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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