In this webinar, Spyros Darmanis Ph.D., Cell Atlas Group Leader at the Chan Zuckerberg Biohub, presents a compendium of single-cell transcriptomic data from the model organism Mus musculus - which comprises more than 100,000 cells from 20 organs and tissues.

Spyros Darmanis

 

This exciting data represents a new resource for cell biologists - revealing new insights into gene expression within poorly characterized cell populations. It also enables the direct and controlled comparison of gene expression in cell types that are shared between tissues, such as T lymphocytes and endothelial cells. Dr. Darmanis reveals which two distinct technical approaches were used in collecting the data. He discusses how one approach, microfluidic droplet-based 3'-end counting, enabled the survey of thousands of cells at relatively low coverage, whereas the other, full-length transcript analysis (based on fluorescence-activated cell sorting) enabled the characterization of cell types with high sensitivity and coverage. 

The cumulative data provide the foundation for an atlas of transcriptomic cell biology.

Key learning objectives:

  • Single cell RNA-seq technologies and their application in a large-scale Cell Atlas project
  • The advantages of combining shallow droplet methods with highly sensitive plate-based Smart-seq2
  • How the latest liquid handling technologies enable cost-effective, miniaturized NGS workflows with flow-sorted cells

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