Williams, Brian A. and Gwirtz, Richelle M. and Wold, Barbara J. (2004) Genomic DNA as a cohybridization standard for mammalian microarray measurements. Nucleic Acids Research, 32 (10). e81. ISSN 0305-1048. http://resolver.caltech.edu/CaltechAUTHORS:WILnar04
See Usage Policy.
Use this Persistent URL to link to this item: http://resolver.caltech.edu/CaltechAUTHORS:WILnar04
A persistent design problem for ratiometric microarray studies is selecting the ‘denominator’ RNA cohybridization standard. The ideal standard should be readily available, inexpensive, invariant over time and from laboratory to laboratory, and should represent all genes with a uniform signal. RNA references (both commercial ‘universal’ and experiment-specific types), fall short of these goals. We show here that mouse genomic DNA is a reliable microarray cohybridization standard which can meet these criteria. Genomic DNA was superior in universality of coverage (>98% of genes from a 16 000 feature mouse 70mer microarray) to the Stratagene Universal Mouse Reference RNA standard. Ratios for genes in very low abundance in the Stratagene standard were more unstable with the Stratagene standard than with genomic DNA. Genes with mid-range, and therefore presumably optimal RNA denominator values, showed comparable reproducibility with both standards. Inferred ratios made between two different experimental RNAs using a genomic DNA standard were found to correlate well with companion, directly measured ratios (Spearman correlation coefficient = 0.98). The advantage in array feature coverage of genomic DNA will likely increase as newer generation microarrays include genes which are expressed exclusively in minor tissue or developmental domains that are not represented in mixed tissue RNA standards.
|Additional Information:||Copyright © 2004 Oxford Journals Received March 7, 2004; Revised and Accepted May 4, 2004; Published online June 9, 2004 We would like to thank Joe DeRisi for advice on microarrayer software, Professors Jim Brody and Steve Quake for arrayer assembly, Professor Eric Mjolsness for advice on ROC analysis, and Professor Emmanuel Candes for consultation on the Spearman correlation coefficient. We gratefully acknowledge the generous gift of Arabidopsis microarrays and mature Arabidopsis plants from Dr Frank Wellmer of the Meyerowitz Laboratory. Funding was provided by the L. K. Whittier Foundation and an NCI Director's Challenge Grant (U01 CA88199). B.A.W. was supported by an NIH/NRSA postdoctoral fellowship.|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Archive Administrator|
|Deposited On:||30 Sep 2005|
|Last Modified:||26 Dec 2012 08:41|
Repository Staff Only: item control page