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Application Note

Illuminating the transcriptomic landscape in single cancer cells at scale

Researchers can gain deeper insights into cancer biology with high throughput single cell total RNA sequencing.

Understanding gene expression in single cells is crucial for cancer research, yet current single cell RNA sequencing methods often fail to detect critical noncoding gene information, making it difficult to understand tumor evolution, metastasis, and treatment responses. A high throughput total RNA-seq approach with full gene-body coverage enables the detection of both coding and noncoding RNA, providing deeper insights into tumor dynamics and potential therapeutic targets.

Download the application note to discover:

  • A scalable total RNA sequencing method that enables full transcriptome analysis of up to 100,000 of single cells per run 
  • How genetic mutations and epigenetic therapy impact gene expression in cancer cells
  • How noncoding RNA biomarkers reveal new therapeutic insights

Sponsored by

  • Takara

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