Single-cell omics: Overview, analysis, and application in biomedical science

JOURNAL OF CELLULAR BIOCHEMISTRY(2021)

引用 17|浏览5
暂无评分
摘要
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.
更多
查看译文
关键词
bioinformatics, epigenomics, genomics, haematology, multiomics, proteomics, single-cell methods, transcriptomics
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要