Automated N-glycopeptide identification using a combination of single- and tandem-MS
Automated N-glycopeptide identification using a combination of single- and tandem-MS
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DOI：
10.1021/pr070239f
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发表时间：
2007-10-01
影响因子：
4.4
通讯作者：
Dell, Anne
中科院分区：
文献类型：
--
作者：
Goldberg, David;Bern, Marshall;Dell, Anne
我们描述了Peptoonist，一个程序，可以自动识别聚糖（糖）存在于每个N-糖基化位点的蛋白质。Peptoonist的输入是一系列质谱（MS和MS/MS），来自蛋白水解消化的纯化糖蛋白的液相色谱（LC）运行。该程序使用MS/MS鉴定糖基化肽，并使用单MS鉴定这些肽中每种肽上存在的N-聚糖，至少达到单糖组成水平。我们验证了程序的LC运行的小鼠透明质酸蛋白，已被密集的手工注释的人类专家。我们的程序使糖肽鉴定的数量增加了一倍，并且还发现了手工注释中的几个可能的错误。此外，它自动进行了与专家注释器相同的大多数聚糖异构体鉴定。
We describe Peptoonist, a program that can automatically identify the glycans (sugars) present at each N-glycosylation site of a protein. The input to Peptoonist is a series of mass spectra, both MS and MS/MS, obtained from a liquid chromatography (LC) run of proteolytically digested purified glycoproteins. The program uses MS/MS to identify glycosylated peptides and single-MS to identify the N-glycans present on each of these peptides, at least to the level of monosaccharide composition. We validate the program on an LC run of mouse zona pellucida proteins that had been intensively hand annotated by a human expert. Our program doubled the number of glycopeptide identifications, and also found several possible errors in the hand annotation. In addition, it automatically made most of the same glycan isomer identifications as the expert annotator.