KaryoTap Enables Cost-Effective High-Throughput Single-Cell Aneuploidy Profiling and Reveals How Positive and Negative Selection Shapes Cancer Genomes
Year: 2023
Type: preprint
Abstract: Investigating chromosomal instability and aneuploidy within tumors is essential for understanding tumorigenesis and developing diagnostic and therapeutic strategies. Single-cell DNA sequencing technologies have enabled such analyses, revealing aneuploidies specific to individual cells within the same tumor. However, it has been difficult to scale the throughput of these methods to detect rare aneuploidies while maintaining high sensitivity. To overcome this deficit, we developed KaryoTap, a method combining custom targeted DNA sequencing panels for the Tapestri platform with a computational framework to enable detection of chromosome- and chromosome arm-scale aneuploidy (gains or losses) and copy number neutral loss of heterozygosity in all human chromosomes across thousands of single cells simultaneously. KaryoTap allows detecting gains and losses with an average accuracy of 83% for arm events and 91% for chromosome events. Importantly, together with chromosomal copy number, our system allows us to detect barcodes and gRNAs integrated into the cells' genome, thus enabling pooled CRISPR- or ORF-based functional screens in single cells. As a proof of principle, we performed a small screen to expand the chromosomes that can be targeted by our recently described CRISPR-based KaryoCreate system for engineering aneuploidy in human cells. KaryoTap will prove a powerful and flexible approach for the study of aneuploidy and chromosomal instability in both tumors and normal tissues.
Institutions: NYU Langone Health, New York University
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: green
Awards: Why do Down Syndrome patients have high risk of Hirschsprung disease?, G5377849478, Deconstructing and targeting aneuploidy in human cancer - Resubmission - 1, Cancer under pressure: Mechanisms of adaptation to compressive stress, MutSensor System: A Set of Highly Sensitive Mutation Reporters to Dissect Genome Stability in Health and Disease, Cancer Center Support Grant
OpenAlex ID: W4386588323
