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Single-molecule analysis of genome rearrangements in cancer
Rearrangements of the genome can be detected by microarray methods and massively parallel sequencing, which identify copy-number alterations and breakpoint junctions, but these techniques are poorly suited to reconstructing the long-range organization of rearranged chromosomes, for example, to disti...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3141271/ https://www.ncbi.nlm.nih.gov/pubmed/21525129 http://dx.doi.org/10.1093/nar/gkr227 |
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author | Pole, Jessica C. M. McCaughan, Frank Newman, Scott Howarth, Karen D. Dear, Paul H. Edwards, Paul A. W. |
author_facet | Pole, Jessica C. M. McCaughan, Frank Newman, Scott Howarth, Karen D. Dear, Paul H. Edwards, Paul A. W. |
author_sort | Pole, Jessica C. M. |
collection | PubMed |
description | Rearrangements of the genome can be detected by microarray methods and massively parallel sequencing, which identify copy-number alterations and breakpoint junctions, but these techniques are poorly suited to reconstructing the long-range organization of rearranged chromosomes, for example, to distinguish between translocations and insertions. The single-DNA-molecule technique HAPPY mapping is a method for mapping normal genomes that should be able to analyse genome rearrangements, i.e. deviations from a known genome map, to assemble rearrangements into a long-range map. We applied HAPPY mapping to cancer cell lines to show that it could identify rearrangement of genomic segments, even in the presence of normal copies of the genome. We could distinguish a simple interstitial deletion from a copy-number loss at an inversion junction, and detect a known translocation. We could determine whether junctions detected by sequencing were on the same chromosome, by measuring their linkage to each other, and hence map the rearrangement. Finally, we mapped an uncharacterized reciprocal translocation in the T-47D breast cancer cell line to about 2 kb and hence cloned the translocation junctions. We conclude that HAPPY mapping is a versatile tool for determining the structure of rearrangements in the human genome. |
format | Online Article Text |
id | pubmed-3141271 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-31412712011-07-22 Single-molecule analysis of genome rearrangements in cancer Pole, Jessica C. M. McCaughan, Frank Newman, Scott Howarth, Karen D. Dear, Paul H. Edwards, Paul A. W. Nucleic Acids Res Methods Online Rearrangements of the genome can be detected by microarray methods and massively parallel sequencing, which identify copy-number alterations and breakpoint junctions, but these techniques are poorly suited to reconstructing the long-range organization of rearranged chromosomes, for example, to distinguish between translocations and insertions. The single-DNA-molecule technique HAPPY mapping is a method for mapping normal genomes that should be able to analyse genome rearrangements, i.e. deviations from a known genome map, to assemble rearrangements into a long-range map. We applied HAPPY mapping to cancer cell lines to show that it could identify rearrangement of genomic segments, even in the presence of normal copies of the genome. We could distinguish a simple interstitial deletion from a copy-number loss at an inversion junction, and detect a known translocation. We could determine whether junctions detected by sequencing were on the same chromosome, by measuring their linkage to each other, and hence map the rearrangement. Finally, we mapped an uncharacterized reciprocal translocation in the T-47D breast cancer cell line to about 2 kb and hence cloned the translocation junctions. We conclude that HAPPY mapping is a versatile tool for determining the structure of rearrangements in the human genome. Oxford University Press 2011-07 2011-04-27 /pmc/articles/PMC3141271/ /pubmed/21525129 http://dx.doi.org/10.1093/nar/gkr227 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Online Pole, Jessica C. M. McCaughan, Frank Newman, Scott Howarth, Karen D. Dear, Paul H. Edwards, Paul A. W. Single-molecule analysis of genome rearrangements in cancer |
title | Single-molecule analysis of genome rearrangements in cancer |
title_full | Single-molecule analysis of genome rearrangements in cancer |
title_fullStr | Single-molecule analysis of genome rearrangements in cancer |
title_full_unstemmed | Single-molecule analysis of genome rearrangements in cancer |
title_short | Single-molecule analysis of genome rearrangements in cancer |
title_sort | single-molecule analysis of genome rearrangements in cancer |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3141271/ https://www.ncbi.nlm.nih.gov/pubmed/21525129 http://dx.doi.org/10.1093/nar/gkr227 |
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