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Development of an integrative proteomics metabolomics and lipidomics methodology - a case study of plant defense molecular networks

机译:一种综合蛋白质组学代谢组科和脂质化学方法的研制 - 一种植物防御分子网络的案例研究

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摘要

Elucidation of complex molecular networks requires integrative analysis of molecular features and changes at different levels of information flow and regulation. Accordingly, high throughput functional genomics tools such as transcriptomics, proteomics, metabolomics and lipidomics have emerged to provide system-wide investigations. Unfortunately, analysis of different types of biomolecules requires specific sample extraction procedures in combination with specific analytical instrumentation. The most efficient extraction protocols often only cover a restricted type of biomolecules due to their different physico-chemical properties. Therefore, several sets/aliquots of the samples need to be collected for extraction of different biomolecules. To overcome this challenge, we adapted a bi-phasic fractionation method to extract proteins, metabolites, and lipids from the same sample for liquid chromatography-tandem mass spectrometry-based multi-omics. To document utility of the new method, we used uninfected leaves of bacterial pathogen-treated Arabidopsis plants to generate multi-omics datasets from the same sample. In total, we were able to identify and quantify 1849 proteins, 1967 metabolites and 425 lipid species by extracting the three components from single samples. The molecules were integrated into molecular networks. Our work demonstrates the clear advantages of the new multi-omics method, including sample conservation, high reproducibility, and tight correlation between different types of biomolecules.
机译:阐明复杂的分子网络需要分子特征的综合分析和不同水平的信息流和调节的变化。因此,已经出现了高通量功能基因组学工具,例如转录组,蛋白质组学,代谢组科和脂质化学,以提供全系统的调查。不幸的是,对不同类型的生物分子的分析需要与特定分析仪器组合的特定样品提取程序。由于其不同的物理化学性质,最有效的提取方案通常仅覆盖受限制的生物分子。因此,需要收集几种样品的样品用于提取不同的生物分子。为了克服这一挑战,我们适应了一种双相分级分馏方法,以从相同样品中提取蛋白质,代谢物和脂质,用于液相色谱 - 串联质谱法的多OMIC。为了记录新方法的效用,我们使用了从相同样品产生的细菌病原体治疗的拟南芥植物的未感染叶子以产生多OMICS数据集。总共可以通过从单个样品中提取三种组分来识别和量化1849个蛋白质,1967个代谢物和425种脂质物种。将分子集成到分子网络中。我们的作品展示了新的多OMICS方法的明显优势,包括样本养护,高再现性和不同类型的生物分子之间的紧密相关性。

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