Comparison of the Agilent, ROMA/NimbleGen and Illumina platforms for classification of copy number alterations in human breast tumors.

2.50
Hdl Handle:
http://hdl.handle.net/10143/71654
Title:
Comparison of the Agilent, ROMA/NimbleGen and Illumina platforms for classification of copy number alterations in human breast tumors.
Authors:
Baumbusch, Lars Oliver; Aarøe, Jørgen; Johansen, Finn-Erik; Hicks, J; Sun, H; Bruhn, L; Gunderson, K; Naume, B; Kristensen, V N; Liestøl, K; Børresen-Dale, A-L; Lingjaerde, O C
Citation:
BMC genomics 2008, 9:379

Full metadata record

DC FieldValue Language
dc.contributor.authorBaumbusch, Lars Oliver-
dc.contributor.authorAarøe, Jørgen-
dc.contributor.authorJohansen, Finn-Erik-
dc.contributor.authorHicks, J-
dc.contributor.authorSun, H-
dc.contributor.authorBruhn, L-
dc.contributor.authorGunderson, K-
dc.contributor.authorNaume, B-
dc.contributor.authorKristensen, V N-
dc.contributor.authorLiestøl, K-
dc.contributor.authorBørresen-Dale, A-L-
dc.contributor.authorLingjaerde, O C-
dc.date.accessioned2009-06-26T12:01:55Z-
dc.date.available2009-06-26T12:01:55Z-
dc.date.issued2008-08-08-
dc.identifier.citationBMC genomics 2008, 9:379en
dc.identifier.issn1471-2164-
dc.identifier.pmid18691401-
dc.identifier.doi10.1186/1471-2164-9-379-
dc.identifier.urihttp://hdl.handle.net/10143/71654-
dc.description.abstractBACKGROUND: Microarray Comparative Genomic Hybridization (array CGH) provides a means to examine DNA copy number aberrations. Various platforms, brands and underlying technologies are available, facing the user with many choices regarding platform sensitivity and number, localization, and density distribution of probes. RESULTS: We evaluate three different platforms presenting different nature and arrangement of the probes: The Agilent Human Genome CGH Microarray 44 k, the ROMA/NimbleGen Representational Oligonucleotide Microarray 82 k, and the Illumina Human-1 Genotyping 109 k BeadChip, with Agilent being gene oriented, ROMA/NimbleGen being genome oriented, and Illumina being genotyping oriented. We investigated copy number changes in 20 human breast tumor samples representing different gene expression subclasses, using a suite of graphical and statistical methods designed to work across platforms. Despite substantial differences in the composition and spatial distribution of probes, the comparison revealed high overall concordance. Notably however, some short amplifications and deletions of potential biological importance were not detected by all platforms. Both correlation and cluster analysis indicate a somewhat higher similarity between ROMA/NimbleGen and Illumina than between Agilent and the other two platforms. The programs developed for the analysis are available from http://www.ifi.uio.no/bioinf/Projects/. CONCLUSION: We conclude that platforms based on different technology principles reveal similar aberration patterns, although we observed some unique amplification or deletion peaks at various locations, only detected by one of the platforms. The correct platform choice for a particular study is dependent on whether the appointed research intention is gene, genome, or genotype oriented.en
dc.language.isoenen
dc.subjectVDP::Medisinske Fag: 700::Klinisk medisinske fag: 750::Onkologi: 762en
dc.subjectBasale medisinske, odontologiske og veterinærmedisinske fag: 710::Medisinsk genetikk: 714en
dc.subject.meshAlgorithmsen
dc.subject.meshBreast Neoplasmsen
dc.subject.meshChromosome Aberrationsen
dc.subject.meshCluster Analysisen
dc.subject.meshDatabases, Geneticen
dc.subject.meshFemaleen
dc.subject.meshGene Dosageen
dc.subject.meshGene Expression Profilingen
dc.subject.meshGenome, Humanen
dc.subject.meshHumansen
dc.subject.meshMaleen
dc.subject.meshOligonucleotide Array Sequence Analysisen
dc.subject.meshOligonucleotide Probesen
dc.subject.meshROC Curveen
dc.subject.meshSensitivity and Specificityen
dc.titleComparison of the Agilent, ROMA/NimbleGen and Illumina platforms for classification of copy number alterations in human breast tumors.en
dc.typeJournal articleen
dc.typepeer revieweden
dc.contributor.departmentDepartment of Genetics, Institute for Cancer Research, Norwegian Radium Hospital, Rikshospitalet University Hospital, 0310 Oslo, Norway. lars.o.baumbusch@rr-research.noen
dc.identifier.journalBMC genomicsen
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