The applications of single-cell multiomics in drug screening

Qingming Xue , Hanyu Hu , Ruogu Wang , Fei Wu , Haiqing Xiong
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Abstract

Single-cell multiomics (scMultiomics) technologies and methods encompassing transcriptomics, genomics, epigenomics, proteomics, and metabolomics, together with associated computational tools have profoundly revolutionized disease research, enabling unprecedented dissection of cellular heterogeneity and dynamic biological responses. The use of scMultiomics technologies to study drug drug screening, actions and responses has not only unlocked novel avenues in precision drug screening but also transformed our understanding of how small molecules target specific cell types in cancer treatment, as well as their connections to disease etiology and progression from a high-resolution view of their functional diversity. In this review, we systematically explore how scMultiomics technologies develop and drive advancements in drug screening. With a specific focus on the applications in target identification, drug response, and drug resistance, we highlight how scMultiomics can link cellular-level insights with individualized drug screening, which in turn promises actionable strategies to improve therapeutic precision in drug development.

Abstract Image

单细胞多组学在药物筛选中的应用
单细胞多组学(scMultiomics)技术和方法包括转录组学、基因组学、表观基因组学、蛋白质组学和代谢组学,以及相关的计算工具,已经深刻地改变了疾病研究,使细胞异质性和动态生物反应的解剖前所未有。利用scMultiomics技术研究药物筛选、作用和反应,不仅为精确药物筛选开辟了新的途径,而且从高分辨率的功能多样性角度,改变了我们对小分子如何靶向癌症治疗中的特定细胞类型,以及它们与疾病病因和进展的联系的理解。在这篇综述中,我们系统地探讨了scMultiomics技术如何发展和推动药物筛选的进步。我们特别关注在靶标识别、药物反应和耐药性方面的应用,强调scMultiomics如何将细胞水平的见解与个体化药物筛选联系起来,这反过来又承诺了可操作的策略,以提高药物开发的治疗精度。
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