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Universal Reference RNA as a standard for microarray experiments

BACKGROUND: Obtaining reliable and reproducible two-color microarray gene expression data is critically important for understanding the biological significance of perturbations made on a cellular system. Microarray design, RNA preparation and labeling, hybridization conditions and data acquisition a...

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Autores principales: Novoradovskaya, Natalia, Whitfield, Michael L, Basehore, Lee S, Novoradovsky, Alexey, Pesich, Robert, Usary, Jerry, Karaca, Mehmet, Wong, Winston K, Aprelikova, Olga, Fero, Michael, Perou, Charles M, Botstein, David, Braman, Jeff
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC394318/
https://www.ncbi.nlm.nih.gov/pubmed/15113400
http://dx.doi.org/10.1186/1471-2164-5-20
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author Novoradovskaya, Natalia
Whitfield, Michael L
Basehore, Lee S
Novoradovsky, Alexey
Pesich, Robert
Usary, Jerry
Karaca, Mehmet
Wong, Winston K
Aprelikova, Olga
Fero, Michael
Perou, Charles M
Botstein, David
Braman, Jeff
author_facet Novoradovskaya, Natalia
Whitfield, Michael L
Basehore, Lee S
Novoradovsky, Alexey
Pesich, Robert
Usary, Jerry
Karaca, Mehmet
Wong, Winston K
Aprelikova, Olga
Fero, Michael
Perou, Charles M
Botstein, David
Braman, Jeff
author_sort Novoradovskaya, Natalia
collection PubMed
description BACKGROUND: Obtaining reliable and reproducible two-color microarray gene expression data is critically important for understanding the biological significance of perturbations made on a cellular system. Microarray design, RNA preparation and labeling, hybridization conditions and data acquisition and analysis are variables difficult to simultaneously control. A useful tool for monitoring and controlling intra- and inter-experimental variation is Universal Reference RNA (URR), developed with the goal of providing hybridization signal at each microarray probe location (spot). Measuring signal at each spot as the ratio of experimental RNA to reference RNA targets, rather than relying on absolute signal intensity, decreases variability by normalizing signal output in any two-color hybridization experiment. RESULTS: Human, mouse and rat URR (UHRR, UMRR and URRR, respectively) were prepared from pools of RNA derived from individual cell lines representing different tissues. A variety of microarrays were used to determine percentage of spots hybridizing with URR and producing signal above a user defined threshold (microarray coverage). Microarray coverage was consistently greater than 80% for all arrays tested. We confirmed that individual cell lines contribute their own unique set of genes to URR, arguing for a pool of RNA from several cell lines as a better configuration for URR as opposed to a single cell line source for URR. Microarray coverage comparing two separately prepared batches each of UHRR, UMRR and URRR were highly correlated (Pearson's correlation coefficients of 0.97). CONCLUSION: Results of this study demonstrate that large quantities of pooled RNA from individual cell lines are reproducibly prepared and possess diverse gene representation. This type of reference provides a standard for reducing variation in microarray experiments and allows more reliable comparison of gene expression data within and between experiments and laboratories.
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spelling pubmed-3943182004-04-22 Universal Reference RNA as a standard for microarray experiments Novoradovskaya, Natalia Whitfield, Michael L Basehore, Lee S Novoradovsky, Alexey Pesich, Robert Usary, Jerry Karaca, Mehmet Wong, Winston K Aprelikova, Olga Fero, Michael Perou, Charles M Botstein, David Braman, Jeff BMC Genomics Methodology Article BACKGROUND: Obtaining reliable and reproducible two-color microarray gene expression data is critically important for understanding the biological significance of perturbations made on a cellular system. Microarray design, RNA preparation and labeling, hybridization conditions and data acquisition and analysis are variables difficult to simultaneously control. A useful tool for monitoring and controlling intra- and inter-experimental variation is Universal Reference RNA (URR), developed with the goal of providing hybridization signal at each microarray probe location (spot). Measuring signal at each spot as the ratio of experimental RNA to reference RNA targets, rather than relying on absolute signal intensity, decreases variability by normalizing signal output in any two-color hybridization experiment. RESULTS: Human, mouse and rat URR (UHRR, UMRR and URRR, respectively) were prepared from pools of RNA derived from individual cell lines representing different tissues. A variety of microarrays were used to determine percentage of spots hybridizing with URR and producing signal above a user defined threshold (microarray coverage). Microarray coverage was consistently greater than 80% for all arrays tested. We confirmed that individual cell lines contribute their own unique set of genes to URR, arguing for a pool of RNA from several cell lines as a better configuration for URR as opposed to a single cell line source for URR. Microarray coverage comparing two separately prepared batches each of UHRR, UMRR and URRR were highly correlated (Pearson's correlation coefficients of 0.97). CONCLUSION: Results of this study demonstrate that large quantities of pooled RNA from individual cell lines are reproducibly prepared and possess diverse gene representation. This type of reference provides a standard for reducing variation in microarray experiments and allows more reliable comparison of gene expression data within and between experiments and laboratories. BioMed Central 2004-03-09 /pmc/articles/PMC394318/ /pubmed/15113400 http://dx.doi.org/10.1186/1471-2164-5-20 Text en Copyright © 2004 Novoradovskaya et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Methodology Article
Novoradovskaya, Natalia
Whitfield, Michael L
Basehore, Lee S
Novoradovsky, Alexey
Pesich, Robert
Usary, Jerry
Karaca, Mehmet
Wong, Winston K
Aprelikova, Olga
Fero, Michael
Perou, Charles M
Botstein, David
Braman, Jeff
Universal Reference RNA as a standard for microarray experiments
title Universal Reference RNA as a standard for microarray experiments
title_full Universal Reference RNA as a standard for microarray experiments
title_fullStr Universal Reference RNA as a standard for microarray experiments
title_full_unstemmed Universal Reference RNA as a standard for microarray experiments
title_short Universal Reference RNA as a standard for microarray experiments
title_sort universal reference rna as a standard for microarray experiments
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC394318/
https://www.ncbi.nlm.nih.gov/pubmed/15113400
http://dx.doi.org/10.1186/1471-2164-5-20
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