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Characterizing the Range of Naturally-Occurring Post-Translational Modifications in the Proteomes of Microbial Isolates and Consortia

机译:表征微生物分离物和联盟蛋白质蛋白质蛋白质蛋白质蛋白质中的自然发生的翻译后修饰范围

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Post-translation modifications (PTM) are a critical means by which protein function, and even localization, can be controllably regulated. Thus, proteomic experiments aimed at comprehensive characterization of cellular activity must involve PTM characterizations as a critical measurement component. One of the challenges associated with PTM determinations is the ability to detect and accurately assign a PTM to a specific site within a protein in complex samples. High performance LC-MS/MS approaches afford a powerful method of examining a range of natural PTMs, provided that the experimental metrics and computational data-mining approaches are controlled to minimize false discovery rates. We have developed an integrated experimental/bioinformatic methodology that can be used to characterize the most important PTMs for microbial systems, even for microbial communities. Our approach involved high performance LTQ-Orbitrap-MS utilizing decision-tree based integrated CAD and ETD fragmentation technologies.
机译:后翻版修改(PTM)是可以控制蛋白质功能,甚至定位的关键方法,可以控制。因此,旨在综合表征细胞活性的蛋白质组学实验必须涉及PTM表征作为关键测量组分。与PTM测定相关的挑战之一是能够检测和准确地将PTM分配给复杂样品中蛋白质中的特定部位。提供高性能LC-MS / MS接近能够检查一系列天然PTM的强大方法,只要控制实验度量和计算数据采矿方法以最小化虚假发现率。我们开发了一种综合实验/生物信息化方法,可用于表征微生物系统的最重要的PTM,甚至用于微生物社区。我们的方法涉及高性能LTQ-Orbitrap-MS利用基于决策树的集成CAD和ETD碎片技术。

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