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INSPIIRED: Quantification and Visualization Tools for Analyzing Integration Site Distributions.
Berry, Charles C; Nobles, Christopher; Six, Emmanuelle; Wu, Yinghua; Malani, Nirav; Sherman, Eric; Dryga, Anatoly; Everett, John K; Male, Frances; Bailey, Aubrey; Bittinger, Kyle; Drake, Mary J; Caccavelli, Laure; Bates, Paul; Hacein-Bey-Abina, Salima; Cavazzana, Marina; Bushman, Frederic D.
Afiliación
  • Berry CC; Department of Family Medicine and Public Health, UC San Diego, La Jolla, CA 92093, USA.
  • Nobles C; Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104-6076, USA.
  • Six E; Paris Descartes-Sorbonne Paris Cité University, Imagine Institute, 75015 Paris, France; INSERM 24, Laboratory of Human Lymphohematopoiesis, 75015 Paris, France.
  • Wu Y; Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104-6076, USA.
  • Malani N; Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104-6076, USA.
  • Sherman E; Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104-6076, USA.
  • Dryga A; Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104-6076, USA.
  • Everett JK; Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104-6076, USA.
  • Male F; Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104-6076, USA.
  • Bailey A; Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104-6076, USA.
  • Bittinger K; Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104-6076, USA.
  • Drake MJ; Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104-6076, USA.
  • Caccavelli L; Biotherapy Department, Necker Children's Hospital, Assistance Publique-Hôpitaux de Paris, 75014 Paris, France; Biotherapy Clinical Investigation Center, Groupe Hospitalier Universitaire Ouest, Assistance Publique-Hôpitaux de Paris, INSERM, 75014 Paris, France.
  • Bates P; Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104-6076, USA.
  • Hacein-Bey-Abina S; Biotherapy Department, Necker Children's Hospital, Assistance Publique-Hôpitaux de Paris, 75014 Paris, France; Biotherapy Clinical Investigation Center, Groupe Hospitalier Universitaire Ouest, Assistance Publique-Hôpitaux de Paris, INSERM, 75014 Paris, France.
  • Cavazzana M; Biotherapy Department, Necker Children's Hospital, Assistance Publique-Hôpitaux de Paris, 75014 Paris, France; Biotherapy Clinical Investigation Center, Groupe Hospitalier Universitaire Ouest, Assistance Publique-Hôpitaux de Paris, INSERM, 75014 Paris, France.
  • Bushman FD; Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104-6076, USA.
Mol Ther Methods Clin Dev ; 4: 17-26, 2017 Mar 17.
Article en En | MEDLINE | ID: mdl-28344988
ABSTRACT
Analysis of sites of newly integrated DNA in cellular genomes is important to several fields, but methods for analyzing and visualizing these datasets are still under development. Here, we describe tools for data analysis and visualization that take as input integration site data from our INSPIIRED pipeline. Paired-end sequencing allows inference of the numbers of transduced cells as well as the distributions of integration sites in target genomes. We present interactive heatmaps that allow comparison of distributions of integration sites to genomic features and that support numerous user-defined statistical tests. To summarize integration site data from human gene therapy samples, we developed a reproducible report format that catalogs sample population structure, longitudinal dynamics, and integration frequency near cancer-associated genes. We also introduce a novel summary statistic, the UC50 (unique cell progenitors contributing the most expanded 50% of progeny cell clones), which provides a single number summarizing possible clonal expansion. Using these tools, we characterize ongoing longitudinal characterization of a patient from the first trial to treat severe combined immunodeficiency-X1 (SCID-X1), showing successful reconstitution for 15 years accompanied by persistence of a cell clone with an integration site near the cancer-associated gene CCND2. Software is available at https//github.com/BushmanLab/INSPIIRED.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Mol Ther Methods Clin Dev Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Mol Ther Methods Clin Dev Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos