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A combinatorial approach to studying protein complex composition by employing size-exclusion chromatography and proteome analysis.

机译:一种通过尺寸排阻色谱和蛋白质组分析研究蛋白质复合物组成的组合方法。

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摘要

The genome sequences of numerous organisms are available now, but gene sequences alone do not provide sufficient information to accurately deduce protein functions. Protein function is largely dependent on the association of multiple polypeptide chains into large structures with interacting subunits that regulate and support each other. Therefore, the mapping of protein interaction networks in a physiological context is conducive to deciphering protein functions, including those of hypothetical proteins. Although several high-throughput methods to globally identify protein interactions have been reported in recent years, these approaches often have a high rate of nonspecific or artificial interactions detected. For instance, the fraction of false positives of the protein interactions identified by yeast two-hybrid assay has been predicted to be of the order of 50%. We have developed a strategy to globally map Bacillus subtilis protein-protein interactions in a physiological context by fractionating thecell lysates using size-exclusion chromatography (SEC), followed by proteome analysis. Components of both known and unknown protein complexes, multisubunits and multiproteins, have been identified using this strategy. In one case, the partners of the B. subtilis protein complex have been coexpressed in Escherichia coli, and the formation of the overexpressed protein complex has been further confirmed by a pull-down assay.
机译:现在有许多生物的基因组序列,但是仅基因序列并不能提供足够的信息来准确推断蛋白质的功能。蛋白质功能在很大程度上取决于多条多肽链与具有相互调节和相互支持的相互作用亚基的大结构的关联。因此,在生理环境中蛋白质相互作用网络的映射有利于破译蛋白质功能,包括假设蛋白质的功能。尽管近年来已经报道了几种高通量方法来全局鉴定蛋白质相互作用,但是这些方法通常具有很高的非特异性或人工相互作用检测率。例如,通过酵母双杂交测定法鉴定的蛋白质相互作用的假阳性分数已被预测为约50%。我们已经开发了一种策略,可以通过使用大小排阻色谱(SEC)分离细胞裂解物,然后进行蛋白质组分析来在生理环境中全局绘制枯草芽孢杆菌蛋白质-蛋白质相互作用的图谱。已知和未知蛋白复合物,多亚基和多蛋白的成分已使用此策略进行了鉴定。在一种情况下,枯草芽孢杆菌蛋白质复合物的伴侣已在大肠杆菌中共表达,并且通过下拉测定法进一步证实了过表达的蛋白质复合物的形成。

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