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通过结合 MS/MS 方法和适用于正、负离子 193nm 紫外光解离质谱数据库搜索的改良生物信息学平台,扩展蛋白质组覆盖范围。

Extending Proteome Coverage by Combining MS/MS Methods and a Modified Bioinformatics Platform Adapted for Database Searching of Positive and Negative Polarity 193 nm Ultraviolet Photodissociation Mass Spectra.

机构信息

Department of Chemistry , University of Texas at Austin , Austin , Texas 78712 , United States.

Protein Metrics, Inc., San Carlos , California 94070 , United States.

出版信息

J Proteome Res. 2018 Apr 6;17(4):1340-1347. doi: 10.1021/acs.jproteome.7b00673. Epub 2018 Mar 2.

Abstract

To extend proteome coverage obtained from bottom-up mass spectrometry approaches, three complementary ion activation methods, higher energy collision dissociation (HCD), ultraviolet photodissociation (UVPD), and negative mode UVPD (NUVPD), are used to interrogate the tryptic peptides in a human hepatocyte lysate using a high performance Orbitrap mass spectrometer. The utility of combining results from multiple activation techniques (HCD+UVPD+NUVPD) is analyzed for total depth and breadth of proteome coverage. This study also benchmarks a new version of the Byonic algorithm, which has been customized for database searches of UVPD and NUVPD data. Searches utilizing the customized algorithm resulted in over 50% more peptide identifications for UVPD and NUVPD tryptic peptide data sets compared to other search algorithms. Inclusion of UVPD and NUVPD spectra resulted in over 600 additional protein identifications relative to HCD alone.

摘要

为了扩展从自上而下的质谱方法获得的蛋白质组覆盖范围,使用三种互补的离子激活方法,即高能量碰撞解离(HCD)、紫外光解离(UVPD)和负模式紫外光解离(NUVPD),使用高性能轨道阱质谱仪分析人肝细胞裂解物中的胰蛋白酶肽。分析了结合多种激活技术(HCD+UVPD+NUVPD)的结果在蛋白质组覆盖的总深度和广度方面的应用。本研究还对一种新的 Byonic 算法版本进行了基准测试,该算法针对 UVPD 和 NUVPD 数据的数据库搜索进行了定制。与其他搜索算法相比,使用定制算法进行搜索可使 UVPD 和 NUVPD 肽数据集的肽鉴定增加 50%以上。与单独使用 HCD 相比,包括 UVPD 和 NUVPD 谱图可使蛋白质鉴定增加 600 多个。

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