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MRM validation of targeted nonglycosylated peptides from N-glycoprotein biomarkers using direct trypsin digestion of undepleted human plasma

机译:使用直接胰蛋白酶消化未消耗人血浆从N-糖蛋白生物标记物靶向非糖基化肽段的MRM验证

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摘要

A rapid, simple, and reproducible MRM-based validation method for serological glycoprotein biomarkers in clinical use was developed by targeting the nonglycosylated tryptic peptides adjacent to N-glycosylation sites. Since changes in protein glycosylation are known to be associated with a variety of diseases, glycoproteins have been major targets in biomarker discovery. We previously found that nonglycosylated tryptic peptides adjacent to N-glycosylation sites differed in concentration between normal and hepatocellular carcinoma (HCC) plasma due to differences in steric hindrance of the glycan moiety in N-glycoproteins to tryptic digestion (Lee et al., 2011). To increase the feasibility and applicability of clinical validation of biomarker candidates (nonglycosylated tryptic peptides), we developed a method to effectively monitor nonglycosylated tryptic peptides from a large number of plasma samples and to reduce the total analysis time with maximizing the effect of steric hindrance by the glycans during digestion of glycoproteins. The AUC values of targeted nonglycosylated tryptic peptides were excellent (0.955 for GQYCYELDEK, 0.880 for FEDGVLDPDYPR and 0.907 for TEDTIFLR), indicating that these could be effective biomarkers for hepatocellular carcinoma. This method provides the necessary throughput required to validate glycoprotein biomarkers, as well as quantitative accuracy for human plasma analysis, and should be amenable to clinical use. Biological significance: Difficulties in verifying and validating putative protein biomarkers are often caused by complex sample preparation procedures required to determine their concentrations in a large number of plasma samples. To solve the difficulties, we developed MRM-based protein biomarker assays that greatly reduce complex, time-consuming, and less reproducible sample pretreatment steps in plasma for clinical implementation.First, we used undepleted human plasma samples without any enrichment procedures. Using nanoLC/MS/MS, we targeted nonglycosylated tryptic peptides adjacent to N-linked glycosylation sites in N-linked glycoprotein biomarkers, which could be detected in human plasma samples without depleting highly abundant proteins.Second, human plasma proteins were digested with trypsin without reduction and alkylation procedures to minimize sample preparation.Third, trypsin digestion times were shortened so as to obtain reproducible results with maximization of the steric hindrance effect of the glycans during enzyme digestion.Finally, this rapid and simple sample preparation method was applied to validate targeted nonglycosylated tryptic peptides as liver cancer biomarker candidates for diagnosis in 40 normal and 41 hepatocellular carcinoma (HCC) human plasma samples.This strategy provided the necessary throughput required to monitor protein biomarkers, as well as quantitative accuracy in human plasma analysis. From biomarker discovery to clinical implementation, our method will provide a biomarker study platform that is suitable for clinical deployment, and can be applied to high-throughput approaches.
机译:通过靶向邻近N-糖基化位点的非糖基化胰蛋白酶肽,开发了一种快速,简单且可重现的基于MRM的临床使用中血清糖蛋白生物标记物验证方法。由于已知蛋白质糖基化的变化与多种疾病有关,因此糖蛋白已成为生物标记物发现的主要目标。先前我们发现,由于N-糖蛋白中聚糖部分对胰蛋白酶消化的空间位阻不同,与N-糖基化位点相邻的非糖基化胰蛋白酶肽的浓度在正常和肝细胞癌(HCC)血浆中存在差异(Lee等,2011)。 。为了提高生物标志物候选物(非糖基化胰蛋白酶肽)临床验证的可行性和适用性,我们开发了一种方法,可以有效地监测大量血浆样品中的非糖基化胰蛋白酶肽,并减少总分析时间,同时最大程度地提高空间位阻效应。糖蛋白消化过程中的聚糖。靶向的非糖基化胰蛋白酶肽的AUC值极佳(GQYCYELDEK为0.955,FEDGVLDPDYPR为0.880,TEDTIFLR为0.907),表明它们可能是肝细胞癌的有效生物标志物。该方法提供了验证糖蛋白生物标志物所需的必需通量,以及人类血浆分析的定量准确性,并且应适合临床使用。生物学意义:验证和验证推定的蛋白质生物标志物的困难通常是由于需要复杂的样品制备程序来确定其在大量血浆样品中的浓度所致。为了解决这些难题,我们开发了基于MRM的蛋白质生物标志物测定方法,可大大减少血浆中复杂,耗时且可重复性较低的样品预处理步骤的临床应用。首先,我们使用未消耗的人体血浆样品,但未进行任何富集程序。使用nanoLC / MS / MS,我们靶向N-糖蛋白生物标记中N-糖基化位点附近的非糖基化胰蛋白酶肽,可以在人血浆样品中检测到它,而不会消耗高度丰富的蛋白质。还原和烷基化步骤以最小化样品制备。第三,缩短了胰蛋白酶的消化时间,从而获得了可再现的结果,同时最大程度地提高了酶消化过程中聚糖的空间位阻效应。最后,该快速,简单的样品制备方法用于验证目标非糖基化胰蛋白酶肽可作为肝癌生物标志物的候选物,可在40例正常和41例肝细胞癌(HCC)人血浆样本中进行诊断。此策略提供了监测蛋白质生物标志物所需的必需通量以及人血浆分析中的定量准确性。从生物标记物发现到临床实施,我们的方法将提供适合临床部署的生物标记物研究平台,并可应用于高通量方法。

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