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An overview of proteomic approaches for farm animal research

机译:蛋白质组学方法在农场动物研究中的概述

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Proteomics has been used now for several decades and it is considered as a fast-evolving technology. Novelties are directly linked with new features in mass spectrometry and automation. Proteomics aims at identifying and quantifying large numbers of proteins expressed in a particular system: detection of disease markers, study of posttranslational modifications, cataloguing the highest number of proteins present in a cell type, analysing the interactions between cell compartments, and many other biological questions can be addressed and the panel of techniques used to reach the goal are numerous (Lottspeich et al, 2010). While the first 2D gels performed in the seventies allow resolving few hundreds of proteins from E. coli, nowadays the number of detected proteins has been drastically increased and considerable progress has been made for their identification and/or characterization. However, researchers are still facing many challenges: complexity of the samples, reproducibility, quantitative analysis, dynamic aspects and so on. For example, highly abundant proteins (such as albumin) can hide those that are present in lower amount but being essential such as transcription factors; salts used during the extraction steps or in culture medium can also bring problems in gels but also in the mass spectra...Another aspect that should be considered is the availability of protein sequences in public databases, that can create difficulties.
机译:蛋白质组学已经使用了几十年,被认为是一种快速发展的技术。新颖性与质谱分析和自动化的新功能直接相关。蛋白质组学旨在鉴定和定量在特定系统中表达的大量蛋白质:检测疾病标记,研究翻译后修饰,对细胞类型中存在的蛋白质数量进行分类,分析细胞区室之间的相互作用以及许多其他生物学问题可以解决这个问题,并且用于实现目标的技术小组很多(Lottspeich等,2010)。尽管在七十年代进行的第一批2D凝胶分析可从大肠杆菌中分离出数百种蛋白质,但如今,检测到的蛋白质数量已大大增加,并且在鉴定和/或表征方面已取得了可观的进步。但是,研究人员仍然面临许多挑战:样品的复杂性,可重复性,定量分析,动态方面等。例如,高度丰富的蛋白质(例如白蛋白)可以掩盖含量较低但必需的蛋白质,例如转录因子;提取步骤或培养基中使用的盐也会给凝胶带来问题,但也会给质谱带来问题...应考虑的另一个方面是公共数据库中蛋白质序列的可用性,这可能会造成困难。

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