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

• Published in: Journal of cellular biochemistry Vol. 122; no. 11; pp. 1571 - 1578
• Main Authors: Stein, Catarina M., Weiskirchen, Ralf, Damm, Frederik, Strzelecka, Paulina M.
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01.11.2021
• Subjects: Animals; bioinformatics; Computational Biology - methods; DNA Methylation; epigenomics; Epigenomics - methods; Gene Expression Profiling - methods; genomics; Genomics - instrumentation; Genomics - methods; haematology; Heterogeneity; Humans; multiomics; Pathogenesis; Precision Medicine; Proteomics; Proteomics - methods; Single-Cell Analysis - methods; single‐cell methods; transcriptomics; single-cell methods; proteomics; bioinformatics; transcriptomics; epigenomics; genomics; haematology; multiomics
• ISSN: 0730-2312; 1097-4644
• DOI: 10.1002/jcb.30134

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. Graphical 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