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• W2800973164 abstract "Chromosome rearrangements are large-scale structural variants that are recognized drivers of oncogenic events in cancers of all types. Cytogenetics allows for their rapid, genome-wide detection, but does not provide gene-level resolution. Massively parallel sequencing (MPS) promises DNA sequence-level characterization of the specific breakpoints involved, but is strongly influenced by bioinformatics filters that affect detection efficiency. We sought to characterize the breakpoint junctions of chromosomal translocations and inversions in the clonal derivatives of human cells exposed to ionizing radiation. Here, we describe the first successful use of DNA paired-end analysis to locate and sequence across the breakpoint junctions of a radiation-induced reciprocal translocation. The analyses employed, with varying degrees of success, several well-known bioinformatics algorithms, a task made difficult by the involvement of repetitive DNA sequences. As for underlying mechanisms, the results of Sanger sequencing suggested that the translocation in question was likely formed via microhomology-mediated non-homologous end joining (mmNHEJ). To our knowledge, this represents the first use of MPS to characterize the breakpoint junctions of a radiation-induced chromosomal translocation in human cells. Curiously, these same approaches were unsuccessful when applied to the analysis of inversions previously identified by directional genomic hybridization (dGH). We conclude that molecular cytogenetics continues to provide critical guidance for structural variant discovery, validation and in “tuning” analysis filters to enable robust breakpoint identification at the base pair level." @default.
• W2800973164 created "2018-05-17" @default.
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• W2800973164 date "2018-05-11" @default.
• W2800973164 modified "2023-09-23" @default.
• W2800973164 title "Molecular Cytogenetics Guides Massively Parallel Sequencing of a Radiation-Induced Chromosome Translocation in Human Cells" @default.
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• W2800973164 doi "https://doi.org/10.1667/rr15053.1" @default.
• W2800973164 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6055522" @default.
• W2800973164 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29749794" @default.
• W2800973164 hasPublicationYear "2018" @default.
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