Single‐cell omics: Overview, analysis, and application in biomedical science
| Autor: | Paulina M. Strzelecka, Frederik Damm, Ralf Weiskirchen, Catarina M. Stein |
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| Rok vydání: | 2021 |
| Předmět: |
Rare cell
Computer science Genomics Disease pathogenesis Proteomics Biochemistry transcriptomics proteomics genomics Animals Humans single-cell methods Precision Medicine Molecular Biology Epigenomics Gene Expression Profiling Computational Biology Cell Biology bioinformatics DNA Methylation Omics Data science Cellular heterogeneity epigenomics haematology Single-Cell Analysis Analysis tools multiomics 600 Technik Medizin angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit |
| Zdroj: | Journal of cellular biochemistry 122(11), 1571-1578 (2021). doi:10.1002/jcb.30134 |
| DOI: | 10.17169/refubium-36776 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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