Department of Hematology, Oncology, and Tumor Immunology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Berlin School Of Integrative Oncology (BSIO), Charité-Universitätsmedizin Berlin, Berlin, Germany.
J Cell Biochem. 2021 Nov;122(11):1571-1578. doi: 10.1002/jcb.30134. Epub 2021 Aug 30.
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.
单细胞测序方法为细胞异质性提供了最高分辨率的见解。由于其快速增长和成本降低,现在全球科学家都可以广泛使用它们。单细胞技术能够分析大量细胞,使它们成为描绘稀有细胞类型和深化我们对不同细胞状态理解的强大工具。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。在本观点中,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,并举例说明了在生物医学领域的方法应用。