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Proteomics, Glycomics, and Glycoproteomics of Matrisome Molecules

机译:矩阵分子的蛋白质组学,糖类和糖蛋白组

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摘要

The most straightforward applications of proteomics database searching involve intracellular proteins. Although intracellular gene products number in the thousands, their well-defined post-translational modifications (PTMs) makes database searching practical. By contrast, cell surface and extracellular matrisome proteins pass through the secretory pathway where many become glycosylated, modulating their physicochemical properties, adhesive interactions, and diversifying their functions. Although matrisome proteins number only a few hundred, their high degree of complex glycosylation multiplies the number of theoretical proteoforms by orders of magnitude. Given that extracellular networks that mediate cell-cell and cell-pathogen interactions in physiology depend on glycosylation, it is important to characterize the proteomes, glycomes, and glycoproteomes of matrisome molecules that exist in a given biological context. In this review, we summarize proteomics approaches for characterizing matrisome molecules, with an emphasis on applications to brain diseases. We demonstrate the availability of methods that should greatly increase the availability of information on matrisome molecular structure associated with health and disease.
机译:蛋白质组学数据库搜索的最直接应用涉及细胞内蛋白质。虽然细胞内基因产品数千次,但它们定义的翻译后修改(PTMS)使得数据库搜索实用。相比之下,细胞表面和细胞外矩阵蛋白通过分泌途径,其中许多是糖基化的,调节其物理化学性质,粘合剂相互作用并使它们的功能多样化。虽然矩阵蛋白数量只有几百个,但它们的高度复杂的糖基化使理论蛋白质常规的数量逐次数倍增。鉴于介导细胞细胞和生理学中的细胞 - 病原体相互作用的细胞外网络取决于糖基化,表征在给定的生物学背景中存在的蛋白质谱图,糖类和糖蛋白酶的表征是重要的。在本综述中,我们总结了表征矩阵分子的蛋白质组学方法,重点是脑疾病的应用。我们展示了方法的可用性,这些方法应该大大提高与健康和疾病相关的矩阵分子结构的信息的可用性。

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