Correlating protein and gene expression at the single-cell level using index sorting

Single-cell analysis is critical to understanding the biology of heterogeneous samples. Purification of cells of interest, combined with integrated protein and gene expression analysis, is a very powerful and efficient approach for a comprehensive characterization of rare cells. This webinar will provide insights into combining upstream index sorting with downstream single-cell RNA sequencing (scRNA-Seq) to correlate immunophenotype and a gene expression profile on different subsets of CD8⁺ T cells.

Key topics covered in this webinar include:
- How to efficiently sort single cells for downstream mRNA expression analysis.
- How to correlate gene expression with protein expression at the single-cell level.
- How to analyze targeted gene expression data.

Speaker:
Mirko Corselli, PhD
R&D Staff Scientist, Immunology Applications
BD Biosciences

Original Broadcast: December 13th, 2018

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