title: Co-expression Pattern Analysis of miR-17-92 Target Genes in Chronic Myelogenous Leukemia.
abstract: MicroRNAs (miRNAs) are post-transcriptional regulators that regulate gene expression by binding to the 3' untranslated region of target mRNAs. Mature miRNAs transcribed from the miR-17-92 cluster have an oncogenic activity, which are overexpressed in chronic-phase chronic myelogenous leukemia (CML) patients compared with normal individuals. Besides, the tyrosine kinase activity of BCR-ABL oncoprotein from the Philadelphia chromosome in CML can affect this miRNA cluster. Genes with similar mRNA expression profiles are likely to be regulated by the same regulators. We hypothesize that target genes regulated by the same miRNA are co-expressed. In this study, we aim to explore the difference in the co-expression patterns of those genes potentially regulated by miR-17-92 cluster between the normal and the CML groups. We applied a statistical method for gene pair classification by identifying a disease-specific cutoff point that classified the co-expressed gene pairs into strong and weak co-expression classes. The method effectively identified the differences in the co-expression patterns from the overall structure. Functional annotation for co-expressed gene pairs showed that genes involved in the metabolism processes were more likely to be co-expressed in the normal group compared to the CML group. Our method can identify the co-expression pattern difference from the overall structure between two different distributions using the distribution-based statistical method. Functional annotation further provides the biological support. The co-expression pattern in the normal group is regarded as the inter-gene linkages, which represents the healthy pathological balance. Dysregulation of metabolism may be related to CML pathology. Our findings will provide useful information for investigating the novel CML mechanism and treatment.
authors.affiliation: Department of Health Technology and Informatics, Hong Kong Polytechnic University Hong Kong, China.
authors.forename: Fengfeng
authors.initials: F
authors.lastname: Wang
authors.affiliation: Department of Health Technology and Informatics, Hong Kong Polytechnic University Hong Kong, China.
authors.forename: Fei
authors.initials: F
authors.lastname: Meng
authors.affiliation: Department of Health Technology and Informatics, Hong Kong Polytechnic University Hong Kong, China.
authors.forename: Lili
authors.initials: L
authors.lastname: Wang
keywords: chronic myelogenous leukemia; co-expression; disease-specific cutoff point; metabolism; microRNA