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Lentiviral vector-based insertional mutagenesis identifies genes associated with liver cancer
Transposons and γ-retroviruses have been efficiently used as insertional mutagens in different tissues to identify molecular culprits of cancer. However, these systems are characterized by recurring integrations that accumulate in tumor cells, hampering the identification of early cancer-driving eve...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3589714/ https://www.ncbi.nlm.nih.gov/pubmed/23314173 http://dx.doi.org/10.1038/nmeth.2331 |
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author | Ranzani, Marco Cesana, Daniela Bartholomae, Cynthia C. Sanvito, Francesca Pala, Mauro Benedicenti, Fabrizio Gallina, Pierangela Sergi, Lucia Sergi Merella, Stefania Bulfone, Alessandro Doglioni, Claudio von Kalle, Christof Kim, Yoon Jun Schmidt, Manfred Tonon, Giovanni Naldini, Luigi Montini, Eugenio |
author_facet | Ranzani, Marco Cesana, Daniela Bartholomae, Cynthia C. Sanvito, Francesca Pala, Mauro Benedicenti, Fabrizio Gallina, Pierangela Sergi, Lucia Sergi Merella, Stefania Bulfone, Alessandro Doglioni, Claudio von Kalle, Christof Kim, Yoon Jun Schmidt, Manfred Tonon, Giovanni Naldini, Luigi Montini, Eugenio |
author_sort | Ranzani, Marco |
collection | PubMed |
description | Transposons and γ-retroviruses have been efficiently used as insertional mutagens in different tissues to identify molecular culprits of cancer. However, these systems are characterized by recurring integrations that accumulate in tumor cells, hampering the identification of early cancer-driving events amongst bystander and progression-related events. We developed an insertional mutagenesis platform based on lentiviral vectors (LVV) by which we could efficiently induce hepatocellular carcinoma (HCC) in 3 different mouse models. By virtue of LVV’s replication-deficient nature and broad genome-wide integration pattern, LVV-based insertional mutagenesis allowed identification of 4 new liver cancer genes from a limited number of integrations. We validated the oncogenic potential of all the identified genes in vivo, with different levels of penetrance. Our newly identified cancer genes are likely to play a role in human disease, since they are upregulated and/or amplified/deleted in human HCCs and can predict clinical outcome of patients. |
format | Online Article Text |
id | pubmed-3589714 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
record_format | MEDLINE/PubMed |
spelling | pubmed-35897142013-08-01 Lentiviral vector-based insertional mutagenesis identifies genes associated with liver cancer Ranzani, Marco Cesana, Daniela Bartholomae, Cynthia C. Sanvito, Francesca Pala, Mauro Benedicenti, Fabrizio Gallina, Pierangela Sergi, Lucia Sergi Merella, Stefania Bulfone, Alessandro Doglioni, Claudio von Kalle, Christof Kim, Yoon Jun Schmidt, Manfred Tonon, Giovanni Naldini, Luigi Montini, Eugenio Nat Methods Article Transposons and γ-retroviruses have been efficiently used as insertional mutagens in different tissues to identify molecular culprits of cancer. However, these systems are characterized by recurring integrations that accumulate in tumor cells, hampering the identification of early cancer-driving events amongst bystander and progression-related events. We developed an insertional mutagenesis platform based on lentiviral vectors (LVV) by which we could efficiently induce hepatocellular carcinoma (HCC) in 3 different mouse models. By virtue of LVV’s replication-deficient nature and broad genome-wide integration pattern, LVV-based insertional mutagenesis allowed identification of 4 new liver cancer genes from a limited number of integrations. We validated the oncogenic potential of all the identified genes in vivo, with different levels of penetrance. Our newly identified cancer genes are likely to play a role in human disease, since they are upregulated and/or amplified/deleted in human HCCs and can predict clinical outcome of patients. 2013-01-13 2013-02 /pmc/articles/PMC3589714/ /pubmed/23314173 http://dx.doi.org/10.1038/nmeth.2331 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Ranzani, Marco Cesana, Daniela Bartholomae, Cynthia C. Sanvito, Francesca Pala, Mauro Benedicenti, Fabrizio Gallina, Pierangela Sergi, Lucia Sergi Merella, Stefania Bulfone, Alessandro Doglioni, Claudio von Kalle, Christof Kim, Yoon Jun Schmidt, Manfred Tonon, Giovanni Naldini, Luigi Montini, Eugenio Lentiviral vector-based insertional mutagenesis identifies genes associated with liver cancer |
title | Lentiviral vector-based insertional mutagenesis identifies genes associated with liver cancer |
title_full | Lentiviral vector-based insertional mutagenesis identifies genes associated with liver cancer |
title_fullStr | Lentiviral vector-based insertional mutagenesis identifies genes associated with liver cancer |
title_full_unstemmed | Lentiviral vector-based insertional mutagenesis identifies genes associated with liver cancer |
title_short | Lentiviral vector-based insertional mutagenesis identifies genes associated with liver cancer |
title_sort | lentiviral vector-based insertional mutagenesis identifies genes associated with liver cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3589714/ https://www.ncbi.nlm.nih.gov/pubmed/23314173 http://dx.doi.org/10.1038/nmeth.2331 |
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