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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
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.
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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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