Comparison of normalization methods with microRNA microarray.
MicroRNAs (miRNAs) are a group of RNAs that play important roles in regulating gene expression and protein translation. In a previous study, we established an oligonucleotide microarray platform to detect miRNA expression. Because it contained only hundreds of probes, data normalization was difficult. In this study, the microarray data for eight miRNAs extracted from inflamed rat dorsal root ganglion (DRG) tissue were normalized using 15 methods and compared with the results of real-time polymerase chain reaction. It was found that the miRNA microarray data normalized by the print-tip loess method were the most consistent with results from real-time polymerase chain reaction. Moreover, the same pattern was also observed in 14 different types of rat tissue. This study compares a variety of normalization methods and will be helpful in the preprocessing of miRNA microarray data.
Bioinformatics Center, The Center of Functional Genomics, Key Lab of System Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, People's Republic of China.
You-Jia
YJ
Hua
Kang
K
Tu
Zhong-Yi
ZY
Tang
Yi-Xue
YX
Li
Hua-Sheng
HS
Xiao
D000818:Animals; D016000:Cluster Analysis; D003627:Data Interpretation, Statistical; D005727:Ganglia, Spinal / Q000737:chemistry / Q000378:metabolism; D008297:Male; D035683:MicroRNAs / Q000032:analysis*; D020411:Oligonucleotide Array Sequence Analysis / Q000592:standards*; D011843:Radiculopathy / Q000235:genetics; D051381:Rats; D017207:Rats, Sprague-Dawley; D020133:Reverse Transcriptase Polymerase Chain Reaction
D035683:MicroRNAs