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Genetic Background Drives Transcriptional Variation in Human Induced Pluripotent Stem Cells
Human iPS cells have been generated using a diverse range of tissues from a variety of donors using different reprogramming vectors. However, these cell lines are heterogeneous, which presents a limitation for their use in disease modeling and personalized medicine. To explore the basis of this hete...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4046971/ https://www.ncbi.nlm.nih.gov/pubmed/24901476 http://dx.doi.org/10.1371/journal.pgen.1004432 |
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author | Rouhani, Foad Kumasaka, Natsuhiko de Brito, Miguel Cardoso Bradley, Allan Vallier, Ludovic Gaffney, Daniel |
author_facet | Rouhani, Foad Kumasaka, Natsuhiko de Brito, Miguel Cardoso Bradley, Allan Vallier, Ludovic Gaffney, Daniel |
author_sort | Rouhani, Foad |
collection | PubMed |
description | Human iPS cells have been generated using a diverse range of tissues from a variety of donors using different reprogramming vectors. However, these cell lines are heterogeneous, which presents a limitation for their use in disease modeling and personalized medicine. To explore the basis of this heterogeneity we generated 25 iPS cell lines under normalised conditions from the same set of somatic tissues across a number of donors. RNA-seq data sets from each cell line were compared to identify the majority contributors to transcriptional heterogeneity. We found that genetic differences between individual donors were the major cause of transcriptional variation between lines. In contrast, residual signatures from the somatic cell of origin, so called epigenetic memory, contributed relatively little to transcriptional variation. Thus, underlying genetic background variation is responsible for most heterogeneity between human iPS cell lines. We conclude that epigenetic effects in hIPSCs are minimal, and that hIPSCs are a stable, robust and powerful platform for large-scale studies of the function of genetic differences between individuals. Our data also suggest that future studies using hIPSCs as a model system should focus most effort on collection of large numbers of donors, rather than generating large numbers of lines from the same donor. |
format | Online Article Text |
id | pubmed-4046971 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-40469712014-06-09 Genetic Background Drives Transcriptional Variation in Human Induced Pluripotent Stem Cells Rouhani, Foad Kumasaka, Natsuhiko de Brito, Miguel Cardoso Bradley, Allan Vallier, Ludovic Gaffney, Daniel PLoS Genet Research Article Human iPS cells have been generated using a diverse range of tissues from a variety of donors using different reprogramming vectors. However, these cell lines are heterogeneous, which presents a limitation for their use in disease modeling and personalized medicine. To explore the basis of this heterogeneity we generated 25 iPS cell lines under normalised conditions from the same set of somatic tissues across a number of donors. RNA-seq data sets from each cell line were compared to identify the majority contributors to transcriptional heterogeneity. We found that genetic differences between individual donors were the major cause of transcriptional variation between lines. In contrast, residual signatures from the somatic cell of origin, so called epigenetic memory, contributed relatively little to transcriptional variation. Thus, underlying genetic background variation is responsible for most heterogeneity between human iPS cell lines. We conclude that epigenetic effects in hIPSCs are minimal, and that hIPSCs are a stable, robust and powerful platform for large-scale studies of the function of genetic differences between individuals. Our data also suggest that future studies using hIPSCs as a model system should focus most effort on collection of large numbers of donors, rather than generating large numbers of lines from the same donor. Public Library of Science 2014-06-05 /pmc/articles/PMC4046971/ /pubmed/24901476 http://dx.doi.org/10.1371/journal.pgen.1004432 Text en © 2014 Rouhani et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Rouhani, Foad Kumasaka, Natsuhiko de Brito, Miguel Cardoso Bradley, Allan Vallier, Ludovic Gaffney, Daniel Genetic Background Drives Transcriptional Variation in Human Induced Pluripotent Stem Cells |
title | Genetic Background Drives Transcriptional Variation in Human Induced Pluripotent Stem Cells |
title_full | Genetic Background Drives Transcriptional Variation in Human Induced Pluripotent Stem Cells |
title_fullStr | Genetic Background Drives Transcriptional Variation in Human Induced Pluripotent Stem Cells |
title_full_unstemmed | Genetic Background Drives Transcriptional Variation in Human Induced Pluripotent Stem Cells |
title_short | Genetic Background Drives Transcriptional Variation in Human Induced Pluripotent Stem Cells |
title_sort | genetic background drives transcriptional variation in human induced pluripotent stem cells |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4046971/ https://www.ncbi.nlm.nih.gov/pubmed/24901476 http://dx.doi.org/10.1371/journal.pgen.1004432 |
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