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单细胞多组学时代的糖药物学和精准医学双料奖学金

Twin Scholarships of Glycomedicine and Precision Medicine in Times of Single-Cell Multiomics.

机构信息

Centre for Precision Health, Edith Cowan University, Perth, Australia.

School of Medical and Health Sciences, Edith Cowan University, Perth, Australia.

出版信息

OMICS. 2024 Jul;28(7):319-323. doi: 10.1089/omi.2024.0111. Epub 2024 Jun 6.

DOI:10.1089/omi.2024.0111
PMID:38841897
Abstract

Systems biology and multiomics research expand the prospects of planetary health innovations. In this context, this mini-review unpacks the twin scholarships of glycomedicine and precision medicine in the current era of single-cell multiomics. A significant growth in glycan research has been observed over the past decade, unveiling and establishing co- and post-translational modifications as dynamic indicators of both pathological and physiological conditions. Systems biology technologies have enabled large-scale and high-throughput glycoprofiling and access to data-intensive biological repositories for global research. These advancements have established glycans as a pivotal third code of life, alongside nucleic acids and amino acids. However, challenges persist, particularly in the simultaneous analysis of the glycome and transcriptome in single cells owing to technical limitations. In addition, holistic views of the complex molecular interactions between glycomics and other omics types remain elusive. We underscore and call for a paradigm shift toward the exploration of integrative glycan platforms and analysis methods for single-cell multiomics research and precision medicine biomarker discovery. The integration of multiple datasets from various single-cell omics levels represents a crucial application of systems biology in understanding complex cellular processes and is essential for advancing the twin scholarships of glycomedicine and precision medicine.

摘要

系统生物学和多组学研究拓宽了行星健康创新的前景。在此背景下,本篇迷你综述深入探讨了聚糖医学和精准医学在单细胞多组学时代的双重使命。过去十年间,聚糖研究取得了显著进展,揭示并确立了糖基化的共翻译和翻译后修饰作为病理和生理状态的动态标志物。系统生物学技术使得大规模、高通量糖组学分析以及对全球研究数据密集型生物库的访问成为可能。这些进展使聚糖成为继核酸和氨基酸之后生命的第三套密码。然而,挑战依然存在,特别是在单细胞中同时分析聚糖和转录组时,这受到技术限制的影响。此外,聚糖组学与其他组学类型之间复杂分子相互作用的整体观点仍然难以捉摸。我们强调并呼吁向探索整合聚糖平台和单细胞多组学研究及精准医学生物标志物发现的分析方法转变。从各种单细胞组学层面整合多个数据集是系统生物学在理解复杂细胞过程中的关键应用,对于推进聚糖医学和精准医学的双重使命至关重要。

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