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Harnessing High-Resolution Mass Spectrometry and High-Performance Supercomputing for Broad-Range PTM Identification from Microorganisms

机译:利用高分辨率质谱和高性能超级计算从微生物中的广场PTM鉴定

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Many proteins in eukaryotic organisms, such as histones, are modified by multiple post-translational modifications (PTMs). However, the prevalence of such combinatorial PTMs in microorganisms is largely unknown. Combinatorial PTMs are known to act collectively to regulate protein activities. To study proteome-wide PTM interactions requires the ability to globally identity and quantify a broad range of PTMs. Here, we present a method combining high-resolution mass spectrometry with scalable parallel supercomputing on the Titan, currently the world's fastest supercomputer, to identify and quantify a broad range of PTMs, including oxidation, deamidation, citrullinat ion, hydroxylation, mono-, di-, and trimethylation, acetylation, phosphorylation, s-nitrosylation, nitration, methylthiolation from laboratory-grown E. coli and free-living microorganisms in a natural microbial community. We demonstrate an optimized high-performance mass spectrometry-based shotgun proteomics for the identification of a broad range of PTMs from microbial isolates and natural environmental communities.
机译:通过多重翻译后修饰(PTMS)来修饰真核生物中的许多蛋白质。然而,微生物中这种组合PTM的患病率在很大程度上是未知的。已知组合PTMS共同调节蛋白质活性。研究蛋白质全组PTM相互作用需要全局身份的能力并量化广泛的PTM。这里,我们提出了一种将高分辨率质谱与泰坦上的可扩展平行超级计算的方法,目前是世界上最快的超级计算机,以识别和量化广泛的PTM,包括氧化,脱酰胺,柑橘素离子,羟基化,单,,二 - 和三甲基化,乙酰化,磷酸化,S-亚硝基化,硝化,从实验室生长的大肠杆菌和自然微生物群中的自由生物微生物中的甲基化。我们展示了一种优化的高性能质谱基霰弹​​枪蛋白质组学,用于鉴定来自微生物隔离物和天然环境社区的广泛PTM。

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