Molecular and Translational Medicine Program, Boston University, Boston, MA 02218; Department of Biochemistry, Boston University, Boston, MA 02218.
Department of Biochemistry, Boston University, Boston, MA 02218.
Mol Cell Proteomics. 2019 Nov;18(11):2138-2148. doi: 10.1074/mcp.R119.001543. Epub 2019 Aug 30.
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.
蛋白质组数据库搜索最直接的应用涉及细胞内蛋白质。尽管细胞内基因产物数量数以千计,但它们明确的翻译后修饰(PTMs)使得数据库搜索变得可行。相比之下,细胞表面和细胞外基质蛋白通过分泌途径运输,其中许多会发生糖基化,从而改变其理化性质、黏附相互作用,并使功能多样化。尽管基质蛋白数量只有几百种,但它们高度复杂的糖基化使理论上的蛋白异构体数量呈数量级增加。由于生理过程中介导细胞-细胞和细胞-病原体相互作用的细胞外网络依赖于糖基化,因此表征给定生物学背景下存在的基质分子的蛋白质组、糖组和糖蛋白组非常重要。在这篇综述中,我们总结了用于表征基质分子的蛋白质组学方法,重点介绍了它们在脑疾病中的应用。我们证明了现有的方法应该会极大地增加与健康和疾病相关的基质分子结构信息的可用性。
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