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In depth comparison of an individual’s DNA and its lymphoblastoid cell line using whole genome sequencing
BACKGROUND: A detailed analysis of whole genomes can be now achieved with next generation sequencing. Epstein Barr Virus (EBV) transformation is a widely used strategy in clinical research to obtain an unlimited source of a subject’s DNA. Although the mechanism of transformation and immortalization...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3473256/ https://www.ncbi.nlm.nih.gov/pubmed/22974163 http://dx.doi.org/10.1186/1471-2164-13-477 |
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author | Nickles, Dorothee Madireddy, Lohith Yang, Shan Khankhanian, Pouya Lincoln, Steve Hauser, Stephen L Oksenberg, Jorge R Baranzini, Sergio E |
author_facet | Nickles, Dorothee Madireddy, Lohith Yang, Shan Khankhanian, Pouya Lincoln, Steve Hauser, Stephen L Oksenberg, Jorge R Baranzini, Sergio E |
author_sort | Nickles, Dorothee |
collection | PubMed |
description | BACKGROUND: A detailed analysis of whole genomes can be now achieved with next generation sequencing. Epstein Barr Virus (EBV) transformation is a widely used strategy in clinical research to obtain an unlimited source of a subject’s DNA. Although the mechanism of transformation and immortalization by EBV is relatively well known at the transcriptional and proteomic level, the genetic consequences of EBV transformation are less well understood. A detailed analysis of the genetic alterations introduced by EBV transformation is highly relevant, as it will inform on the usefulness and limitations of this approach. RESULTS: We used whole genome sequencing to assess the genomic signature of a low-passage lymphoblastoid cell line (LCL). Specifically, we sequenced the full genome (40X) of an individual using DNA purified from fresh whole blood as well as DNA from his LCL. A total of 217.33 Gb of sequence were generated from the cell line and 238.95 Gb from the normal genomic DNA. We determined with high confidence that 99.2% of the genomes were identical, with no reproducible changes in structural variation (chromosomal rearrangements and copy number variations) or insertion/deletion polymorphisms (indels). CONCLUSIONS: Our results suggest that, at this level of resolution, the LCL is genetically indistinguishable from its genomic counterpart and therefore their use in clinical research is not likely to introduce a significant bias. |
format | Online Article Text |
id | pubmed-3473256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-34732562012-10-18 In depth comparison of an individual’s DNA and its lymphoblastoid cell line using whole genome sequencing Nickles, Dorothee Madireddy, Lohith Yang, Shan Khankhanian, Pouya Lincoln, Steve Hauser, Stephen L Oksenberg, Jorge R Baranzini, Sergio E BMC Genomics Research Article BACKGROUND: A detailed analysis of whole genomes can be now achieved with next generation sequencing. Epstein Barr Virus (EBV) transformation is a widely used strategy in clinical research to obtain an unlimited source of a subject’s DNA. Although the mechanism of transformation and immortalization by EBV is relatively well known at the transcriptional and proteomic level, the genetic consequences of EBV transformation are less well understood. A detailed analysis of the genetic alterations introduced by EBV transformation is highly relevant, as it will inform on the usefulness and limitations of this approach. RESULTS: We used whole genome sequencing to assess the genomic signature of a low-passage lymphoblastoid cell line (LCL). Specifically, we sequenced the full genome (40X) of an individual using DNA purified from fresh whole blood as well as DNA from his LCL. A total of 217.33 Gb of sequence were generated from the cell line and 238.95 Gb from the normal genomic DNA. We determined with high confidence that 99.2% of the genomes were identical, with no reproducible changes in structural variation (chromosomal rearrangements and copy number variations) or insertion/deletion polymorphisms (indels). CONCLUSIONS: Our results suggest that, at this level of resolution, the LCL is genetically indistinguishable from its genomic counterpart and therefore their use in clinical research is not likely to introduce a significant bias. BioMed Central 2012-09-14 /pmc/articles/PMC3473256/ /pubmed/22974163 http://dx.doi.org/10.1186/1471-2164-13-477 Text en Copyright ©2012 Nickles et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Nickles, Dorothee Madireddy, Lohith Yang, Shan Khankhanian, Pouya Lincoln, Steve Hauser, Stephen L Oksenberg, Jorge R Baranzini, Sergio E In depth comparison of an individual’s DNA and its lymphoblastoid cell line using whole genome sequencing |
title | In depth comparison of an individual’s DNA and its lymphoblastoid cell line using whole genome sequencing |
title_full | In depth comparison of an individual’s DNA and its lymphoblastoid cell line using whole genome sequencing |
title_fullStr | In depth comparison of an individual’s DNA and its lymphoblastoid cell line using whole genome sequencing |
title_full_unstemmed | In depth comparison of an individual’s DNA and its lymphoblastoid cell line using whole genome sequencing |
title_short | In depth comparison of an individual’s DNA and its lymphoblastoid cell line using whole genome sequencing |
title_sort | in depth comparison of an individual’s dna and its lymphoblastoid cell line using whole genome sequencing |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3473256/ https://www.ncbi.nlm.nih.gov/pubmed/22974163 http://dx.doi.org/10.1186/1471-2164-13-477 |
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