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EnCOUNTer: a parsing tool to uncover the mature N-terminus of organelle-targeted proteins in complex samples

机译:EnCOUNTer:一种解析工具可揭示复杂样品中细胞器靶向蛋白的成熟N末端

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摘要

BackgroundCharacterization of mature protein N-termini by large scale proteomics is challenging. This is especially true for proteins undergoing cleavage of transit peptides when they are targeted to specific organelles, such as mitochondria or chloroplast. Protein neo-N-termini can be located up to 100–150 amino acids downstream from the initiator methionine and are not easily predictable. Although some bioinformatics tools are available, they usually require extensive manual validation to identify the exact N-terminal position. The situation becomes even more complex when post-translational modifications take place at the neo-N-terminus. Although N-terminal acetylation occurs mostly in the cytosol, it is also observed in some organelles such as chloroplast. To date, no bioinformatics tool is available to define mature protein starting positions, the associated N-terminus acetylation status and/or yield for each proteoform. In this context, we have developed the EnCOUNTer tool (i) to score all characterized peptides using discriminating parameters to identify bona fide mature protein N-termini and (ii) to determine the N-terminus acetylation yield of the most reliable ones.
机译:背景技术通过大规模蛋白质组学表征成熟蛋白N末端具有挑战性。当蛋白质靶向特定的细胞器(例如线粒体或叶绿体)时,对转运肽进行切割的蛋白质尤其如此。蛋白Neo-N-末端可以位于引发剂蛋氨酸下游最多100-150个氨基酸处,并且不容易预测。尽管可以使用某些生物信息学工具,但是它们通常需要大量的手动验证才能确定确切的N末端位置。当翻译后修饰在neo-N末端发生时,情况变得更加复杂。尽管N末端乙酰化主要发生在细胞质中,但在某些细胞器(例如叶绿体)中也观察到了乙酰化。迄今为止,尚无生物信息学工具可用于定义成熟蛋白的起始位置,相关的N末端乙酰化状态和/或每种蛋白形式的产量。在这种情况下,我们开发了EnCOUNTer工具(i)使用区分参数对所有表征的肽进行评分,以识别真正的成熟蛋白N-末端,以及(ii)确定最可靠的肽的N-末端乙酰化产率。

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