» Articles » PMID: 15113400

Universal Reference RNA As a Standard for Microarray Experiments

Overview
Journal BMC Genomics
Publisher Biomed Central
Specialty Genetics
Date 2004 Apr 29
PMID 15113400
Citations 71
Authors
Affiliations
Soon will be listed here.
Abstract

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.

Citing Articles

Sources of non-uniform coverage in short-read RNA-Seq data.

Brooks T, Lahens N, Mrcela A, Yang J, Purohit S, Naik A bioRxiv. 2025; .

PMID: 39975309 PMC: 11838458. DOI: 10.1101/2025.01.30.634337.


Computational Strategies for Assessing Adverse Outcome Pathways: Hepatic Steatosis as a Case Study.

Ortega-Vallbona R, Palomino-Schatzlein M, Tolosa L, Benfenati E, Ecker G, Gozalbes R Int J Mol Sci. 2024; 25(20).

PMID: 39456937 PMC: 11508863. DOI: 10.3390/ijms252011154.


Depot-specific mRNA expression programs in human adipocytes suggest physiological specialization via distinct developmental programs.

Clemons H, Hogan D, Brown P PLoS One. 2024; 19(10):e0311751.

PMID: 39401200 PMC: 11472956. DOI: 10.1371/journal.pone.0311751.


Characterization and implementation of the MarathonRT template-switching reaction to expand the capabilities of RNA-seq.

Guo L, Grinko A, Olson S, Leipold A, Graveley B, Saliba A RNA. 2024; 30(11):1495-1512.

PMID: 39174298 PMC: 11482623. DOI: 10.1261/rna.080032.124.


Targeted DNA-seq and RNA-seq of Reference Samples with Short-read and Long-read Sequencing.

Gong B, Li D, Labaj P, Pan B, Novoradovskaya N, Thierry-Mieg D Sci Data. 2024; 11(1):892.

PMID: 39152166 PMC: 11329654. DOI: 10.1038/s41597-024-03741-y.


References
1.
Eisen M, Brown P . DNA arrays for analysis of gene expression. Methods Enzymol. 1999; 303:179-205. DOI: 10.1016/s0076-6879(99)03014-1. View

2.
Dudley A, Aach J, Steffen M, Church G . Measuring absolute expression with microarrays with a calibrated reference sample and an extended signal intensity range. Proc Natl Acad Sci U S A. 2002; 99(11):7554-9. PMC: 124281. DOI: 10.1073/pnas.112683499. View

3.
Perou C, Sorlie T, Eisen M, van de Rijn M, Jeffrey S, Rees C . Molecular portraits of human breast tumours. Nature. 2000; 406(6797):747-52. DOI: 10.1038/35021093. View

4.
Brown P, Botstein D . Exploring the new world of the genome with DNA microarrays. Nat Genet. 1999; 21(1 Suppl):33-7. DOI: 10.1038/4462. View

5.
Churchill G . Fundamentals of experimental design for cDNA microarrays. Nat Genet. 2002; 32 Suppl:490-5. DOI: 10.1038/ng1031. View