Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Rothenberg, S. Michael, Settleman, Jeff
Formato: Texto
Lenguaje:English
Publicado: Bentham Science Publishers Ltd 2010
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
_version_ 1782187156602617856
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