Suppr超能文献

小立碗藓原生质体发育重编程的定量蛋白质组学分析

Quantitative Proteomics Analysis of Developmental Reprogramming in Protoplasts of the Moss Physcomitrella patens.

作者信息

Wang Xiaoqin, Chen Lu, Yang Aizhen, Bu Chunya, He Yikun

机构信息

Key Laboratory of Urban Agriculture (North China), Ministry of Agriculture, Beijing University of Agriculture, Beijing, China.

Beijing Collaborative Innovation Center for Eco-environmental Improvement with Forestry and Fruit trees, Beijing University of Agriculture, Beijing, China.

出版信息

Plant Cell Physiol. 2017 May 1;58(5):946-961. doi: 10.1093/pcp/pcx039.

Abstract

The moss Physcomitrella patens is a model system for studying Plant developmental processes. To better understand the biochemical and physiological changes involved in developmental reprogramming, we conducted a quantitative proteomics analysis for protonemata, protoplasts made therefrom and protoplasts regenerated for 2 d. Using an iTRAQ peptide labeling strategy and liquid chromatography-tandem mass spectrometry (LC-MS/MS), >3,000 peptides and 1,000 proteins were quantified. Of these, 162 proteins were identified as having differential abundances during developmental reprogramming. These proteins were involved in various biological functions, such as defense, energy production, translation, metabolism, protein destination and storage, transcription, transport, cell growth/division, cell structure and signal transduction. Of these, the proteins involved in energy production and translation increased in abundance, while many of the metabolism and defense proteins decreased in abundance. In addition, most of the cell growth/division, protein stability and cell structure proteins were also down-regulated. This is the first report on the metabolic changes involved in developmental reprogramming in protoplasts. The significance of metabolic networks in developmental programming is beginning to emerge. Our study suggested that stress signals, energy metabolism and ribosomal proteins are pivotal components during developmental programming.

摘要

小立碗藓是研究植物发育过程的模式系统。为了更好地理解发育重编程过程中涉及的生化和生理变化,我们对原丝体、由其制备的原生质体以及再生2天的原生质体进行了定量蛋白质组学分析。采用iTRAQ肽标记策略和液相色谱-串联质谱(LC-MS/MS)技术,对3000多个肽段和1000多种蛋白质进行了定量分析。其中,有162种蛋白质被鉴定为在发育重编程过程中丰度存在差异。这些蛋白质参与了多种生物学功能,如防御、能量产生、翻译、代谢、蛋白质定位与储存、转录、运输、细胞生长/分裂、细胞结构和信号转导。其中,参与能量产生和翻译的蛋白质丰度增加,而许多代谢和防御蛋白质的丰度下降。此外,大多数细胞生长/分裂、蛋白质稳定性和细胞结构蛋白也下调。这是关于原生质体发育重编程过程中代谢变化的首次报道。代谢网络在发育编程中的重要性正逐渐显现。我们的研究表明,应激信号、能量代谢和核糖体蛋白是发育编程过程中的关键组成部分。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验