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Data-Dependent Electron Capture Dissociation FT-ICR Mass Spectrometry for Proteomic Analyses

机译:数据相关的电子捕获解离FT-ICR质谱用于蛋白质组学分析

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摘要

Electron capture dissociation (ECD) offers many benefits for the analysis of peptides and proteins,and consequently shows great potential for the field of proteomics. Recent developments have reduced the time scale required for ECD to milliseconds resulting in the technique's compatibility with on-line separation techniques,e.g.,HPLC. Here,we demonstrate incorporation of ECD into a high-throughput data-dependent LC-MS/MS approach for the analysis of proteomic samples. The approach is applied to analysis of the protein Fc-ROR2 isolated from chondrocytes and is the first example of LC-ECD-MS/MS of such a sample. Protein sequence coverage was 29%. Within that coverage,fifteen peptides were isolated and subjected to ECD. In most cases,the sequence tag generated by ECD was over 70% (in terms of the number of peptide backbone cleavages). The ECD data were searched against the nonredundant human NCBI database using the SEQUEST algorithm. Protein ROR2 was assigned,as was IgG (Fc domain). The results demonstrate the suitability of ECD as an integral technique in high-throughput proteomic strategies.
机译:电子捕获解离(ECD)为肽和蛋白质的分析提供了许多好处,因此在蛋白质组学领域显示出巨大的潜力。最近的发展已将ECD所需的时间标度减少到毫秒,从而使该技术与在线分离技术(例如HPLC)兼容。在这里,我们展示了结合ECD到高通量数据相关的LC-MS / MS方法来分析蛋白质组学样品。该方法适用于从软骨细胞分离的蛋白质Fc-ROR2的分析,并且是此类样品的LC-ECD-MS / MS的第一个示例。蛋白质序列覆盖率为29%。在该覆盖范围内,分离了十五种肽并进行了ECD。在大多数情况下,ECD产生的序列标签超过70%(就肽骨架裂解的数量而言)。使用SEQUEST算法针对非冗余人类NCBI数据库搜索ECD数据。分配了蛋白质ROR2,也分配了IgG(Fc结构域)。结果表明,ECD作为高通量蛋白质组学策略不可或缺的技术。

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