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基于非糖肽的质谱分析策略用于肝细胞癌糖蛋白生物标志物的发现:一种简单高效的方法。

Straightforward and Highly Efficient Strategy for Hepatocellular Carcinoma Glycoprotein Biomarker Discovery Using a Nonglycopeptide-Based Mass Spectrometry Pipeline.

出版信息

Anal Chem. 2019 Oct 1;91(19):12435-12443. doi: 10.1021/acs.analchem.9b03074. Epub 2019 Sep 9.

Abstract

Efficient detection of aberrant glycoproteins in serum is particularly important for biomarker discovery. However, direct quantitation of glycoproteins in serum remains technically challenging because of the extraordinary complexity of the serum proteome. In the current work, we proposed a straightforward and highly efficient strategy by using the nonglycopeptides releasing from the specifically enriched glycoproteins for targeted glycoprotein quantification. With this so-called nonglycopeptide-based mass spectrometry (NGP-MS) strategy, a powerful and nondiscriminatory pipeline for hepatocellular carcinoma (HCC) glycoprotein biomarker discovery, verification, and validation has been developed. First, a data set of 234 NGPs was strictly established for multiple-reaction monitoring (MRM) quantification in serum. Second, the NGPs enriched from 20 HCC serum mixtures and 20 normal serum mixtures were labeled with mTRAQ reagents (Δ0 and Δ8, respectively) to find the differentially expressed glycoproteins in HCC. A total of 97 glycoprotein candidates were preliminarily screened and submitted for absolute quantitation with NGP-based stable-isotope-labeled (SID)-MRM in the individual samples of 38 HCC serum and 24 normal controls. Finally, 21 glycoproteins were absolutely quantified with high quality. The diagnostic sensitivity results showed that three glycoproteins, β-2-glycoprotein 1 (APOH), α-1-acid glycoprotein 2 (ORM2), and complement C3 (C3), could be used for the discrimination between HCC patients and healthy people. A novel glycoprotein biomarker panel [APOH, ORM2, C3, and α-fetoprotein (AFP)] has proven to outperform AFP, the known HCC serum biomarker, alone, in this study. We believe that this strategy and the panel of glycoproteins might hold great clinical value for HCC detection in the future.

摘要

高效检测血清中的异常糖蛋白对于生物标志物的发现尤为重要。然而,由于血清蛋白质组的复杂性极高,直接定量血清中的糖蛋白在技术上仍然具有挑战性。在目前的工作中,我们提出了一种简单而高效的策略,即利用从特异性富集的糖蛋白中释放的非糖肽进行靶向糖蛋白定量。利用这种所谓的基于非糖肽的质谱(NGP-MS)策略,我们开发了一种强大且无歧视性的肝细胞癌(HCC)糖蛋白生物标志物发现、验证和验证的流水线。首先,严格建立了 234 个 NGPs 的数据集,用于血清中的多重反应监测(MRM)定量。其次,从 20 个 HCC 血清混合物和 20 个正常血清混合物中富集的 NGPs 分别用 mTRAQ 试剂(分别为Δ0 和Δ8)标记,以找到 HCC 中差异表达的糖蛋白。共初步筛选出 97 个糖蛋白候选物,并在 38 个 HCC 血清和 24 个正常对照的个体样本中进行基于 NGP 的稳定同位素标记(SID)-MRM 的绝对定量。最后,用高质量绝对定量了 21 个糖蛋白。诊断灵敏度结果表明,β-2-糖蛋白 1(APOH)、α-1-酸性糖蛋白 2(ORM2)和补体 C3(C3)这三种糖蛋白可用于区分 HCC 患者和健康人群。在这项研究中,与单独使用已知的 HCC 血清生物标志物甲胎蛋白(AFP)相比,新的糖蛋白生物标志物组 [APOH、ORM2、C3 和 AFP] 已被证明具有更高的诊断效能。我们相信,这种策略和糖蛋白组合在未来可能具有很大的临床价值,可用于 HCC 的检测。

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