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.
Federico Taverna, Jermaine Goveia, Tobias K. Karakach, Shawez Khan, Kateřina Rohlenová, Lucas Treps, Abhishek Subramanian, Luc Schoonjans, Mieke Dewerchin, Guy Eelen, Peter Carmeliet
Ali Raza, Shanza Bashir, Tushar Khare, Benjamin Karikari, Rhys G. R. Copeland, Monica Jamla, Saghir Abbas, Sidra Charagh, Spurthi N. Nayak, Ivica Djalović, Rosa M. Rivero, Kadambot Siddique, Rajeev K. Varshney
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