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油橄榄(L.)花粉中的亚硝基和硝基蛋白质组。通过纳米液相色谱-质谱联用的预测性实验数据。

-nitroso- and nitro- proteomes in the olive ( L.) pollen. Predictive experimental data by nano-LC-MS.

作者信息

Carmona Rosario, Jimenez-Quesada María José, Lima-Cabello Elena, Traverso José Ángel, Castro Antonio Jesús, Claros M Gonzalo, de Dios Alché Juan

机构信息

Plant Reproductive Biology Laboratory, Department of Biochemistry, Cellular and Molecular Biology of Plants, Estación Experimental del Zaidín (CSIC), Profesor Albareda 1, 18008 Granada, Spain.

Departamento de Biología Molecular y Bioquímica, Universidad de Málaga, Málaga, Spain.

出版信息

Data Brief. 2017 Oct 6;15:474-477. doi: 10.1016/j.dib.2017.09.058. eCollection 2017 Dec.

Abstract

The data presented here are related to the research article entitled "Generation of nitric oxide by olive ( L.) pollen during germination and assessment of the -nitroso- and nitro-proteomes by computational predictive methods" doi:10.1016/j.niox.2017.06.005 (Jimenez-Quesada et al., 2017) [1]. Predicted cysteine -nitrosylation and Tyr-nitration sites in proteins derived from a assembled and annotated pollen transcriptome from olive tree ( L.) were obtained after using well-established predictive tools . 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--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.

摘要

此处呈现的数据与题为《油橄榄(Olea europaea L.)花粉萌发过程中一氧化氮的产生以及通过计算预测方法评估亚硝基化和硝基化蛋白质组》的研究文章相关,doi:10.1016/j.niox.2017.06.005(希门尼斯 - 克萨达等人,2017年)[1]。在使用成熟的预测工具后,获得了源自油橄榄(Olea europaea L.)组装并注释的花粉转录组的蛋白质中预测的半胱氨酸亚硝基化和酪氨酸硝化位点。使用默认阈值和高度严格的阈值进行了预测。此处列出了通过这些特征鉴定出的众多基因产物。通过用抗亚硝基化半胱氨酸抗体和抗3 - NT(硝基酪氨酸)抗体进行免疫沉淀后,采用纳升液相色谱 - 质谱联用(nano - LC - MS)测定油橄榄花粉蛋白质,对数据进行了实验验证,从而鉴定出众多经历这两种翻译后修饰的蛋白质,此处列出了这些蛋白质以及它们在预测结果中的交叉存在信息。

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1
Bioinformatic Prediction of S-Nitrosylation Sites in Large Protein Datasets.
Methods Mol Biol. 2018;1747:241-250. doi: 10.1007/978-1-4939-7695-9_19.

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