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Profiling cancer biomarkers through metabolic oligosaccharide engineering and glycoproteomics.

机译:通过代谢寡糖工程和糖蛋白组学分析癌症生物标志物。

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摘要

Of the proteins approved by the Food and Drug Administration for use as biomarkers of cancer, the majority are post-translationally modified with glycans. Changes in glycan quantity and structure are associated with malignancy. However, glycosylation is not a DNA template-driven process; consequently, commonly used techniques in molecular biology are not adequate for glycoprotein analysis. The development of chemical tools for glycoprotein analysis has shown great promise for the identification of new biomarkers.;In Chapter 1, the techniques currently used to enrich and identify glycoproteins are surveyed. Cell-surface protein modification is highlighted in particular, as this class of proteins represents a significant group of cancer targets. Additional discussion of the use of mass spectrometry as an analytical tool for glycoprotein characterization is included. Finally, this chapter introduces the concept of using chemical functionalities to label glycans metabolically for subsequent identification. Chapter 2 describes the application of metabolic labeling to the study of fucosylation, up-regulation of which is associated with aggressive disease. These studies demonstrate that immortalized cancer cell lines will incorporate a fucose analog, 6-azidofucose, into cell-surface glycans.;In addition to labeling fucosylated glycans in cultured cells, the Bertozzi lab has shown that other azidosugars are metabolically incorporated into cell-surface glycoproteins in healthy mice, particularly in well-vascularized organs such as the liver. Chapters 3 and 4 describe efforts to establish the utility of metabolic labeling in various cancer models. Chapter 3 presents studies using a transgenic mouse model of liver cancer. Azidosugars were found to differentially label cancerous versus healthy tissue. In Chapter 4, a method for the specific labeling of cell-surface glycans in prostate cancer cell lines and the subsequent enrichment and identification of these glycoproteins by mass spectrometry is presented and validated. The method was then applied to cultured human prostate tissue slices. Freshly excised human cancer tissues robustly metabolized azidosugars. These results establish a platform for the use of azidosugars in the identification of new glycan cancer biomarkers.
机译:在美国食品药品监督管理局(FDA)批准用作癌症生物标志物的蛋白质中,大多数蛋白质都经过了聚糖的翻译后修饰。聚糖数量和结构的变化与恶性肿瘤有关。但是,糖基化不是DNA模板驱动的过程。因此,分子生物学中常用的技术不足以进行糖蛋白分析。用于糖蛋白分析的化学工具的开发对于鉴定新的生物标记物显示出了巨大的希望。在第一章中,对目前用于富集和鉴定糖蛋白的技术进行了调查。细胞表面蛋白质修饰特别突出,因为这类蛋白质代表了一组重要的癌症靶标。包括使用质谱作为糖蛋白表征分析工具的其他讨论。最后,本章介绍了使用化学官能团代谢性标记聚糖以进行后续鉴定的概念。第2章介绍了代谢标记在岩藻糖基化研究中的应用,岩藻糖基化的上调与侵袭性疾病有关。这些研究表明,永生化的癌细胞系会将岩藻糖类似物6-叠氮果糖掺入细胞表面聚糖中;除了在培养的细胞中标记岩藻糖基化聚糖外,Bertozzi实验室还表明其他叠氮糖也可通过代谢方式掺入细胞表面聚糖中。健康小鼠,尤其是血管发达的器官(如肝脏)中的糖蛋白。第3章和第4章介绍了在各种癌症模型中建立代谢标记效用的努力。第3章介绍了使用转基因小鼠肝癌模型的研究。发现叠氮糖对癌组织和健康组织的差异标记。在第4章中,提出并验证了一种对前列腺癌细胞系中的细胞表面聚糖进行特异性标记以及随后通过质谱法富集和鉴定这些糖蛋白的方法。然后将该方法应用于培养的人前列腺组织切片。新鲜切除的人类癌症组织强烈地代谢了叠氮糖。这些结果建立了一个平台,用于将叠氮糖用于鉴定新的聚糖癌症生物标志物。

著录项

  • 作者

    Hubbard, Sarah C.;

  • 作者单位

    University of California, Berkeley.;

  • 授予单位 University of California, Berkeley.;
  • 学科 Biology Cell.;Chemistry Biochemistry.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 137 p.
  • 总页数 137
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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