蛋白质组学
蛋白质组
定量蛋白质组学
计算生物学
质谱法
仿形(计算机编程)
无标记量化
色谱分离
色谱法
生物
化学
计算机科学
生物信息学
生物化学
高效液相色谱法
基因
操作系统
作者
Andrea Matros,Stephanie Kaspar,Katja Witzel,Hans‐Peter Mock
出处
期刊:Phytochemistry
[Elsevier]
日期:2010-12-21
卷期号:72 (10): 963-974
被引量:71
标识
DOI:10.1016/j.phytochem.2010.11.009
摘要
Recent innovations in liquid chromatography–mass spectrometry (LC–MS)-based methods have facilitated quantitative and functional proteomic analyses of large numbers of proteins derived from complex samples without any need for protein or peptide labelling. Regardless of its great potential, the application of these proteomics techniques to plant science started only recently. Here we present an overview of label-free quantitative proteomics features and their employment for analysing plants. Recent methods used for quantitative protein analyses by MS techniques are summarized and major challenges associated with label-free LC–MS-based approaches, including sample preparation, peptide separation, quantification and kinetic studies, are discussed. Database search algorithms and specific aspects regarding protein identification of non-sequenced organisms are also addressed. So far, label-free LC–MS in plant science has been used to establish cellular or subcellular proteome maps, characterize plant–pathogen interactions or stress defence reactions, and for profiling protein patterns during developmental processes. Improvements in both, analytical platforms (separation technology and bioinformatics/statistical analysis) and high throughput nucleotide sequencing technologies will enhance the power of this method.
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