Dynamic N-glycoproteome analysis of maize seedling leaves during de-etiolation using Concanavalin A lectin affinity chromatography and a nano-LC-MS/MS-based iTRAQ approach
Bu, Tian-tian; Shen, Jie; Chao, Qing; Shen, Zhuo1; Yan, Zhen4; Zheng, Hai-yan; Wang, Bai-chen
刊名PLANT CELL REPORTS
2017
卷号36期号:12页码:1943-1958
关键词Zea mays N-glycoproteome De-etiolation Quantitative proteome Lectin affinity iTRAQ
ISSN号0721-7714
DOI10.1002/2017GL076188
文献子类Article
英文摘要The identification of N -glycosylated proteins with information about changes in the level of N -glycosylation during de-etiolation provides a database that will aid further research on plant N -glycosylation and de-etiolation. N-glycosylation is one of the most prominent and abundant protein post-translational modifications in all eukaryotes and in plants it plays important roles in development, stress tolerance and immune responses. Because light-induced de-etiolation is one of the most dramatic developmental processes known in plants, seedlings undergoing de-etiolation are an excellent model for investigating dynamic proteomic profiles. Here, we present a comprehensive, quantitative N-glycoproteomic profile of maize seedlings undergoing 12 h of de-etiolation obtained using Concanavalin A (Con A) lectin affinity chromatography enrichment coupled with a nano-LC-MS/MS-based iTRAQ approach. In total, 1084 unique N-glycopeptides carrying 909 N-glycosylation sites and corresponding to 609 proteins were identified and quantified, including 186 N-glycosylation sites from 162 proteins that were significantly regulated over the course of the 12 h de-etiolation period. Based on hierarchical clustering analysis, the significantly regulated N-glycopeptides were divided into seven clusters that showed different N-glycosylation patterns during de-etiolation. We found no obvious difference in the enriched MapMan bincode categories for each cluster, and these clustered significantly regulated N-glycoproteins (SRNPs) are enriched in miscellaneous, protein, cell wall and signaling, indicating that although the N-glycosylation regulation patterns of these SRNPs might differ, they are involved in similar biological processes. Overall, this study represents the first large-scale quantitative N-glycoproteome of the model C4 plant, maize, which is one of the most important cereal and biofuel crops. Our results greatly expand the maize N-glycoproteomic database and also shed light on the potential roles of N-glycosylation modification during the greening of maize leaves.
学科主题Geology
电子版国际标准刊号1432-203X
出版地NEW YORK
WOS关键词PATTERN-RECOGNITION RECEPTORS ; ARABIDOPSIS-THALIANA ; PROTEIN GLYCOSYLATION ; SELF-INCOMPATIBILITY ; GENOME EXPRESSION ; RICE SEEDLINGS ; GENE ENCODES ; PLANT ; KINASE ; GLYCANS
语种英语
出版者SPRINGER
WOS记录号WOS:000419102400019
资助机构Strategic Priority Research Program of the Chinese Academy of SciencesChinese Academy of Sciences [XDA08010206.5]
内容类型期刊论文
源URL[http://ir.ibcas.ac.cn/handle/2S10CLM1/22071]  
专题中科院光生物学重点实验室
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Northeast Forestry Univ, State Key Lab Tree Genet & Breeding, Harbin 150040, Heilongjiang, Peoples R China
3.Rutgers State Univ, Robert Wood Johnson Med Sch, Ctr Adv Biotechnol & Med, Piscataway, NJ 08854 USA
4.Chinese Acad Sci, Inst Bot, Key Lab Photobiol, Beijing 100093, Peoples R China
推荐引用方式
GB/T 7714
Bu, Tian-tian,Shen, Jie,Chao, Qing,et al. Dynamic N-glycoproteome analysis of maize seedling leaves during de-etiolation using Concanavalin A lectin affinity chromatography and a nano-LC-MS/MS-based iTRAQ approach[J]. PLANT CELL REPORTS,2017,36(12):1943-1958.
APA Bu, Tian-tian.,Shen, Jie.,Chao, Qing.,Shen, Zhuo.,Yan, Zhen.,...&Wang, Bai-chen.(2017).Dynamic N-glycoproteome analysis of maize seedling leaves during de-etiolation using Concanavalin A lectin affinity chromatography and a nano-LC-MS/MS-based iTRAQ approach.PLANT CELL REPORTS,36(12),1943-1958.
MLA Bu, Tian-tian,et al."Dynamic N-glycoproteome analysis of maize seedling leaves during de-etiolation using Concanavalin A lectin affinity chromatography and a nano-LC-MS/MS-based iTRAQ approach".PLANT CELL REPORTS 36.12(2017):1943-1958.
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