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植物中蛋白质分泌的生物信息学分析

Bioinformatics Analysis of Protein Secretion in Plants.

作者信息

Chen Liyuan

机构信息

RGC-AoE Centre for Organelle Biogenesis and Function, School of Life Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China.

出版信息

Methods Mol Biol. 2017;1662:33-43. doi: 10.1007/978-1-4939-7262-3_3.

Abstract

In sessile plants, the dynamic protein secretion pathways orchestrate the cellular responses to internal signals and external environmental changes in almost every aspect of plant developmental events. The cohort of plant proteins, secreted from the plant cells into the extracellular matrix, has been annotated as plant secretome. Therefore, the identification and characterization of secreted proteins will discover novel secretory potentials and establish the functional connection between cellular protein secretion and plant physiological phenomena. Noteworthy, an increasing number of bioinformatics databases and tools have been developed for computational predictions on either secreted proteins or secretory pathways. This chapter summarizes current accessible databases and tools for protein secretion analysis in Arabidopsis thaliana and higher plants, and provides feasible methodologies for bioinformatics analysis of secretome studies for the plant research community.

摘要

在固着生长的植物中,动态的蛋白质分泌途径几乎在植物发育事件的各个方面协调细胞对内部信号和外部环境变化的反应。从植物细胞分泌到细胞外基质的一组植物蛋白被称为植物分泌组。因此,分泌蛋白的鉴定和表征将发现新的分泌潜力,并建立细胞蛋白质分泌与植物生理现象之间的功能联系。值得注意的是,已经开发了越来越多的生物信息学数据库和工具,用于对分泌蛋白或分泌途径进行计算预测。本章总结了目前可用于拟南芥和高等植物蛋白质分泌分析的数据库和工具,并为植物研究界提供了分泌组研究生物信息学分析的可行方法。

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