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Data for global lysine-acetylation analysis in rice (Oryza sativa)

Rice is one of the most important crops for human consumption and is a staple food for over half of the world׳s population (Yu et al., 2002) [1]. A systematic identification of the lysine acetylome was performed by our research (Xiong et al., 2016) [2]. Rice plant samples were collected from 5 weeks...

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Detalles Bibliográficos
Autores principales: Xiong, Yehui, Zhang, Kai, Cheng, Zhongyi, Wang, Guo-Liang, Liu, Wende
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4781998/
https://www.ncbi.nlm.nih.gov/pubmed/26977447
http://dx.doi.org/10.1016/j.dib.2016.02.032
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author Xiong, Yehui
Zhang, Kai
Cheng, Zhongyi
Wang, Guo-Liang
Liu, Wende
author_facet Xiong, Yehui
Zhang, Kai
Cheng, Zhongyi
Wang, Guo-Liang
Liu, Wende
author_sort Xiong, Yehui
collection PubMed
description Rice is one of the most important crops for human consumption and is a staple food for over half of the world׳s population (Yu et al., 2002) [1]. A systematic identification of the lysine acetylome was performed by our research (Xiong et al., 2016) [2]. Rice plant samples were collected from 5 weeks old seedlings (Oryza sativa, Nipponbare). After the trypsin digestion and immunoaffinity precipitation, LC–MS/MS approach was used to identify acetylated peptides. After the collected MS/MS data procession and GO annotation, the InterProScan was used to annotate protein domain. Subcellular localization of the identified acetylated proteins was predicted by WoLF PSORT. The KEGG pathway database was used to annotate identified acetylated protein interactions, reactions, and relations. The data, supplied in this article, are related to “A comprehensive catalog of the lysine-acetylation targets in rice (O. sativa) based on proteomic analyses” by Xiong et al. (2016) [2].
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spelling pubmed-47819982016-03-14 Data for global lysine-acetylation analysis in rice (Oryza sativa) Xiong, Yehui Zhang, Kai Cheng, Zhongyi Wang, Guo-Liang Liu, Wende Data Brief Data Article Rice is one of the most important crops for human consumption and is a staple food for over half of the world׳s population (Yu et al., 2002) [1]. A systematic identification of the lysine acetylome was performed by our research (Xiong et al., 2016) [2]. Rice plant samples were collected from 5 weeks old seedlings (Oryza sativa, Nipponbare). After the trypsin digestion and immunoaffinity precipitation, LC–MS/MS approach was used to identify acetylated peptides. After the collected MS/MS data procession and GO annotation, the InterProScan was used to annotate protein domain. Subcellular localization of the identified acetylated proteins was predicted by WoLF PSORT. The KEGG pathway database was used to annotate identified acetylated protein interactions, reactions, and relations. The data, supplied in this article, are related to “A comprehensive catalog of the lysine-acetylation targets in rice (O. sativa) based on proteomic analyses” by Xiong et al. (2016) [2]. Elsevier 2016-02-20 /pmc/articles/PMC4781998/ /pubmed/26977447 http://dx.doi.org/10.1016/j.dib.2016.02.032 Text en © 2016 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 Data Article
Xiong, Yehui
Zhang, Kai
Cheng, Zhongyi
Wang, Guo-Liang
Liu, Wende
Data for global lysine-acetylation analysis in rice (Oryza sativa)
title Data for global lysine-acetylation analysis in rice (Oryza sativa)
title_full Data for global lysine-acetylation analysis in rice (Oryza sativa)
title_fullStr Data for global lysine-acetylation analysis in rice (Oryza sativa)
title_full_unstemmed Data for global lysine-acetylation analysis in rice (Oryza sativa)
title_short Data for global lysine-acetylation analysis in rice (Oryza sativa)
title_sort data for global lysine-acetylation analysis in rice (oryza sativa)
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4781998/
https://www.ncbi.nlm.nih.gov/pubmed/26977447
http://dx.doi.org/10.1016/j.dib.2016.02.032
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