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本文引用的文献

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Lectin-based glycoproteomics to explore and analyze hepatocellular carcinoma-related glycoprotein markers.基于凝集素的糖蛋白质组学用于探索和分析肝细胞癌相关糖蛋白标志物。
Electrophoresis. 2009 Sep;30(17):2957-2966. doi: 10.1002/elps.200900064.
2
Quantitative serum glycomics of esophageal adenocarcinoma and other esophageal disease onsets.食管腺癌及其他食管疾病发病的血清定量糖组学
J Proteome Res. 2009 Jun;8(6):2656-66. doi: 10.1021/pr8008385.
3
Bioinformatics analysis of mass spectrometry-based proteomics data sets.基于质谱的蛋白质组学数据集的生物信息学分析。
FEBS Lett. 2009 Jun 5;583(11):1703-12. doi: 10.1016/j.febslet.2009.03.035. Epub 2009 Mar 21.
4
Type 3 cystatins; fetuins, kininogen and histidine-rich glycoprotein.3型胱抑素;胎球蛋白、激肽原和富含组氨酸的糖蛋白。
Front Biosci (Landmark Ed). 2009 Jan 1;14(8):2911-22. doi: 10.2741/3422.
5
Glycosylation changes on serum glycoproteins in ovarian cancer may contribute to disease pathogenesis.卵巢癌患者血清糖蛋白的糖基化变化可能与疾病发病机制有关。
Dis Markers. 2008;25(4-5):219-32. doi: 10.1155/2008/601583.
6
ProteinQuant Suite: a bundle of automated software tools for label-free quantitative proteomics.蛋白质定量套件:一套用于无标记定量蛋白质组学的自动化软件工具。
Rapid Commun Mass Spectrom. 2008 Dec;22(23):3823-34. doi: 10.1002/rcm.3781.
7
A strategy to reveal potential glycan markers from serum glycoproteins associated with breast cancer progression.一种从与乳腺癌进展相关的血清糖蛋白中揭示潜在聚糖标志物的策略。
Glycobiology. 2008 Dec;18(12):1105-18. doi: 10.1093/glycob/cwn095. Epub 2008 Sep 25.
8
Efficacy of glycoprotein enrichment by microscale lectin affinity chromatography.通过微量凝集素亲和色谱法富集糖蛋白的功效。
J Sep Sci. 2008 Aug;31(14):2722-32. doi: 10.1002/jssc.200800094.
9
Breast cancer diagnosis and prognosis through quantitative measurements of serum glycan profiles.通过血清聚糖谱的定量测量进行乳腺癌的诊断和预后评估。
Clin Chem. 2008 Jul;54(7):1166-75. doi: 10.1373/clinchem.2007.087148. Epub 2008 May 16.
10
Type I collagen expression contributes to angiogenesis and the development of deeply invasive cutaneous melanoma.I型胶原蛋白的表达有助于血管生成和深度浸润性皮肤黑色素瘤的发展。
Int J Cancer. 2008 Mar 1;122(5):1019-29. doi: 10.1002/ijc.23147.

糖基化血清糖蛋白的定量研究及其在食管腺癌中的应用。

A quantitative investigation of fucosylated serum glycoproteins with application to esophageal adenocarcinoma.

机构信息

Department of Chemistry, Indiana University, Bloomington, IN 47405, USA.

出版信息

Electrophoresis. 2010 Jun;31(11):1833-41. doi: 10.1002/elps.201000046.

DOI:10.1002/elps.201000046
PMID:20446296
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3078823/
Abstract

Although glycoproteomic studies provide unique opportunities for cancer research, it has been necessary to develop specific methods for analysis of oncologically interesting glycoproteins. We describe a general, multimethodological approach for quantitative glycoproteomic analysis of fucosylated glycoproteins in human blood serum. A total of 136 putative fucosylated glycoproteins were identified with very high confidence in three clinically relevant sample pools (N=5 for each), with a mean CV of 3.1% observed for replicate analyses. Two samples were collected from subjects diagnosed with esophagus disease states, high-grade dysplasia plus esophageal adenocarcinoma, while the third sample was representative of a disease-free condition. Some glycoproteins, observed to be significantly upregulated in esophageal adenocarcinoma, i.e. more than twofold higher than in the disease-free condition, are briefly discussed. Further investigation will be necessary to validate these findings; however, the method itself is demonstrated to be an effective tool for quantitative glycoproteomics of clinical samples.

摘要

尽管糖蛋白质组学研究为癌症研究提供了独特的机会,但有必要开发专门的方法来分析具有肿瘤学意义的糖蛋白。我们描述了一种通用的、多方法学的方法,用于定量分析人血清中糖基化糖蛋白的岩藻糖基化。在三个具有临床相关性的样本池中(每个样本 5 个重复),非常有信心地鉴定出了 136 种假定的岩藻糖基化糖蛋白,观察到重复分析的平均 CV 为 3.1%。两个样本取自被诊断为食管疾病状态(高级别异型增生加食管腺癌)的受试者,而第三个样本代表无疾病状态。简要讨论了一些在食管腺癌中观察到明显上调的糖蛋白,即比无疾病状态高两倍以上。需要进一步的研究来验证这些发现;然而,该方法本身被证明是一种用于临床样本定量糖蛋白质组学的有效工具。