ArticleGenome medicine2014
Development and validation of a new high-throughput method to investigate the clonality of HTLV-1-infected cells based on provirus integration sites.
Article in Genome medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed.
- Hematopoietic reconstitution dynamics of mobilized- and bone marrow-derived human hematopoietic stem cells after gene therapy.Nature communications · 2023Trial
- Sleeping Beauty-engineered CAR T cells achieve antileukemic activity without severe toxicities.The Journal of clinical investigation · 2020Trial
- Characteristic patterns of relapse after allogeneic hematopoietic SCT for adult T-cell leukemia-lymphoma: a comparative study of recurrent lesions after transplantation and chemotherapy by the Nagasaki Transplant Group.Bone marrow transplantation · 2015Trial
- Host genetic determinants of HTLV-1 infection outcomes.Immunologic research · 2026Review
- Nanoengineered 3D culture substrate enables superior persistence and polyclonal engraftment of genetically engineered hematopoietic stem cells.Cell stem cell · 2026Article
- Advances in clonality analysis of human T-cell leukemia virus type 1-infected cells: from Southern blotting to high-throughput sequencing.Journal of clinical and experimental hematopathology : JCEH · 2025Review
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- A macrophage-cell model of HIV latency reveals the unusual importance of the bromodomain axis.Virology journal · 2024Article
- Preclinical assessment of an anti-HTLV-1 heterologous DNA/MVA vaccine protocol expressing a multiepitope HBZ protein.Virology journal · 2023Article
- IS-Seq: a bioinformatics pipeline for integration sites analysis with comprehensive abundance quantification methods.BMC bioinformatics · 2023Article
- Meeting FDA Guidance recommendations for replication-competent virus and insertional oncogenesis testing.Molecular therapy. Methods & clinical development · 2023Review
- Longitudinal single-cell profiling of chemotherapy response in acute myeloid leukemia.Nature communications · 2023Article
- ISAnalytics enables longitudinal and high-throughput clonal tracking studies in hematopoietic stem cell gene therapy applications.Briefings in bioinformatics · 2023Article
- Clonal reconstruction from co-occurrence of vector integration sites accurately quantifies expanding clones in vivo.Nature communications · 2022Article
- RAISING is a high-performance method for identifying random transgene integration sites.Communications biology · 2022Article
- Elucidation of the Mechanism of Host NMD Suppression by HTLV-1 Rex: Dissection of Rex to Identify the NMD Inhibitory Domain.Viruses · 2022Article
- Efficient and safe correction of hemophilia A by lentiviral vector-transduced BOECs in an implantable device.Molecular therapy. Methods & clinical development · 2021Article
- Retrieval of vector integration sites from cell-free DNA.Nature medicine · 2021Article
- Epigenomic regulation of human T-cell leukemia virus by chromatin-insulator CTCF.PLoS pathogens · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Transformation and clonal proliferation of T-cells infected with human T-cell leukemia virus type-I (HTLV-1) cause adult T-cell leukemia. We took advantage of next-generation sequencing technology to develop and internally validate a new methodology for isolating integration sites and estimating the number of cells in each HTLV-1-infected clone (clone size). Initial analysis was performed with DNA samples from infected individuals. We then used appropriate controls with known integration sites and clonality status to confirm the accuracy of our system, which indeed had the least errors among the currently available techniques. Results suggest potential clinical and biological applications of the new method.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.