VISPA: a computational pipeline for the identification and analysis of genomic vector integration sites
Andrea Calabria,
Simone Leo,
Fabrizio Benedicenti,
Daniela Cesana,
Giulio Spinozzi,
Massimiliano Orsini,
Stefania Merella,
Elia Stupka,
Gianluigi Zanetti,
Eugenio Montini
Genome Medicine, Volume 6, Number 9 - september 2014
The analysis of the genomic distribution of viral vector genomic integration sites is a key step in hematopoietic stem cell-based gene therapy applications, allowing to assess both the safety and the efficacy of the treatment and to study the basic aspects of hematopoiesis and stem cell biology. Identifying vector integration sites requires ad-hoc bioinformatics tools with stringent requirements in terms of computational efficiency, flexibility, and usability. We developed VISPA (Vector Integration Site Parallel Analysis), a pipeline for automated integration site identification and annotation based on a distributed environment with a simple Galaxy web interface. VISPA was successfully used for the bioinformatics analysis of the follow-up of two lentiviral vector-based hematopoietic stem-cell gene therapy clinical trials. Our pipeline provides a reliable and efficient tool to assess the safety and efficacy of integrating vectors in clinical settings.
Références BibTex
@Article{CLBCSOMSZM14,
author = {Calabria, A. and Leo, S. and Benedicenti, F. and Cesana, D. and Spinozzi, G. and Orsini, M. and Merella, S. and Stupka, E. and Zanetti, G. and Montini, E.},
title = {VISPA: a computational pipeline for the identification and analysis of genomic vector integration sites},
journal = {Genome Medicine},
number = {9},
volume = {6},
month = {september},
year = {2014},
publisher = {BioMed Central},
keywords = {gene therapy, bioinformatics, hadoop, galaxy},
doi = {10.1186/s13073-014-0067-5},
url = {https://publications.crs4.it/pubdocs/2014/CLBCSOMSZM14},
}
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