Cargando…

Absence/presence calling in microarray-based CGH experiments with non-model organisms

Structural variations in genomes are commonly studied by (micro)array-based comparative genomic hybridization. The data analysis methods to infer copy number variation in model organisms (human, mouse) are established. In principle, the procedures are based on signal ratios between test and referenc...

Descripción completa

Detalles Bibliográficos
Autores principales: Jonker, Martijs J., de Leeuw, Wim C., Marinković, Marino, Wittink, Floyd R. A., Rauwerda, Han, Bruning, Oskar, Ensink, Wim A., Fluit, Ad C., Boel, C. H., de Jong, Mark, Breit, Timo M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4066771/
https://www.ncbi.nlm.nih.gov/pubmed/24771343
http://dx.doi.org/10.1093/nar/gku343
_version_ 1782322212376674304
author Jonker, Martijs J.
de Leeuw, Wim C.
Marinković, Marino
Wittink, Floyd R. A.
Rauwerda, Han
Bruning, Oskar
Ensink, Wim A.
Fluit, Ad C.
Boel, C. H.
de Jong, Mark
Breit, Timo M.
author_facet Jonker, Martijs J.
de Leeuw, Wim C.
Marinković, Marino
Wittink, Floyd R. A.
Rauwerda, Han
Bruning, Oskar
Ensink, Wim A.
Fluit, Ad C.
Boel, C. H.
de Jong, Mark
Breit, Timo M.
author_sort Jonker, Martijs J.
collection PubMed
description Structural variations in genomes are commonly studied by (micro)array-based comparative genomic hybridization. The data analysis methods to infer copy number variation in model organisms (human, mouse) are established. In principle, the procedures are based on signal ratios between test and reference samples and the order of the probe targets in the genome. These procedures are less applicable to experiments with non-model organisms, which frequently comprise non-sequenced genomes with an unknown order of probe targets. We therefore present an additional analysis approach, which does not depend on the structural information of a reference genome, and quantifies the presence or absence of a probe target in an unknown genome. The principle is that intensity values of target probes are compared with the intensities of negative-control probes and positive-control probes from a control hybridization, to determine if a probe target is absent or present. In a test, analyzing the genome content of a known bacterial strain: Staphylococcus aureus MRSA252, this approach proved to be successful, demonstrated by receiver operating characteristic area under the curve values larger than 0.9995. We show its usability in various applications, such as comparing genome content and validating next-generation sequencing reads from eukaryotic non-model organisms.
format Online
Article
Text
id pubmed-4066771
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-40667712014-06-24 Absence/presence calling in microarray-based CGH experiments with non-model organisms Jonker, Martijs J. de Leeuw, Wim C. Marinković, Marino Wittink, Floyd R. A. Rauwerda, Han Bruning, Oskar Ensink, Wim A. Fluit, Ad C. Boel, C. H. de Jong, Mark Breit, Timo M. Nucleic Acids Res Methods Online Structural variations in genomes are commonly studied by (micro)array-based comparative genomic hybridization. The data analysis methods to infer copy number variation in model organisms (human, mouse) are established. In principle, the procedures are based on signal ratios between test and reference samples and the order of the probe targets in the genome. These procedures are less applicable to experiments with non-model organisms, which frequently comprise non-sequenced genomes with an unknown order of probe targets. We therefore present an additional analysis approach, which does not depend on the structural information of a reference genome, and quantifies the presence or absence of a probe target in an unknown genome. The principle is that intensity values of target probes are compared with the intensities of negative-control probes and positive-control probes from a control hybridization, to determine if a probe target is absent or present. In a test, analyzing the genome content of a known bacterial strain: Staphylococcus aureus MRSA252, this approach proved to be successful, demonstrated by receiver operating characteristic area under the curve values larger than 0.9995. We show its usability in various applications, such as comparing genome content and validating next-generation sequencing reads from eukaryotic non-model organisms. Oxford University Press 2014-07-01 2014-04-25 /pmc/articles/PMC4066771/ /pubmed/24771343 http://dx.doi.org/10.1093/nar/gku343 Text en © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods Online
Jonker, Martijs J.
de Leeuw, Wim C.
Marinković, Marino
Wittink, Floyd R. A.
Rauwerda, Han
Bruning, Oskar
Ensink, Wim A.
Fluit, Ad C.
Boel, C. H.
de Jong, Mark
Breit, Timo M.
Absence/presence calling in microarray-based CGH experiments with non-model organisms
title Absence/presence calling in microarray-based CGH experiments with non-model organisms
title_full Absence/presence calling in microarray-based CGH experiments with non-model organisms
title_fullStr Absence/presence calling in microarray-based CGH experiments with non-model organisms
title_full_unstemmed Absence/presence calling in microarray-based CGH experiments with non-model organisms
title_short Absence/presence calling in microarray-based CGH experiments with non-model organisms
title_sort absence/presence calling in microarray-based cgh experiments with non-model organisms
topic Methods Online
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4066771/
https://www.ncbi.nlm.nih.gov/pubmed/24771343
http://dx.doi.org/10.1093/nar/gku343
work_keys_str_mv AT jonkermartijsj absencepresencecallinginmicroarraybasedcghexperimentswithnonmodelorganisms
AT deleeuwwimc absencepresencecallinginmicroarraybasedcghexperimentswithnonmodelorganisms
AT marinkovicmarino absencepresencecallinginmicroarraybasedcghexperimentswithnonmodelorganisms
AT wittinkfloydra absencepresencecallinginmicroarraybasedcghexperimentswithnonmodelorganisms
AT rauwerdahan absencepresencecallinginmicroarraybasedcghexperimentswithnonmodelorganisms
AT bruningoskar absencepresencecallinginmicroarraybasedcghexperimentswithnonmodelorganisms
AT ensinkwima absencepresencecallinginmicroarraybasedcghexperimentswithnonmodelorganisms
AT fluitadc absencepresencecallinginmicroarraybasedcghexperimentswithnonmodelorganisms
AT boelch absencepresencecallinginmicroarraybasedcghexperimentswithnonmodelorganisms
AT dejongmark absencepresencecallinginmicroarraybasedcghexperimentswithnonmodelorganisms
AT breittimom absencepresencecallinginmicroarraybasedcghexperimentswithnonmodelorganisms