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Single-cell omics: Overview, analysis, and application in biomedical science
Journal of Cellular Biochemistry ( IF 3.0 ) Pub Date : 2021-08-30 , DOI: 10.1002/jcb.30134
Catarina M Stein 1, 2 , Ralf Weiskirchen 3 , Frederik Damm 1, 4, 5 , Paulina M Strzelecka 1, 4
Affiliation  

Single-cell sequencing methods provide the highest resolution insight into cellular heterogeneity. Owing to their rapid growth and decreasing cost, they are now widely accessible to scientists worldwide. Single-cell technologies enable analysis of a large number of cells, making them powerful tools to characterise rare cell types and refine our understanding of diverse cell states. Moreover, single-cell application in biomedical sciences helps to unravel mechanisms related to disease pathogenesis and outcome. In this Viewpoint, we briefly describe existing single-cell methods (genomics, transcriptomics, epigenomics, proteomics, and mulitomics), comment on available analysis tools, and give examples of method applications in the biomedical field.

中文翻译:

单细胞组学:生物医学科学的概述、分析和应用

单细胞测序方法提供了对细胞异质性的最高分辨率洞察。由于它们的快速增长和降低的成本,它们现在被全世界的科学家广泛使用。单细胞技术能够分析大量细胞,使其成为表征稀有细胞类型和完善我们对不同细胞状态的理解的强大工具。此外,单细胞在生物医学科学中的应用有助于揭示与疾病发病机制和结果相关的机制。在这个观点中,我们简要描述了现有的单细胞方法(基因组学、转录组学、表观基因组学、蛋白质组学和多组学),评论了可用的分析工具,并给出了生物医学领域的方法应用示例。
更新日期:2021-10-29
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