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Case Study

Single-Cell RNA-Seq Analysis Identifies Rare Drug-Resistant Cancer Stem Cells

What you'll learn

Cell populations are rarely homogeneous and synchronized in their characteristics. Standard RNA-Seq approaches are limited to reporting general expression levels thus omitting minor subpopulation profiles. This study highlights new single cell RNA-sequencing capabilities for identifying rare cells, characterizing their transcriptomes, and discovering potential biomarkers.

 

Rare cancer cell detection

10X GENOMICS Chromium™ technology

Single-cell RNA sequencing

Expression profiles for low frequency cell subpopulations

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