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

Catarina M SteinRalf WeiskirchenFrederik DammPaulina M Strzelecka
Published in: Journal of cellular biochemistry (2021)
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.
Keyphrases
  • single cell
  • rna seq
  • high throughput
  • public health
  • mass spectrometry
  • induced apoptosis
  • mesenchymal stem cells
  • bone marrow
  • single molecule
  • cell therapy
  • data analysis
  • drug induced