CASE STUDY
Single-Cell RNA-Seq Analysis Identifies Rare Drug-Resistant Cancer Stem Cells
About the Case Study
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.
This Case Study discusses:
- Rare cancer cell detection
- 10X Genomics Chromium™ technology
- Single-cell RNA sequencing
- Expression profiles for low frequency cell subpopulations
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For technical support questions, please contact our Next Generation Sequencing team
(877) 436-3949 ext. 1 | ngs@azenta.com