Correcting for gene-specific dye bias in DNA microarrays using the method of maximum likelihood

被引:9
作者
Kelley, Ryan [1 ]
Feizi, Hoda [2 ]
Ideker, Trey [2 ]
机构
[1] Univ Calif San Diego, Program Bioinformat, La Jolla, CA 92093 USA
[2] Univ Calif San Diego, Dept Bioengn, La Jolla, CA 92093 USA
关键词
D O I
10.1093/bioinformatics/btm347
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Motivation: In two-color microarray experiments, well-known differences exist in the labeling and hybridization efficiency of Cy3 and Cy5 dyes. Previous reports have revealed that these differences can vary on a gene-by-gene basis, an effect termed gene-specific dye bias. If uncorrected, this bias can influence the determination of differentially expressed genes. Results: We show that the magnitude of the bias scales multiplicatively with signal intensity and is dependent on which nucleotide has been conjugated to the fluorescent dye. A method is proposed to account for gene-specific dye bias within a maximum-likelihood error modeling framework. Using two different labeling schemes, we show that correcting for gene-specific dye bias results in the superior identification of differentially expressed genes within this framework. Improvement is also possible in related ANOVA approaches. Supplementary information: Supplementary data are available at Bioinformatics online.
引用
收藏
页码:71 / 77
页数:7
相关论文
共 19 条
[1]   A comparison of normalization methods for high density oligonucleotide array data based on variance and bias [J].
Bolstad, BM ;
Irizarry, RA ;
Åstrand, M ;
Speed, TP .
BIOINFORMATICS, 2003, 19 (02) :185-193
[2]   Improved statistical tests for differential gene expression by shrinking variance components estimates [J].
Cui, XG ;
Hwang, JTG ;
Qiu, J ;
Blades, NJ ;
Churchill, GA .
BIOSTATISTICS, 2005, 6 (01) :59-75
[3]   VarMixt: efficient variance modelling for the differential analysis of replicated gene expression data [J].
Delmar, P ;
Robin, S ;
Daudin, JJ .
BIOINFORMATICS, 2005, 21 (04) :502-508
[4]   Characterizing dye bias in microarray experiments [J].
Dobbin, KK ;
Kawasaki, ES ;
Petersen, DW ;
Simon, RM .
BIOINFORMATICS, 2005, 21 (10) :2430-2437
[5]   Gene-specific dye bias in microarray reference designs [J].
Dombkowski, AA ;
Thibodeau, BJ ;
Starcevic, SL ;
Novak, RF .
FEBS LETTERS, 2004, 560 (1-3) :120-124
[6]   Absolute mRNA concentrations from sequence-specific calibration of oligonucleotide arrays [J].
Hekstra, D ;
Taussig, AR ;
Magnasco, M ;
Naef, F .
NUCLEIC ACIDS RESEARCH, 2003, 31 (07) :1962-1968
[7]  
Huber Wolfgang, 2002, Bioinformatics, V18 Suppl 1, pS96
[8]   Testing for differentially-expressed genes by maximum-likelihood analysis of microarray data [J].
Ideker, T ;
Thorsson, V ;
Siegel, AF ;
Hood, LE .
JOURNAL OF COMPUTATIONAL BIOLOGY, 2000, 7 (06) :805-817
[9]   Multiple-laboratory comparison of microarray platforms [J].
Irizarry, RA ;
Warren, D ;
Spencer, F ;
Kim, IF ;
Biswal, S ;
Frank, BC ;
Gabrielson, E ;
Garcia, JGN ;
Geoghegan, J ;
Germino, G ;
Griffin, C ;
Hilmer, SC ;
Hoffman, E ;
Jedlicka, AE ;
Kawasaki, E ;
Martínez-Murillo, F ;
Morsberger, L ;
Lee, H ;
Petersen, D ;
Quackenbush, J ;
Scott, A ;
Wilson, M ;
Yang, YQ ;
Ye, SQ ;
Yu, W .
NATURE METHODS, 2005, 2 (05) :345-349
[10]   Evaluation of the gene-specific dye bias in cDNA microarray experiments [J].
Martin-Magniette, ML ;
Aubert, J ;
Cabannes, E ;
Daudin, JJ .
BIOINFORMATICS, 2005, 21 (09) :1995-2000