| Literature DB >> 34459502 |
Catarina M Stein1,2, Ralf Weiskirchen3, Frederik Damm1,4,5, Paulina M Strzelecka1,4.
Abstract
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.Entities:
Keywords: bioinformatics; epigenomics; genomics; haematology; multiomics; proteomics; single-cell methods; transcriptomics
Mesh:
Year: 2021 PMID: 34459502 DOI: 10.1002/jcb.30134
Source DB: PubMed Journal: J Cell Biochem ISSN: 0730-2312 Impact factor: 4.429