1.
Proteomics ; 19(17): e1900148, 2019 09.
Artículo en Inglés | MEDLINE | ID: mdl-31168931

RESUMEN

This dataset brief is about the descriptive proteome of Qualea grandiflora plants by label free mass spectrometry (LC-MS/MS). Q. grandiflora is a plant that accumulates aluminum (Al) in high quantities and requires it for growth and development. Although quite relevant for the understanding of Al effects on plants, the proteome of Q. grandiflora has not been studied yet. Therefore, the current proteome analysis identifies a total of 2010 proteins. Furthermore, the identified Q. grandiflora root proteins are associated with several crucial molecular functions, biological processes, and cellular sites. Hence, the proteome analysis of Q. grandiflora will contribute to unravel how plants evolved to cope with high levels of Al in soils. All data can be accessed at the Centre for Computational Mass Spectrometry - MassIVE MSV000082284 - https://massive.ucsd.edu/ProteoSAFe/dataset.jsp?task=adb9647282a5421a9cffe3124c060f46.


Asunto(s)
Aluminio/farmacología , Cromatografía Liquida/métodos , Magnoliopsida/metabolismo , Proteínas de Plantas/metabolismo , Raíces de Plantas/metabolismo , Proteoma/análisis , Espectrometría de Masas en Tándem/métodos , Magnoliopsida/efectos de los fármacos , Raíces de Plantas/efectos de los fármacos , Proteoma/efectos de los fármacos , Proteoma/metabolismo
2.
Data Brief ; 43: 108433, 2022 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-35859787

RESUMEN

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.

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