1. Analyzing tumor heterogeneity and driver genes in single myeloid leukemia cells with SBCapSeq
- Author
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Alistair G. Rust, Takahiro Kodama, Felipe Amaya-Manzanares, Michael A. Black, Karen M. Mann, Nicholas Navin, Nancy A. Jenkins, Michael B. Mann, Marco L. Leung, Susan M. Rogers, Luxmanan Selvanesan, Jill Waters, Christopher Chin Kuan Yew, Devin J. Jones, Neal G. Copeland, Leslie A. McNoe, Keith Rogers, Justin Y. Newberg, Louise van der Weyden, Jerrold M. Ward, and Liliana Guzman-Rojas
- Subjects
Male ,0301 basic medicine ,Cancer genome sequencing ,Sequence analysis ,Biomedical Engineering ,Transposases ,Mutagenesis (molecular biology technique) ,Bioengineering ,Biology ,Applied Microbiology and Biotechnology ,Article ,Deep sequencing ,DNA sequencing ,Mice ,03 medical and health sciences ,Biomarkers, Tumor ,Animals ,In Situ Hybridization ,Exome sequencing ,Genetics ,High-Throughput Nucleotide Sequencing ,Myeloid leukemia ,DNA, Neoplasm ,Sequence Analysis, DNA ,Neoplasm Proteins ,Mutagenesis, Insertional ,030104 developmental biology ,Single cell sequencing ,Leukemia, Myeloid ,DNA Transposable Elements ,Molecular Medicine ,Female ,Algorithms ,Software ,Genes, Neoplasm ,Biotechnology - Abstract
A central challenge in oncology is how to kill tumors containing heterogeneous cell populations defined by different combinations of mutated genes. Identifying these mutated genes and understanding how they cooperate requires single-cell analysis, but current single-cell analytic methods, such as PCR-based strategies or whole-exome sequencing, are biased, lack sequencing depth or are cost prohibitive. Transposon-based mutagenesis allows the identification of early cancer drivers, but current sequencing methods have limitations that prevent single-cell analysis. We report a liquid-phase, capture-based sequencing and bioinformatics pipeline, Sleeping Beauty (SB) capture hybridization sequencing (SBCapSeq), that facilitates sequencing of transposon insertion sites from single tumor cells in a SB mouse model of myeloid leukemia (ML). SBCapSeq analysis of just 26 cells from one tumor revealed the tumor’s major clonal subpopulations, enabled detection of clonal insertion events not detected by other sequencing methods and led to the identification of dominant subclones, each containing a unique pair of interacting gene drivers along with three to six cooperating cancer genes with SB-driven expression changes.
- Published
- 2016
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