RoCK and ROI: a single-cell RNA-sequencing method with enhanced transcriptome information via targeted enrichment of transcripts and preselected, region-specific sequencing IV

Many scRNAseq-based methods suffer from a high number of non-detects and a bias towards the 3' or 5' end of transcripts. We developed a method termed RoCK and ROI to address these two biases. RoCK and ROI leads to the enrichment of the transcriptome profile of cells with information on transcripts of interest Overall design: RoCK and ROI is based on barcoded beads of the BD Rhapsody platform. For RoCKseq specific capture, TSO oligos on BD Rhapsody beads are modified with a/ multiple capture sequence(s) specific to transcripts of interest. ROIseq, on the other hand, is based on specific primers which are spiked in during library generation, directing reads to regions of interest (ROIs). For this set of experiments, RoCK and ROI was performed to enhance the detection of BCR::ABL1 fusion transcripts in a mix of patient-derived leukemic cell lines (K562, SUP-B15, Loucy) and a B-cell precursor acute lymphoblastic leukemia (BCP-ALL) patient at first diagnosis. *************************************************************** Raw files for human/patient samples were not submitted to GEO due to concerns about submitting personally identifiable sequence data for open access. ***************************************************************