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Single-cell paired-end genome sequencing reveals structural variation per cell cycle
The nature and pace of genome mutation is largely unknown. Because standard methods sequence DNA from populations of cells, the genetic composition of individual cells is lost, de novo mutations in cells are concealed within the bulk signal and per cell cycle mutation rates and mechanisms remain elu...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3695511/ https://www.ncbi.nlm.nih.gov/pubmed/23630320 http://dx.doi.org/10.1093/nar/gkt345 |
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author | Voet, Thierry Kumar, Parveen Van Loo, Peter Cooke, Susanna L. Marshall, John Lin, Meng-Lay Zamani Esteki, Masoud Van der Aa, Niels Mateiu, Ligia McBride, David J. Bignell, Graham R. McLaren, Stuart Teague, Jon Butler, Adam Raine, Keiran Stebbings, Lucy A. Quail, Michael A. D’Hooghe, Thomas Moreau, Yves Futreal, P. Andrew Stratton, Michael R. Vermeesch, Joris R. Campbell, Peter J. |
author_facet | Voet, Thierry Kumar, Parveen Van Loo, Peter Cooke, Susanna L. Marshall, John Lin, Meng-Lay Zamani Esteki, Masoud Van der Aa, Niels Mateiu, Ligia McBride, David J. Bignell, Graham R. McLaren, Stuart Teague, Jon Butler, Adam Raine, Keiran Stebbings, Lucy A. Quail, Michael A. D’Hooghe, Thomas Moreau, Yves Futreal, P. Andrew Stratton, Michael R. Vermeesch, Joris R. Campbell, Peter J. |
author_sort | Voet, Thierry |
collection | PubMed |
description | The nature and pace of genome mutation is largely unknown. Because standard methods sequence DNA from populations of cells, the genetic composition of individual cells is lost, de novo mutations in cells are concealed within the bulk signal and per cell cycle mutation rates and mechanisms remain elusive. Although single-cell genome analyses could resolve these problems, such analyses are error-prone because of whole-genome amplification (WGA) artefacts and are limited in the types of DNA mutation that can be discerned. We developed methods for paired-end sequence analysis of single-cell WGA products that enable (i) detecting multiple classes of DNA mutation, (ii) distinguishing DNA copy number changes from allelic WGA-amplification artefacts by the discovery of matching aberrantly mapping read pairs among the surfeit of paired-end WGA and mapping artefacts and (iii) delineating the break points and architecture of structural variants. By applying the methods, we capture DNA copy number changes acquired over one cell cycle in breast cancer cells and in blastomeres derived from a human zygote after in vitro fertilization. Furthermore, we were able to discover and fine-map a heritable inter-chromosomal rearrangement t(1;16)(p36;p12) by sequencing a single blastomere. The methods will expedite applications in basic genome research and provide a stepping stone to novel approaches for clinical genetic diagnosis. |
format | Online Article Text |
id | pubmed-3695511 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-36955112013-06-28 Single-cell paired-end genome sequencing reveals structural variation per cell cycle Voet, Thierry Kumar, Parveen Van Loo, Peter Cooke, Susanna L. Marshall, John Lin, Meng-Lay Zamani Esteki, Masoud Van der Aa, Niels Mateiu, Ligia McBride, David J. Bignell, Graham R. McLaren, Stuart Teague, Jon Butler, Adam Raine, Keiran Stebbings, Lucy A. Quail, Michael A. D’Hooghe, Thomas Moreau, Yves Futreal, P. Andrew Stratton, Michael R. Vermeesch, Joris R. Campbell, Peter J. Nucleic Acids Res Genomics The nature and pace of genome mutation is largely unknown. Because standard methods sequence DNA from populations of cells, the genetic composition of individual cells is lost, de novo mutations in cells are concealed within the bulk signal and per cell cycle mutation rates and mechanisms remain elusive. Although single-cell genome analyses could resolve these problems, such analyses are error-prone because of whole-genome amplification (WGA) artefacts and are limited in the types of DNA mutation that can be discerned. We developed methods for paired-end sequence analysis of single-cell WGA products that enable (i) detecting multiple classes of DNA mutation, (ii) distinguishing DNA copy number changes from allelic WGA-amplification artefacts by the discovery of matching aberrantly mapping read pairs among the surfeit of paired-end WGA and mapping artefacts and (iii) delineating the break points and architecture of structural variants. By applying the methods, we capture DNA copy number changes acquired over one cell cycle in breast cancer cells and in blastomeres derived from a human zygote after in vitro fertilization. Furthermore, we were able to discover and fine-map a heritable inter-chromosomal rearrangement t(1;16)(p36;p12) by sequencing a single blastomere. The methods will expedite applications in basic genome research and provide a stepping stone to novel approaches for clinical genetic diagnosis. Oxford University Press 2013-07 2013-04-27 /pmc/articles/PMC3695511/ /pubmed/23630320 http://dx.doi.org/10.1093/nar/gkt345 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Genomics Voet, Thierry Kumar, Parveen Van Loo, Peter Cooke, Susanna L. Marshall, John Lin, Meng-Lay Zamani Esteki, Masoud Van der Aa, Niels Mateiu, Ligia McBride, David J. Bignell, Graham R. McLaren, Stuart Teague, Jon Butler, Adam Raine, Keiran Stebbings, Lucy A. Quail, Michael A. D’Hooghe, Thomas Moreau, Yves Futreal, P. Andrew Stratton, Michael R. Vermeesch, Joris R. Campbell, Peter J. Single-cell paired-end genome sequencing reveals structural variation per cell cycle |
title | Single-cell paired-end genome sequencing reveals structural variation per cell cycle |
title_full | Single-cell paired-end genome sequencing reveals structural variation per cell cycle |
title_fullStr | Single-cell paired-end genome sequencing reveals structural variation per cell cycle |
title_full_unstemmed | Single-cell paired-end genome sequencing reveals structural variation per cell cycle |
title_short | Single-cell paired-end genome sequencing reveals structural variation per cell cycle |
title_sort | single-cell paired-end genome sequencing reveals structural variation per cell cycle |
topic | Genomics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3695511/ https://www.ncbi.nlm.nih.gov/pubmed/23630320 http://dx.doi.org/10.1093/nar/gkt345 |
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