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http://cicese.repositorioinstitucional.mx/jspui/handle/1007/3332| Data from proteome analysis of Lasiodiplodia theobromae (Botryosphaeriaceae) | |
| CARLA CRISTINA URANGA SOLIS | |
| Majid Ghassemian RUFINA HERNANDEZ MARTINEZ | |
| Acceso Abierto | |
| Atribución | |
| https://doi.org/10.1016/j.dib.2017.04.058 | |
| Trunk-diseasefungi, LC-nanoESI-MS, Proteomics, De novo peptidesequencing, Gene ontology | |
| Trunk disease fungi are a global problem affecting many economically important fruiting trees.The Botryosphaeriaceae are a family of trunk disease fungi that require detailed biochemical characterization in order to gain insight into their pathogenicity. The application of a modified Folch extraction to protein extraction from the Botryosphaeriaceae Lasiodiplodia theobromae generated an unprecedented data set of protein identifications from fragmentation analysis and de novo peptide sequencing of its proteome. This article contains data from protein identifications obtained from a database dependent fragmentation analysis using three different proteomics algorithms (MSGF,Comet andX! Tandem via the SearchGUI proteomics pipeline program) and de novo peptide sequencing. Included are data sets of gene ontology annotations using an all-Uniprot ontology database, as well as a Saccharomy cescerevisiae-only anda Candida albicans-only ontology database, in order to discern between those proteins involved in common functions with S. cerevisiae and those in common with the pathogenic yeast C. albicans. Our results reveal the proteome of L. theobromae contains more ontological categories in common to C. albicans, yet possesses a much wider metabolic repertoire than any of the yeasts studied in this work. Many novel proteins of interest were identified for further biochemical characterization and annotation efforts, as further discussed in the article referencing this article (1). Interactive Cytoscape networks of molecular functions of identified peptides using an all-Uniprot ontological database are included. Data, including raw data, are available via ProteomeXchange with identifier PXD005283. | |
| Elsevier Inc. | |
| 2017 | |
| Artículo | |
| Data in Brief, Vol.13, Págs.124-128 | |
| Inglés | |
| Uranga, C.C.,Ghassemian, M., Hernandez-Martinez,R. 2017.Data from proteome analysis of Lasiodiplodia theobromae (Botryosphaeriaceae).Data in Brief,13,124-128.doi:10.1016/j.dib.2017.04.058 | |
| HONGOS | |
| Versión publicada | |
| publishedVersion - Versión publicada | |
| Aparece en las colecciones: | Artículos - Microbiología Experimental |
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| Data-from-proteome-analysis-of-lasi-Uranga-2017-.pdf | 171.4 kB | Adobe PDF | Visualizar/Abrir |