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POSTMan(翻译后修饰分析),一款用于发现翻译后修饰的软件应用程序。

POSTMan (POST-translational modification analysis), a software application for PTM discovery.

作者信息

Arntzen Magnus Ø, Osland Christoffer Leif, Raa Christopher Rasch-Olsen, Kopperud Reidun, Døskeland Stein-Ove, Lewis Aurélia E, D'Santos Clive S

机构信息

PROBE Proteomic Platform, Department of Biomedicine, University of Bergen, Bergen, Norway.

出版信息

Proteomics. 2009 Mar;9(5):1400-6. doi: 10.1002/pmic.200800500.

DOI:10.1002/pmic.200800500
PMID:19253288
Abstract

Post-translationally modified peptides present in low concentrations are often not selected for CID, resulting in no sequence information for these peptides. We have developed a software POSTMan (POST-translational Modification analysis) allowing post-translationally modified peptides to be targeted for fragmentation. The software aligns LC-MS runs (MS(1) data) between individual runs or within a single run and isolates pairs of peptides which differ by a user defined mass difference (post-translationally modified peptides). The method was validated for acetylated peptides and allowed an assessment of even the basal protein phosphorylation of phenylalanine hydroxylase (PHA) in intact cells.

摘要

低浓度存在的翻译后修饰肽通常不会被选用于碰撞诱导解离(CID),导致这些肽没有序列信息。我们开发了一款软件POSTMan(翻译后修饰分析),可让翻译后修饰肽成为碎片化的目标。该软件能在单次运行内或不同单次运行之间比对液相色谱-质谱(LC-MS)运行结果(MS(1)数据),并分离出质量差异由用户定义的肽对(翻译后修饰肽)。该方法已针对乙酰化肽进行了验证,甚至能够评估完整细胞中苯丙氨酸羟化酶(PHA)的基础蛋白磷酸化情况。

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引用本文的文献

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Software Analysis of Uncorrelated MS1 Peaks for Discovery of Post-Translational Modifications.用于发现翻译后修饰的不相关MS1峰的软件分析
J Am Soc Mass Spectrom. 2015 Dec;26(12):2133-40. doi: 10.1007/s13361-015-1229-4. Epub 2015 Aug 12.