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大数据糖组学:将聚糖生物合成与细胞外通讯联系起来的工具。

Big-Data Glycomics: Tools to Connect Glycan Biosynthesis to Extracellular Communication.

机构信息

Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, CA, USA; Department of Bioengineering, University of California San Diego School of Medicine, La Jolla, CA, USA; Bioinformatics and Systems Biology Program, University of California San Diego School of Medicine, La Jolla, CA, USA.

Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, CA, USA; Department of Bioengineering, University of California San Diego School of Medicine, La Jolla, CA, USA; Bioinformatics and Systems Biology Program, University of California San Diego School of Medicine, La Jolla, CA, USA; Novo Nordisk Foundation Center for Biosustainability at the University of California San Diego School of Medicine, La Jolla, CA, USA.

出版信息

Trends Biochem Sci. 2021 Apr;46(4):284-300. doi: 10.1016/j.tibs.2020.10.004. Epub 2020 Dec 18.

Abstract

Characteristically, cells must sense and respond to environmental cues. Despite the importance of cell-cell communication, our understanding remains limited and often lacks glycans. Glycans decorate proteins and cell membranes at the cell-environment interface, and modulate intercellular communication, from development to pathogenesis. Providing further challenges, glycan biosynthesis and cellular behavior are co-regulating systems. Here, we discuss how glycosylation contributes to extracellular responses and signaling. We further organize approaches for disentangling the roles of glycans in multicellular interactions using newly available datasets and tools, including glycan biosynthesis models, omics datasets, and systems-level analyses. Thus, emerging tools in big data analytics and systems biology are facilitating novel insights on glycans and their relationship with multicellular behavior.

摘要

细胞通常必须感知和响应环境线索。尽管细胞间通讯非常重要,但我们的理解仍然有限,而且通常缺乏聚糖。聚糖在细胞-环境界面处修饰蛋白质和细胞膜,并调节从发育到发病机制的细胞间通讯。提供进一步的挑战,糖生物合成和细胞行为是共同调节系统。在这里,我们讨论了糖基化如何促进细胞外反应和信号传递。我们进一步组织了使用新的可用数据集和工具(包括糖生物合成模型、组学数据集和系统水平分析)来解开聚糖在多细胞相互作用中的作用的方法。因此,大数据分析和系统生物学中的新兴工具正在促进对聚糖及其与多细胞行为关系的新见解。

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