PCIP-seq: simultaneous sequencing of integrated viral genomes and their insertion sites with long reads
Copyright policy )PCIP-seq: simultaneous sequencing of integrated viral genomes and their insertion sites with long reads
AbstractThe integration of a viral genome into the host genome has a major impact on the trajectory of the infected cell. Integration location and variation within the associated viral genome can influence both clonal expansion and persistence of infected cells. Methods based on short-read sequencing can identify viral insertion sites, but the sequence of the viral genomes within remains unobserved. We develop PCIP-seq, a method that leverages long reads to identify insertion sites and sequence their associated viral genome. We apply the technique to exogenous retroviruses HTLV-1, BLV, and HIV-1, endogenous retroviruses, and human papillomavirus.
HPV, QH301-705.5, Virus Integration, BLV, Method, Genetics & genetic processes, Viral genome, Genome, Viral, QH426-470, Polymerase Chain Reaction, Polymorphism, Single Nucleotide, Génétique & processus génétiques, Proviruses, Medicine and Health Sciences, Genetics, Animals, Humans, Clustered Regularly Interspaced Short Palindromic Repeats, Long-read sequencing, Biology (General), Retrovirus, HIV, Computational Biology, High-Throughput Nucleotide Sequencing, Genomics, Life sciences, Clonal expansion, [SDV] Life Sciences [q-bio], Integration site analysis, Retroviridae, HTLV-1, NGS, Sciences du vivant, Hématologie
HPV, QH301-705.5, Virus Integration, BLV, Method, Genetics & genetic processes, Viral genome, Genome, Viral, QH426-470, Polymerase Chain Reaction, Polymorphism, Single Nucleotide, Génétique & processus génétiques, Proviruses, Medicine and Health Sciences, Genetics, Animals, Humans, Clustered Regularly Interspaced Short Palindromic Repeats, Long-read sequencing, Biology (General), Retrovirus, HIV, Computational Biology, High-Throughput Nucleotide Sequencing, Genomics, Life sciences, Clonal expansion, [SDV] Life Sciences [q-bio], Integration site analysis, Retroviridae, HTLV-1, NGS, Sciences du vivant, Hématologie
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