A new multi-omic approach enabling concurrent measurement of full-length mRNA and targeted genomic DNA from the same single cell. CORTAD Seq offers an unbiased and flexible approach for single-cell multi-omic analysis. As described recently in Clinical Chemistry, C1 Open App IFCs are used to generate high-quality RNA sequencing data with good coverage of the targeted genomic loci, which is essential for accurate detection of single-nucleotide variations, deletion mutations, copy number variation and haplotype construction.Please use 10,000 characters max
|Cell Name||Cell Type||Source|
|PC9||Lung cancer||Cell line|
As proof of principle, we applied CORTADseq to lung cancer cell lines to dissect the cellular consequences of mutations that result in resistance to targeted therapy. We obtained a mean detection of 6000 expressed genes and an exonic rate of 50%. The targeted DNA-sequencing data achieved a 97.8% detection rate for mutations and allowed for the identification of copy number variations and haplotype construction. We detected expression signatures of tyrosine kinase inhibitor (TKI) resistance, epidermal growth factor receptor (EGFR) amplification, and expansion of the T790M mutation among resistant cells. We also identified characteristics for TKI resistance that were independent of EGFR T790M, indicating that other alterations are required for resistance in this context.
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