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A high throughput method for genome-wide analysis of retroviral integration

Retroviral and lentiviral vectors integrate their DNA into the host cell genome leading to stable transgene expression. Integration preferentially occurs in the proximity of active genes, and may in some case disturb their activity, with adverse toxic consequences. To efficiently analyze high number...

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Detalles Bibliográficos
Autores principales: Mantovani, Julie, Holic, Nathalie, Martinez, Kelly, Danos, Olivier, Perea, Javier
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1636494/
https://www.ncbi.nlm.nih.gov/pubmed/17028098
http://dx.doi.org/10.1093/nar/gkl716
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author Mantovani, Julie
Holic, Nathalie
Martinez, Kelly
Danos, Olivier
Perea, Javier
author_facet Mantovani, Julie
Holic, Nathalie
Martinez, Kelly
Danos, Olivier
Perea, Javier
author_sort Mantovani, Julie
collection PubMed
description Retroviral and lentiviral vectors integrate their DNA into the host cell genome leading to stable transgene expression. Integration preferentially occurs in the proximity of active genes, and may in some case disturb their activity, with adverse toxic consequences. To efficiently analyze high numbers of lentiviral insertion sites in the DNA of transduced cells, we developed an improved high-throughput method called vector integration tag analysis (VITA). VITA is based on the identification of Genomic Tags associated to the insertion sites, which are used as signatures of the integration events. We use the capacity of MmeI to cleave DNA at a defined distance of its recognition site, in order to generate 21 bp long tags from libraries of junction fragments between vector and cellular DNA. The length of the tags is sufficient in most cases, to identify without ambiguity an unique position in the human genome. Concatenation, cloning and sequencing of the tags allow to obtain information about 20–25 insertion sites in a single sequencing reaction. As a validation of this method, we have characterized 1349 different lentiviral vector insertion sites in transduced HeLa cells, from only 487 sequencing reactions, with a background of <2% false positive tags.
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spelling pubmed-16364942006-11-29 A high throughput method for genome-wide analysis of retroviral integration Mantovani, Julie Holic, Nathalie Martinez, Kelly Danos, Olivier Perea, Javier Nucleic Acids Res Methods Online Retroviral and lentiviral vectors integrate their DNA into the host cell genome leading to stable transgene expression. Integration preferentially occurs in the proximity of active genes, and may in some case disturb their activity, with adverse toxic consequences. To efficiently analyze high numbers of lentiviral insertion sites in the DNA of transduced cells, we developed an improved high-throughput method called vector integration tag analysis (VITA). VITA is based on the identification of Genomic Tags associated to the insertion sites, which are used as signatures of the integration events. We use the capacity of MmeI to cleave DNA at a defined distance of its recognition site, in order to generate 21 bp long tags from libraries of junction fragments between vector and cellular DNA. The length of the tags is sufficient in most cases, to identify without ambiguity an unique position in the human genome. Concatenation, cloning and sequencing of the tags allow to obtain information about 20–25 insertion sites in a single sequencing reaction. As a validation of this method, we have characterized 1349 different lentiviral vector insertion sites in transduced HeLa cells, from only 487 sequencing reactions, with a background of <2% false positive tags. Oxford University Press 2006-11 2006-10-05 /pmc/articles/PMC1636494/ /pubmed/17028098 http://dx.doi.org/10.1093/nar/gkl716 Text en © 2006 The Author(s)
spellingShingle Methods Online
Mantovani, Julie
Holic, Nathalie
Martinez, Kelly
Danos, Olivier
Perea, Javier
A high throughput method for genome-wide analysis of retroviral integration
title A high throughput method for genome-wide analysis of retroviral integration
title_full A high throughput method for genome-wide analysis of retroviral integration
title_fullStr A high throughput method for genome-wide analysis of retroviral integration
title_full_unstemmed A high throughput method for genome-wide analysis of retroviral integration
title_short A high throughput method for genome-wide analysis of retroviral integration
title_sort high throughput method for genome-wide analysis of retroviral integration
topic Methods Online
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1636494/
https://www.ncbi.nlm.nih.gov/pubmed/17028098
http://dx.doi.org/10.1093/nar/gkl716
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