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Whole-genome mutational burden analysis of three pluripotency induction methods
There is concern that the stresses of inducing pluripotency may lead to deleterious DNA mutations in induced pluripotent stem cell (iPSC) lines, which would compromise their use for cell therapies. Here we report comparative genomic analysis of nine isogenic iPSC lines generated using three reprogra...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4762882/ https://www.ncbi.nlm.nih.gov/pubmed/26892726 http://dx.doi.org/10.1038/ncomms10536 |
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author | Bhutani, Kunal Nazor, Kristopher L. Williams, Roy Tran, Ha Dai, Heng Džakula, Željko Cho, Edward H. Pang, Andy W. C. Rao, Mahendra Cao, Han Schork, Nicholas J. Loring, Jeanne F. |
author_facet | Bhutani, Kunal Nazor, Kristopher L. Williams, Roy Tran, Ha Dai, Heng Džakula, Željko Cho, Edward H. Pang, Andy W. C. Rao, Mahendra Cao, Han Schork, Nicholas J. Loring, Jeanne F. |
author_sort | Bhutani, Kunal |
collection | PubMed |
description | There is concern that the stresses of inducing pluripotency may lead to deleterious DNA mutations in induced pluripotent stem cell (iPSC) lines, which would compromise their use for cell therapies. Here we report comparative genomic analysis of nine isogenic iPSC lines generated using three reprogramming methods: integrating retroviral vectors, non-integrating Sendai virus and synthetic mRNAs. We used whole-genome sequencing and de novo genome mapping to identify single-nucleotide variants, insertions and deletions, and structural variants. Our results show a moderate number of variants in the iPSCs that were not evident in the parental fibroblasts, which may result from reprogramming. There were only small differences in the total numbers and types of variants among different reprogramming methods. Most importantly, a thorough genomic analysis showed that the variants were generally benign. We conclude that the process of reprogramming is unlikely to introduce variants that would make the cells inappropriate for therapy. |
format | Online Article Text |
id | pubmed-4762882 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47628822016-03-04 Whole-genome mutational burden analysis of three pluripotency induction methods Bhutani, Kunal Nazor, Kristopher L. Williams, Roy Tran, Ha Dai, Heng Džakula, Željko Cho, Edward H. Pang, Andy W. C. Rao, Mahendra Cao, Han Schork, Nicholas J. Loring, Jeanne F. Nat Commun Article There is concern that the stresses of inducing pluripotency may lead to deleterious DNA mutations in induced pluripotent stem cell (iPSC) lines, which would compromise their use for cell therapies. Here we report comparative genomic analysis of nine isogenic iPSC lines generated using three reprogramming methods: integrating retroviral vectors, non-integrating Sendai virus and synthetic mRNAs. We used whole-genome sequencing and de novo genome mapping to identify single-nucleotide variants, insertions and deletions, and structural variants. Our results show a moderate number of variants in the iPSCs that were not evident in the parental fibroblasts, which may result from reprogramming. There were only small differences in the total numbers and types of variants among different reprogramming methods. Most importantly, a thorough genomic analysis showed that the variants were generally benign. We conclude that the process of reprogramming is unlikely to introduce variants that would make the cells inappropriate for therapy. Nature Publishing Group 2016-02-19 /pmc/articles/PMC4762882/ /pubmed/26892726 http://dx.doi.org/10.1038/ncomms10536 Text en Copyright © 2016, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Bhutani, Kunal Nazor, Kristopher L. Williams, Roy Tran, Ha Dai, Heng Džakula, Željko Cho, Edward H. Pang, Andy W. C. Rao, Mahendra Cao, Han Schork, Nicholas J. Loring, Jeanne F. Whole-genome mutational burden analysis of three pluripotency induction methods |
title | Whole-genome mutational burden analysis of three pluripotency induction methods |
title_full | Whole-genome mutational burden analysis of three pluripotency induction methods |
title_fullStr | Whole-genome mutational burden analysis of three pluripotency induction methods |
title_full_unstemmed | Whole-genome mutational burden analysis of three pluripotency induction methods |
title_short | Whole-genome mutational burden analysis of three pluripotency induction methods |
title_sort | whole-genome mutational burden analysis of three pluripotency induction methods |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4762882/ https://www.ncbi.nlm.nih.gov/pubmed/26892726 http://dx.doi.org/10.1038/ncomms10536 |
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