Optimizing cell viability for single-cell omics



Omics—the study of the genome, proteome and transcriptome—is gaining in importance in relation to cancer diagnostics. After collection, tissue samples need to be processed and single cells isolated as quickly as possible to make sure cell viability remains high and minimize any changes in the cellular transcriptome. Current tissue disaggregation techniques are manual and time-consuming and often result in sample loss via ruptured or attached cells that are unsuitable for library preparation. Mild, yet automated tissue processing is needed to ensure that cell yield and integrity consistently remains high. The result must be a viable cell suspension, representative of the original sample, for use in high-throughput single-cell research. Join Priya Hari to discuss how effective tissue processing can help single-cell omics to advance.

Learning objectives:

  • Highlight challenges with current tissue processing techniques
  • Discuss the advantages of mild, automated tissue dissociation for optimizing cell viability
  • Review data demonstrating the advantages of automated processing for high-throughput single-cell omics applications

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