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Comparative RNA-Seq and Microarray Analysis of Gene Expression Changes in B-Cell Lymphomas of Canis familiaris

Comparative oncology is a developing research discipline that is being used to assist our understanding of human neoplastic diseases. Companion canines are a preferred animal oncology model due to spontaneous tumor development and similarity to human disease at the pathophysiological level. We use a...

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Autores principales: Mooney, Marie, Bond, Jeffrey, Monks, Noel, Eugster, Emily, Cherba, David, Berlinski, Pamela, Kamerling, Steve, Marotti, Keith, Simpson, Heather, Rusk, Tony, Tembe, Waibhav, Legendre, Christophe, Benson, Hollie, Liang, Winnie, Webb, Craig Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3617154/
https://www.ncbi.nlm.nih.gov/pubmed/23593398
http://dx.doi.org/10.1371/journal.pone.0061088
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author Mooney, Marie
Bond, Jeffrey
Monks, Noel
Eugster, Emily
Cherba, David
Berlinski, Pamela
Kamerling, Steve
Marotti, Keith
Simpson, Heather
Rusk, Tony
Tembe, Waibhav
Legendre, Christophe
Benson, Hollie
Liang, Winnie
Webb, Craig Paul
author_facet Mooney, Marie
Bond, Jeffrey
Monks, Noel
Eugster, Emily
Cherba, David
Berlinski, Pamela
Kamerling, Steve
Marotti, Keith
Simpson, Heather
Rusk, Tony
Tembe, Waibhav
Legendre, Christophe
Benson, Hollie
Liang, Winnie
Webb, Craig Paul
author_sort Mooney, Marie
collection PubMed
description Comparative oncology is a developing research discipline that is being used to assist our understanding of human neoplastic diseases. Companion canines are a preferred animal oncology model due to spontaneous tumor development and similarity to human disease at the pathophysiological level. We use a paired RNA sequencing (RNA-Seq)/microarray analysis of a set of four normal canine lymph nodes and ten canine lymphoma fine needle aspirates to identify technical biases and variation between the technologies and convergence on biological disease pathways. Surrogate Variable Analysis (SVA) provides a formal multivariate analysis of the combined RNA-Seq/microarray data set. Applying SVA to the data allows us to decompose variation into contributions associated with transcript abundance, differences between the technology, and latent variation within each technology. A substantial and highly statistically significant component of the variation reflects transcript abundance, and RNA-Seq appeared more sensitive for detection of transcripts expressed at low levels. Latent random variation among RNA-Seq samples is also distinct in character from that impacting microarray samples. In particular, we observed variation between RNA-Seq samples that reflects transcript GC content. Platform-independent variable decomposition without a priori knowledge of the sources of variation using SVA represents a generalizable method for accomplishing cross-platform data analysis. We identified genes differentially expressed between normal lymph nodes of disease free dogs and a subset of the diseased dogs diagnosed with B-cell lymphoma using each technology. There is statistically significant overlap between the RNA-Seq and microarray sets of differentially expressed genes. Analysis of overlapping genes in the context of biological systems suggests elevated expression and activity of PI3K signaling in B-cell lymphoma biopsies compared with normal biopsies, consistent with literature describing successful use of drugs targeting this pathway in lymphomas.
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spelling pubmed-36171542013-04-16 Comparative RNA-Seq and Microarray Analysis of Gene Expression Changes in B-Cell Lymphomas of Canis familiaris Mooney, Marie Bond, Jeffrey Monks, Noel Eugster, Emily Cherba, David Berlinski, Pamela Kamerling, Steve Marotti, Keith Simpson, Heather Rusk, Tony Tembe, Waibhav Legendre, Christophe Benson, Hollie Liang, Winnie Webb, Craig Paul PLoS One Research Article Comparative oncology is a developing research discipline that is being used to assist our understanding of human neoplastic diseases. Companion canines are a preferred animal oncology model due to spontaneous tumor development and similarity to human disease at the pathophysiological level. We use a paired RNA sequencing (RNA-Seq)/microarray analysis of a set of four normal canine lymph nodes and ten canine lymphoma fine needle aspirates to identify technical biases and variation between the technologies and convergence on biological disease pathways. Surrogate Variable Analysis (SVA) provides a formal multivariate analysis of the combined RNA-Seq/microarray data set. Applying SVA to the data allows us to decompose variation into contributions associated with transcript abundance, differences between the technology, and latent variation within each technology. A substantial and highly statistically significant component of the variation reflects transcript abundance, and RNA-Seq appeared more sensitive for detection of transcripts expressed at low levels. Latent random variation among RNA-Seq samples is also distinct in character from that impacting microarray samples. In particular, we observed variation between RNA-Seq samples that reflects transcript GC content. Platform-independent variable decomposition without a priori knowledge of the sources of variation using SVA represents a generalizable method for accomplishing cross-platform data analysis. We identified genes differentially expressed between normal lymph nodes of disease free dogs and a subset of the diseased dogs diagnosed with B-cell lymphoma using each technology. There is statistically significant overlap between the RNA-Seq and microarray sets of differentially expressed genes. Analysis of overlapping genes in the context of biological systems suggests elevated expression and activity of PI3K signaling in B-cell lymphoma biopsies compared with normal biopsies, consistent with literature describing successful use of drugs targeting this pathway in lymphomas. Public Library of Science 2013-04-04 /pmc/articles/PMC3617154/ /pubmed/23593398 http://dx.doi.org/10.1371/journal.pone.0061088 Text en © 2013 Mooney et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Mooney, Marie
Bond, Jeffrey
Monks, Noel
Eugster, Emily
Cherba, David
Berlinski, Pamela
Kamerling, Steve
Marotti, Keith
Simpson, Heather
Rusk, Tony
Tembe, Waibhav
Legendre, Christophe
Benson, Hollie
Liang, Winnie
Webb, Craig Paul
Comparative RNA-Seq and Microarray Analysis of Gene Expression Changes in B-Cell Lymphomas of Canis familiaris
title Comparative RNA-Seq and Microarray Analysis of Gene Expression Changes in B-Cell Lymphomas of Canis familiaris
title_full Comparative RNA-Seq and Microarray Analysis of Gene Expression Changes in B-Cell Lymphomas of Canis familiaris
title_fullStr Comparative RNA-Seq and Microarray Analysis of Gene Expression Changes in B-Cell Lymphomas of Canis familiaris
title_full_unstemmed Comparative RNA-Seq and Microarray Analysis of Gene Expression Changes in B-Cell Lymphomas of Canis familiaris
title_short Comparative RNA-Seq and Microarray Analysis of Gene Expression Changes in B-Cell Lymphomas of Canis familiaris
title_sort comparative rna-seq and microarray analysis of gene expression changes in b-cell lymphomas of canis familiaris
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3617154/
https://www.ncbi.nlm.nih.gov/pubmed/23593398
http://dx.doi.org/10.1371/journal.pone.0061088
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