In the field of oncology, the ability to select cells from a specific location or region within a tissue and analyze each discrete genome allows for the understanding of tumor heterogeneity in a spatial and temporal context.
The evolution from single cell to an oncology-related pathology, is complex process driven by accumulation of mutations during cell division, cell to cell interactions, tissue structure and vasculature changes.
A challenge in obtaining high-definition genomic data from single cells is the ability to isolate critical cells of interest and amplify the genome with high uniformity and complete coverage.
In this panel presentation, Andris Abramenkovs will introduce the new to Sartorius CellCelector Flex platform. Register to learn about the benefits of the CellCelector Flex platform for single-cell isolation and picking in a range of single-cell applications.
Mark Lynch from BioSkryb Genomics will then present a novel workflow that simplifies the isolation of single cells from a variety of samples for low-input and single-cell genomics.
Learning Objectives:
1. Discuss how to automate cell selection and retrieval to improve downstream application workflows.
2. Explain how to reliably isolate single cells for genomic analysis using Primary Template-Directed Amplification (PTA).
3. Discuss how to address and overcome workflow challenges and define genomic heterogeneity in any sample type.