Mass spectrometry glycoproteomics is rapidly maturing, allowing unprecedented insights into the diversity and functions of protein glycosylation. However, quantitative glycoproteomics remains challenging. We developed GlypNirO, an automated software pipeline which integrates the complementary outputs of Byonic and Proteome Discoverer to allow high-throughput automated quantitative glycoproteomic data analysis. The output of GlypNirO is clearly structured, allowing manual interrogation, and is also appropriate for input into diverse statistical workflows. We used GlypNirO to analyse a published plasma glycoproteome dataset and identified changes in site-specific N- and O-glycosylation occupancy and structure associated with hepatocellular carcinoma as putative biomarkers of disease.

中文翻译：

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GlypNirO：自动化的工作流程，用于定量N和O链接的糖蛋白质组学数据分析。

质谱糖蛋白组学正在迅速成熟，可以对蛋白质糖基化的多样性和功能进行空前的洞察。但是，定量糖蛋白组学仍然具有挑战性。我们开发了GlypNirO，这是一个自动化的软件管道，集成了Byonic和Proteome Discoverer的互补输出，可以进行高通量的自动化定量糖蛋白组学数据分析。GlypNirO的输出结构清晰，允许手动查询，也适合输入到各种统计工作流中。我们使用GlypNirO分析了已发布的血浆糖蛋白组数据集，并确定了与肝细胞癌相关的特定位点N-和O-糖基化占有率和结构的变化，将其作为疾病的生物标记。