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Differential analysis of N-glycoproteome between hepatocellular carcinoma and normal human liver tissues by combination of multiple protease digestion and solid phase based labeling

机译:多种蛋白酶消化和固相标记相结合的肝细胞癌和正常人肝组织中N-糖蛋白的差异分析

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Background Dysregulation of glycoproteins is closely related with many diseases. Quantitative proteomics methods are powerful tools for the detection of glycoprotein alterations. However, in almost all quantitative glycoproteomics studies, trypsin is used as the only protease to digest proteins. This conventional method is unable to quantify N-glycosites in very short or long tryptic peptides and so comprehensive glycoproteomics analysis cannot be achieved. Methods In this study, a comprehensive analysis of the difference of N-glycoproteome between hepatocellular carcinoma (HCC) and normal human liver tissues was performed by an integrated workflow combining the multiple protease digestion and solid phase based labeling. The quantified N-glycoproteins were analyzed by GoMiner to obtain a comparative view of cellular component, biological process and molecular function. Results/conclusions An integrated workflow was developed which enabled the processes of glycoprotein coupling, protease digestion and stable isotope labeling to be performed in one reaction vessel. This workflow was firstly evaluated by analyzing two aliquots of the same protein extract from normal human liver tissue. It was demonstrated that the multiple protease digestion improved the glycoproteome coverage and the quantification accuracy. This workflow was further applied to the differential analysis of N-glycoproteome of normal human liver tissue and that with hepatocellular carcinoma. A total of 2,329 N-glycosites on 1,052 N-glycoproteins were quantified. Among them, 858 N-glycosites were quantified from more than one digestion strategy with over 99% confidence and 1,104 N-glycosites were quantified from only one digestion strategy with over 95% confidence. By comparing the GoMiner results of the N-glycoproteins with and without significant changes, the percentage of membrane and secreted proteins and their featured biological processes were found to be significant different revealing that protein glycosylation may play the vital role in the development of HCC.
机译:背景技术糖蛋白的失调与许多疾病密切相关。定量蛋白质组学方法是检测糖蛋白变化的有力工具。但是,在几乎所有的定量糖蛋白组学研究中,胰蛋白酶都被用作消化蛋白质的唯一蛋白酶。这种常规方法无法定量非常短或很长的胰蛋白酶肽中的N-糖苷,因此无法实现全面的糖蛋白组学分析。方法在本研究中,通过结合多种蛋白酶消化和基于固相的标记的集成工作流程,对肝细胞癌(HCC)与正常人肝组织之间N-糖蛋白组的差异进行了综合分析。 GoMiner分析了定量的N-糖蛋白,从而获得了细胞成分,生物学过程和分子功能的比较视图。结果/结论开发了一种集成的工作流程,该流程使糖蛋白偶联,蛋白酶消化和稳定同位素标记的过程能够在一个反应​​容器中进行。首先通过分析来自正常人肝组织的相同蛋白质提取物的两个等分试样来评估该工作流程。证明了多重蛋白酶消化提高了糖蛋白组的覆盖率和定量准确性。此工作流程进一步应用于正常人肝组织和肝细胞癌N-糖蛋白组的差异分析。定量了1,052种N-糖蛋白上的2,329种N-糖苷。其中,从一种以上的消化策略中以超过99%的置信度对858种N-糖苷进行定量,而仅一种消化策略中的95%的置信度对1,104种N-糖基进行了定量。通过比较N-糖蛋白在有和没有显着变化的情况下的GoMiner结果,发现膜和分泌蛋白的百分比及其特征生物学过程存在显着差异,这表明蛋白糖基化可能在肝癌的发展中起着至关重要的作用。

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