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Genomic landscape analyses of reprogrammed cells using integrative and non-integrative methods reveal variable cancer-associated alterations
Recent development of cell reprogramming technologies brought a major hope for future cell therapy applications by the use of these cells or their derivatives. For this purpose, one of the major requirements is the absence of genomic alterations generating a risk of cell transformation. Here we anal...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6505633/ https://www.ncbi.nlm.nih.gov/pubmed/31105870 http://dx.doi.org/10.18632/oncotarget.26857 |
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author | Griscelli, Frank Desterke, Christophe Feraud, Olivier Divers, Dominique Oudrhiri, Noufissa Tosca, Lucie Turhan, Ali G. Bennaceur-Griscelli, Annelise |
author_facet | Griscelli, Frank Desterke, Christophe Feraud, Olivier Divers, Dominique Oudrhiri, Noufissa Tosca, Lucie Turhan, Ali G. Bennaceur-Griscelli, Annelise |
author_sort | Griscelli, Frank |
collection | PubMed |
description | Recent development of cell reprogramming technologies brought a major hope for future cell therapy applications by the use of these cells or their derivatives. For this purpose, one of the major requirements is the absence of genomic alterations generating a risk of cell transformation. Here we analyzed by microarray-based comparative genomic hybridization human iPSC generated by two non-integrative and one integrative method at pluripotent stage as well as in corresponding teratomas. We show that all iPSC lines exhibit copy number variations (CNV) of several genes deregulated in oncogenesis. These cancer-associated genomic alterations were more pronounced in virally programmed hiPSCs and their derivative teratoma as compared to those found in iPSC generated by mRNA-mediated reprogramming. Bioinformatics analysis showed the involvement of these genes in human leukemia and carcinoma. We conclude that genetic screening should become a standard procedure to ensure that hiPSCs are free from cancer-associated genomic alterations before clinical use. |
format | Online Article Text |
id | pubmed-6505633 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-65056332019-05-17 Genomic landscape analyses of reprogrammed cells using integrative and non-integrative methods reveal variable cancer-associated alterations Griscelli, Frank Desterke, Christophe Feraud, Olivier Divers, Dominique Oudrhiri, Noufissa Tosca, Lucie Turhan, Ali G. Bennaceur-Griscelli, Annelise Oncotarget Research Paper Recent development of cell reprogramming technologies brought a major hope for future cell therapy applications by the use of these cells or their derivatives. For this purpose, one of the major requirements is the absence of genomic alterations generating a risk of cell transformation. Here we analyzed by microarray-based comparative genomic hybridization human iPSC generated by two non-integrative and one integrative method at pluripotent stage as well as in corresponding teratomas. We show that all iPSC lines exhibit copy number variations (CNV) of several genes deregulated in oncogenesis. These cancer-associated genomic alterations were more pronounced in virally programmed hiPSCs and their derivative teratoma as compared to those found in iPSC generated by mRNA-mediated reprogramming. Bioinformatics analysis showed the involvement of these genes in human leukemia and carcinoma. We conclude that genetic screening should become a standard procedure to ensure that hiPSCs are free from cancer-associated genomic alterations before clinical use. Impact Journals LLC 2019-04-12 /pmc/articles/PMC6505633/ /pubmed/31105870 http://dx.doi.org/10.18632/oncotarget.26857 Text en Copyright: © 2019 Griscelli et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Research Paper Griscelli, Frank Desterke, Christophe Feraud, Olivier Divers, Dominique Oudrhiri, Noufissa Tosca, Lucie Turhan, Ali G. Bennaceur-Griscelli, Annelise Genomic landscape analyses of reprogrammed cells using integrative and non-integrative methods reveal variable cancer-associated alterations |
title | Genomic landscape analyses of reprogrammed cells using integrative and non-integrative methods reveal variable cancer-associated alterations |
title_full | Genomic landscape analyses of reprogrammed cells using integrative and non-integrative methods reveal variable cancer-associated alterations |
title_fullStr | Genomic landscape analyses of reprogrammed cells using integrative and non-integrative methods reveal variable cancer-associated alterations |
title_full_unstemmed | Genomic landscape analyses of reprogrammed cells using integrative and non-integrative methods reveal variable cancer-associated alterations |
title_short | Genomic landscape analyses of reprogrammed cells using integrative and non-integrative methods reveal variable cancer-associated alterations |
title_sort | genomic landscape analyses of reprogrammed cells using integrative and non-integrative methods reveal variable cancer-associated alterations |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6505633/ https://www.ncbi.nlm.nih.gov/pubmed/31105870 http://dx.doi.org/10.18632/oncotarget.26857 |
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