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Gene-resolution analysis of DNA copy number variation using oligonucleotide expression microarrays

BACKGROUND: Array-based comparative genomic hybridization (aCGH) is a high-throughput method for measuring genome-wide DNA copy number changes. Current aCGH methods have limited resolution, sensitivity and reproducibility. Microarrays for aCGH are available only for a few organisms and combination o...

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Autores principales: Auer, Herbert, Newsom, David L, Nowak, Norma J, McHugh, Kirk M, Singh, Sunita, Yu, Chack-Yung, Yang, Yan, Wenger, Gail D, Gastier-Foster, Julie M, Kornacker, Karl
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1868757/
https://www.ncbi.nlm.nih.gov/pubmed/17470268
http://dx.doi.org/10.1186/1471-2164-8-111
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author Auer, Herbert
Newsom, David L
Nowak, Norma J
McHugh, Kirk M
Singh, Sunita
Yu, Chack-Yung
Yang, Yan
Wenger, Gail D
Gastier-Foster, Julie M
Kornacker, Karl
author_facet Auer, Herbert
Newsom, David L
Nowak, Norma J
McHugh, Kirk M
Singh, Sunita
Yu, Chack-Yung
Yang, Yan
Wenger, Gail D
Gastier-Foster, Julie M
Kornacker, Karl
author_sort Auer, Herbert
collection PubMed
description BACKGROUND: Array-based comparative genomic hybridization (aCGH) is a high-throughput method for measuring genome-wide DNA copy number changes. Current aCGH methods have limited resolution, sensitivity and reproducibility. Microarrays for aCGH are available only for a few organisms and combination of aCGH data with expression data is cumbersome. RESULTS: We present a novel method of using commercial oligonucleotide expression microarrays for aCGH, enabling DNA copy number measurements and expression profiles to be combined using the same platform. This method yields aCGH data from genomic DNA without complexity reduction at a median resolution of approximately 17,500 base pairs. Due to the well-defined nature of oligonucleotide probes, DNA amplification and deletion can be defined at the level of individual genes and can easily be combined with gene expression data. CONCLUSION: A novel method of gene resolution analysis of copy number variation (graCNV) yields high-resolution maps of DNA copy number changes and is applicable to a broad range of organisms for which commercial oligonucleotide expression microarrays are available. Due to the standardization of oligonucleotide microarrays, graCNV results can reliably be compared between laboratories and can easily be combined with gene expression data using the same platform.
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spelling pubmed-18687572007-05-15 Gene-resolution analysis of DNA copy number variation using oligonucleotide expression microarrays Auer, Herbert Newsom, David L Nowak, Norma J McHugh, Kirk M Singh, Sunita Yu, Chack-Yung Yang, Yan Wenger, Gail D Gastier-Foster, Julie M Kornacker, Karl BMC Genomics Methodology Article BACKGROUND: Array-based comparative genomic hybridization (aCGH) is a high-throughput method for measuring genome-wide DNA copy number changes. Current aCGH methods have limited resolution, sensitivity and reproducibility. Microarrays for aCGH are available only for a few organisms and combination of aCGH data with expression data is cumbersome. RESULTS: We present a novel method of using commercial oligonucleotide expression microarrays for aCGH, enabling DNA copy number measurements and expression profiles to be combined using the same platform. This method yields aCGH data from genomic DNA without complexity reduction at a median resolution of approximately 17,500 base pairs. Due to the well-defined nature of oligonucleotide probes, DNA amplification and deletion can be defined at the level of individual genes and can easily be combined with gene expression data. CONCLUSION: A novel method of gene resolution analysis of copy number variation (graCNV) yields high-resolution maps of DNA copy number changes and is applicable to a broad range of organisms for which commercial oligonucleotide expression microarrays are available. Due to the standardization of oligonucleotide microarrays, graCNV results can reliably be compared between laboratories and can easily be combined with gene expression data using the same platform. BioMed Central 2007-04-30 /pmc/articles/PMC1868757/ /pubmed/17470268 http://dx.doi.org/10.1186/1471-2164-8-111 Text en Copyright © 2007 Auer 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 Methodology Article
Auer, Herbert
Newsom, David L
Nowak, Norma J
McHugh, Kirk M
Singh, Sunita
Yu, Chack-Yung
Yang, Yan
Wenger, Gail D
Gastier-Foster, Julie M
Kornacker, Karl
Gene-resolution analysis of DNA copy number variation using oligonucleotide expression microarrays
title Gene-resolution analysis of DNA copy number variation using oligonucleotide expression microarrays
title_full Gene-resolution analysis of DNA copy number variation using oligonucleotide expression microarrays
title_fullStr Gene-resolution analysis of DNA copy number variation using oligonucleotide expression microarrays
title_full_unstemmed Gene-resolution analysis of DNA copy number variation using oligonucleotide expression microarrays
title_short Gene-resolution analysis of DNA copy number variation using oligonucleotide expression microarrays
title_sort gene-resolution analysis of dna copy number variation using oligonucleotide expression microarrays
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1868757/
https://www.ncbi.nlm.nih.gov/pubmed/17470268
http://dx.doi.org/10.1186/1471-2164-8-111
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