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Discovering Tumor Suppressor Genes Through Genome-Wide Copy Number Analysis
Classical tumor suppressor gene discovery has largely involved linkage analysis and loss-of-heterozygosity (LOH) screens, followed by detailed mapping of relatively large chromosomal regions. Subsequent efforts made use of genome-wide PCR-based methods to detect rare homozygous deletions. More recen...
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Formato: | Texto |
Lenguaje: | English |
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Bentham Science Publishers Ltd
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2944996/ https://www.ncbi.nlm.nih.gov/pubmed/21286308 http://dx.doi.org/10.2174/138920210791616734 |
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author | Rothenberg, S. Michael Settleman, Jeff |
author_facet | Rothenberg, S. Michael Settleman, Jeff |
author_sort | Rothenberg, S. Michael |
collection | PubMed |
description | Classical tumor suppressor gene discovery has largely involved linkage analysis and loss-of-heterozygosity (LOH) screens, followed by detailed mapping of relatively large chromosomal regions. Subsequent efforts made use of genome-wide PCR-based methods to detect rare homozygous deletions. More recently, high-resolution genomic arrays have been applied to cancer gene discovery. However, accurate characterization of regions of genomic loss is particularly challenging due to sample heterogeneity, the small size of deleted regions and the high frequency of germline copy number polymorphisms. Here, we review the application of genome-wide copy number analysis to the specific problem of identifying tumor suppressor genes. |
format | Text |
id | pubmed-2944996 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Bentham Science Publishers Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-29449962011-02-01 Discovering Tumor Suppressor Genes Through Genome-Wide Copy Number Analysis Rothenberg, S. Michael Settleman, Jeff Curr Genomics Article Classical tumor suppressor gene discovery has largely involved linkage analysis and loss-of-heterozygosity (LOH) screens, followed by detailed mapping of relatively large chromosomal regions. Subsequent efforts made use of genome-wide PCR-based methods to detect rare homozygous deletions. More recently, high-resolution genomic arrays have been applied to cancer gene discovery. However, accurate characterization of regions of genomic loss is particularly challenging due to sample heterogeneity, the small size of deleted regions and the high frequency of germline copy number polymorphisms. Here, we review the application of genome-wide copy number analysis to the specific problem of identifying tumor suppressor genes. Bentham Science Publishers Ltd 2010-08 /pmc/articles/PMC2944996/ /pubmed/21286308 http://dx.doi.org/10.2174/138920210791616734 Text en ©2010 Bentham Science Publishers Ltd. http://creativecommons.org/licenses/by/2.5/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.5/) which permits unrestrictive use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Article Rothenberg, S. Michael Settleman, Jeff Discovering Tumor Suppressor Genes Through Genome-Wide Copy Number Analysis |
title | Discovering Tumor Suppressor Genes Through Genome-Wide Copy Number Analysis |
title_full | Discovering Tumor Suppressor Genes Through Genome-Wide Copy Number Analysis |
title_fullStr | Discovering Tumor Suppressor Genes Through Genome-Wide Copy Number Analysis |
title_full_unstemmed | Discovering Tumor Suppressor Genes Through Genome-Wide Copy Number Analysis |
title_short | Discovering Tumor Suppressor Genes Through Genome-Wide Copy Number Analysis |
title_sort | discovering tumor suppressor genes through genome-wide copy number analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2944996/ https://www.ncbi.nlm.nih.gov/pubmed/21286308 http://dx.doi.org/10.2174/138920210791616734 |
work_keys_str_mv | AT rothenbergsmichael discoveringtumorsuppressorgenesthroughgenomewidecopynumberanalysis AT settlemanjeff discoveringtumorsuppressorgenesthroughgenomewidecopynumberanalysis |