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基于生色团标记的含组氨酸和酪氨酸肽段的选择性紫外光解离(UVPD)简化自下而上的蛋白质鉴定

Streamlining bottom-up protein identification based on selective ultraviolet photodissociation (UVPD) of chromophore-tagged histidine- and tyrosine-containing peptides.

作者信息

Aponte Julia R, Vasicek Lisa, Swaminathan Jagannath, Xu Hua, Koag Myong Chul, Lee Seongmin, Brodbelt Jennifer S

机构信息

Department of Chemistry, The University of Texas at Austin , 1 University Station A5300, Austin, Texas 78712, United States.

出版信息

Anal Chem. 2014 Jul 1;86(13):6237-44. doi: 10.1021/ac403654m. Epub 2014 Jun 16.

Abstract

We report a fast and highly efficient diazonium reaction that couples a nitroazobenzene chromophore to tyrosine and histidine residues, thus endowing peptides with high photoabsorption cross sections at 351 nm in the gas phase. Only the tagged peptides undergo ultraviolet photodissociation (UVPD) at 351 nm, as demonstrated for several Tyr- and His-containing peptides from protein digests. Additional selectivity is achieved by the integration of the UVPD-MS method with an in silico database search restricted to Tyr- and His-containing peptides. A modified MassMatrix algorithm condenses analysis by filtering the input database file to include Tyr/His-containing peptides only, thus reducing the search space and increasing confidence. In summary, derivatization of specific amino acid residues in conjunction with selective activation of the derivatized peptides provides a streamlined approach to shotgun proteomics.

摘要

我们报道了一种快速且高效的重氮反应,该反应将硝基偶氮苯发色团与酪氨酸和组氨酸残基偶联,从而使肽段在气相中于351 nm处具有高的光吸收截面。如对蛋白质消化产生的几种含酪氨酸和组氨酸的肽段所证明的那样,只有标记的肽段在351 nm处发生紫外光解离(UVPD)。通过将UVPD-MS方法与仅限于含酪氨酸和组氨酸肽段的计算机数据库搜索相结合,可实现额外的选择性。一种改进的MassMatrix算法通过过滤输入数据库文件以仅包括含酪氨酸/组氨酸的肽段来精简分析,从而减少搜索空间并提高可信度。总之,特定氨基酸残基的衍生化与衍生化肽段的选择性激活相结合,为鸟枪法蛋白质组学提供了一种简化的方法。

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