Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1782124252629041152 |
---|---|
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. |
format | Text |
id | pubmed-1140753 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT petersendavid threemicroarrayplatformsananalysisoftheirconcordanceinprofilinggeneexpression AT chandramouligvr threemicroarrayplatformsananalysisoftheirconcordanceinprofilinggeneexpression AT geogheganjoel threemicroarrayplatformsananalysisoftheirconcordanceinprofilinggeneexpression AT hilburnjoanne threemicroarrayplatformsananalysisoftheirconcordanceinprofilinggeneexpression AT paarlbergjonathon threemicroarrayplatformsananalysisoftheirconcordanceinprofilinggeneexpression AT kimchanghee threemicroarrayplatformsananalysisoftheirconcordanceinprofilinggeneexpression AT munroedavid threemicroarrayplatformsananalysisoftheirconcordanceinprofilinggeneexpression AT gangilisa threemicroarrayplatformsananalysisoftheirconcordanceinprofilinggeneexpression AT hanjing threemicroarrayplatformsananalysisoftheirconcordanceinprofilinggeneexpression AT puriraj threemicroarrayplatformsananalysisoftheirconcordanceinprofilinggeneexpression AT staudtlou threemicroarrayplatformsananalysisoftheirconcordanceinprofilinggeneexpression AT weinsteinjohn threemicroarrayplatformsananalysisoftheirconcordanceinprofilinggeneexpression AT barrettjcarl threemicroarrayplatformsananalysisoftheirconcordanceinprofilinggeneexpression AT greenjeffrey threemicroarrayplatformsananalysisoftheirconcordanceinprofilinggeneexpression AT kawasakiernests threemicroarrayplatformsananalysisoftheirconcordanceinprofilinggeneexpression |