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S-nitroso- and nitro- proteomes in the olive (Olea europaea L.) pollen. Predictive versus experimental data by nano-LC-MS
The data presented here are related to the research article entitled “Generation of nitric oxide by olive (Olea europaea L.) pollen during in vitro germination and assessment of the S-nitroso- and nitro-proteomes by computational predictive methods” doi:10.1016/j.niox.2017.06.005 (Jimenez-Quesada et...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5647517/ https://www.ncbi.nlm.nih.gov/pubmed/29062872 http://dx.doi.org/10.1016/j.dib.2017.09.058 |
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author | Carmona, Rosario Jimenez-Quesada, María José Lima-Cabello, Elena Traverso, José Ángel Castro, Antonio Jesús Claros, M. Gonzalo de Dios Alché, Juan |
author_facet | Carmona, Rosario Jimenez-Quesada, María José Lima-Cabello, Elena Traverso, José Ángel Castro, Antonio Jesús Claros, M. Gonzalo de Dios Alché, Juan |
author_sort | Carmona, Rosario |
collection | PubMed |
description | The data presented here are related to the research article entitled “Generation of nitric oxide by olive (Olea europaea L.) pollen during in vitro germination and assessment of the S-nitroso- and nitro-proteomes by computational predictive methods” doi:10.1016/j.niox.2017.06.005 (Jimenez-Quesada et al., 2017) [1]. Predicted cysteine S-nitrosylation and Tyr-nitration sites in proteins derived from a de novo assembled and annotated pollen transcriptome from olive tree (Olea europaea L.) were obtained after using well-established predictive tools in silico. Predictions were performed using both default and highly restrictive thresholds. Numerous gene products identified with these characteristics are listed here. An experimental validation of the data, consisting in nano-LC-MS (Liquid Chromatography-Mass Spectrometry) determination of olive pollen proteins after immunoprecipitation with antibodies to anti-S-nitrosoCys and anti-3-NT (NitroTyrosine) allowed identification of numerous proteins subjected to these two post-translational modifications, which are listed here together with information regarding their cross-presence among the predictions. |
format | Online Article Text |
id | pubmed-5647517 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-56475172017-10-23 S-nitroso- and nitro- proteomes in the olive (Olea europaea L.) pollen. Predictive versus experimental data by nano-LC-MS Carmona, Rosario Jimenez-Quesada, María José Lima-Cabello, Elena Traverso, José Ángel Castro, Antonio Jesús Claros, M. Gonzalo de Dios Alché, Juan Data Brief Proteomics and Biochemistry The data presented here are related to the research article entitled “Generation of nitric oxide by olive (Olea europaea L.) pollen during in vitro germination and assessment of the S-nitroso- and nitro-proteomes by computational predictive methods” doi:10.1016/j.niox.2017.06.005 (Jimenez-Quesada et al., 2017) [1]. Predicted cysteine S-nitrosylation and Tyr-nitration sites in proteins derived from a de novo assembled and annotated pollen transcriptome from olive tree (Olea europaea L.) were obtained after using well-established predictive tools in silico. Predictions were performed using both default and highly restrictive thresholds. Numerous gene products identified with these characteristics are listed here. An experimental validation of the data, consisting in nano-LC-MS (Liquid Chromatography-Mass Spectrometry) determination of olive pollen proteins after immunoprecipitation with antibodies to anti-S-nitrosoCys and anti-3-NT (NitroTyrosine) allowed identification of numerous proteins subjected to these two post-translational modifications, which are listed here together with information regarding their cross-presence among the predictions. Elsevier 2017-10-06 /pmc/articles/PMC5647517/ /pubmed/29062872 http://dx.doi.org/10.1016/j.dib.2017.09.058 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Proteomics and Biochemistry Carmona, Rosario Jimenez-Quesada, María José Lima-Cabello, Elena Traverso, José Ángel Castro, Antonio Jesús Claros, M. Gonzalo de Dios Alché, Juan S-nitroso- and nitro- proteomes in the olive (Olea europaea L.) pollen. Predictive versus experimental data by nano-LC-MS |
title | S-nitroso- and nitro- proteomes in the olive (Olea europaea L.) pollen. Predictive versus experimental data by nano-LC-MS |
title_full | S-nitroso- and nitro- proteomes in the olive (Olea europaea L.) pollen. Predictive versus experimental data by nano-LC-MS |
title_fullStr | S-nitroso- and nitro- proteomes in the olive (Olea europaea L.) pollen. Predictive versus experimental data by nano-LC-MS |
title_full_unstemmed | S-nitroso- and nitro- proteomes in the olive (Olea europaea L.) pollen. Predictive versus experimental data by nano-LC-MS |
title_short | S-nitroso- and nitro- proteomes in the olive (Olea europaea L.) pollen. Predictive versus experimental data by nano-LC-MS |
title_sort | s-nitroso- and nitro- proteomes in the olive (olea europaea l.) pollen. predictive versus experimental data by nano-lc-ms |
topic | Proteomics and Biochemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5647517/ https://www.ncbi.nlm.nih.gov/pubmed/29062872 http://dx.doi.org/10.1016/j.dib.2017.09.058 |
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