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Three microarray platforms: an analysis of their concordance in profiling gene expression

BACKGROUND: Microarrays for the analysis of gene expression are of three different types: short oligonucleotide (25–30 base), long oligonucleotide (50–80 base), and cDNA (highly variable in length). The short oligonucleotide and cDNA arrays have been the mainstay of expression analysis to date, but...

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Autores principales: Petersen, David, Chandramouli, GVR, Geoghegan, Joel, Hilburn, Joanne, Paarlberg, Jonathon, Kim, Chang Hee, Munroe, David, Gangi, Lisa, Han, Jing, Puri, Raj, Staudt, Lou, Weinstein, John, Barrett, J Carl, Green, Jeffrey, Kawasaki, Ernest S
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1140753/
https://www.ncbi.nlm.nih.gov/pubmed/15876355
http://dx.doi.org/10.1186/1471-2164-6-63
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author Petersen, David
Chandramouli, GVR
Geoghegan, Joel
Hilburn, Joanne
Paarlberg, Jonathon
Kim, Chang Hee
Munroe, David
Gangi, Lisa
Han, Jing
Puri, Raj
Staudt, Lou
Weinstein, John
Barrett, J Carl
Green, Jeffrey
Kawasaki, Ernest S
author_facet Petersen, David
Chandramouli, GVR
Geoghegan, Joel
Hilburn, Joanne
Paarlberg, Jonathon
Kim, Chang Hee
Munroe, David
Gangi, Lisa
Han, Jing
Puri, Raj
Staudt, Lou
Weinstein, John
Barrett, J Carl
Green, Jeffrey
Kawasaki, Ernest S
author_sort Petersen, David
collection PubMed
description BACKGROUND: Microarrays for the analysis of gene expression are of three different types: short oligonucleotide (25–30 base), long oligonucleotide (50–80 base), and cDNA (highly variable in length). The short oligonucleotide and cDNA arrays have been the mainstay of expression analysis to date, but long oligonucleotide platforms are gaining in popularity and will probably replace cDNA arrays. As part of a validation study for the long oligonucleotide arrays, we compared and contrasted expression profiles from the three formats, testing RNA from six different cell lines against a universal reference standard. RESULTS: The three platforms had 6430 genes in common. In general, correlation of gene expression levels across the platforms was good when defined by concordance in the direction of expression difference (upregulation or downregulation), scatter plot analysis, principal component analysis, cell line correlation or quantitative RT-PCR. The overall correlations (r values) between platforms were in the range 0.7 to 0.8, as determined by analysis of scatter plots. When concordance was measured for expression ratios significant at p-values of <0.05 and at expression threshold levels of 1.5 and 2-fold, the agreement among the platforms was very high, ranging from 93% to 100%. CONCLUSION: Our results indicate that the long oligonucleotide platform is highly suitable for expression analysis and compares favorably with the cDNA and short oligonucleotide varieties. All three platforms can give similar and reproducible results if the criterion is the direction of change in gene expression and minimal emphasis is placed on the magnitude of change.
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spelling pubmed-11407532005-05-28 Three microarray platforms: an analysis of their concordance in profiling gene expression Petersen, David Chandramouli, GVR Geoghegan, Joel Hilburn, Joanne Paarlberg, Jonathon Kim, Chang Hee Munroe, David Gangi, Lisa Han, Jing Puri, Raj Staudt, Lou Weinstein, John Barrett, J Carl Green, Jeffrey Kawasaki, Ernest S BMC Genomics Research Article BACKGROUND: Microarrays for the analysis of gene expression are of three different types: short oligonucleotide (25–30 base), long oligonucleotide (50–80 base), and cDNA (highly variable in length). The short oligonucleotide and cDNA arrays have been the mainstay of expression analysis to date, but long oligonucleotide platforms are gaining in popularity and will probably replace cDNA arrays. As part of a validation study for the long oligonucleotide arrays, we compared and contrasted expression profiles from the three formats, testing RNA from six different cell lines against a universal reference standard. RESULTS: The three platforms had 6430 genes in common. In general, correlation of gene expression levels across the platforms was good when defined by concordance in the direction of expression difference (upregulation or downregulation), scatter plot analysis, principal component analysis, cell line correlation or quantitative RT-PCR. The overall correlations (r values) between platforms were in the range 0.7 to 0.8, as determined by analysis of scatter plots. When concordance was measured for expression ratios significant at p-values of <0.05 and at expression threshold levels of 1.5 and 2-fold, the agreement among the platforms was very high, ranging from 93% to 100%. CONCLUSION: Our results indicate that the long oligonucleotide platform is highly suitable for expression analysis and compares favorably with the cDNA and short oligonucleotide varieties. All three platforms can give similar and reproducible results if the criterion is the direction of change in gene expression and minimal emphasis is placed on the magnitude of change. BioMed Central 2005-05-05 /pmc/articles/PMC1140753/ /pubmed/15876355 http://dx.doi.org/10.1186/1471-2164-6-63 Text en Copyright © 2005 Petersen 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 Research Article
Petersen, David
Chandramouli, GVR
Geoghegan, Joel
Hilburn, Joanne
Paarlberg, Jonathon
Kim, Chang Hee
Munroe, David
Gangi, Lisa
Han, Jing
Puri, Raj
Staudt, Lou
Weinstein, John
Barrett, J Carl
Green, Jeffrey
Kawasaki, Ernest S
Three microarray platforms: an analysis of their concordance in profiling gene expression
title Three microarray platforms: an analysis of their concordance in profiling gene expression
title_full Three microarray platforms: an analysis of their concordance in profiling gene expression
title_fullStr Three microarray platforms: an analysis of their concordance in profiling gene expression
title_full_unstemmed Three microarray platforms: an analysis of their concordance in profiling gene expression
title_short Three microarray platforms: an analysis of their concordance in profiling gene expression
title_sort three microarray platforms: an analysis of their concordance in profiling gene expression
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1140753/
https://www.ncbi.nlm.nih.gov/pubmed/15876355
http://dx.doi.org/10.1186/1471-2164-6-63
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