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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Proteomic...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Proteomics
Article . 2016 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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iTRAQ-based quantitative proteomic analysis of cultivated Pseudostellaria heterophylla and its wild-type

Authors: Yujiao, Hua; Shengnan, Wang; Zixiu, Liu; Xunhong, Liu; Lisi, Zou; Wei, Gu; Ya, Hou; +3 Authors

iTRAQ-based quantitative proteomic analysis of cultivated Pseudostellaria heterophylla and its wild-type

Abstract

Pseudostellaria heterophylla is an important traditional Chinese herbal medicine with vast clinical consumption because of its positive effects. To date, changes in the metabolite composition of P. heterophylla have been well documented; however, the molecular differences between cultivated P. heterophylla and its wild-type are still unknown. The aim of this study was to investigate differences in cultivated and wild P. heterophylla. Due to the lack of a genomic database, we used high-throughput transcriptomic and proteomic technologies to identify proteins in the herb. Isobaric tags for relative and absolute quantification (iTRAQ) MS/MS were used to detect statistically significant changes between cultivated and wild P. heterophylla. We detected 3775 proteins; 332 showed differential accumulations across two different ecotypes of P. heterophylla. 71 significant differential expressions of proteins were selected based on GO annotations, KEGG, STRING analysis, and expression level. Quantitative real-time PCR analysis confirmed the authenticity and accuracy of the proteomic analysis. The results indicated that the carbohydrate and cellular amino acid metabolisms in cultivated P. heterophylla were weaker than those in its wild-type; seven important proteins were found to regulate sucrose and amino acids. This will provide the basic information for exploring the cause of differences in secondary metabolites in different ecotypes of P. heterophylla and the protein mechanism of its quality formation.This study combined a transcriptome, proteome, and metabolism approach for analyzing differentially expressed proteins of cultivated and wild P. heterophylla and established the relationship between significantly differentially expressed proteins and differential chemical components in non-model plants. The results of proteomic analysis provide the basic information for exploring the quality forming process, which will demonstrate, and provide guidance for, the study of effective constituents of P. heterophylla and its quality formation mechanism.

Related Organizations
Keywords

Proteomics, Proteome, Gene Expression Regulation, Plant, Caryophyllaceae, Plant Proteins

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
40
Top 10%
Top 10%
Top 10%
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