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Analysis of the NCI-60 dataset for cancer-related microRNA and mRNA using expression profiles.

Authors :
Weng CW
Lee SC
Lee YL
Ng KL
Source :
Computational biology and chemistry [Comput Biol Chem] 2013 Jun; Vol. 44, pp. 15-21. Date of Electronic Publication: 2013 Feb 19.
Publication Year :
2013

Abstract

Background: Recent studies have indicated that microRNA (miRNA) may play an oncogenic or tumor suppressor role in human cancer. To study the regulatory role of miRNAs in tumorigenesis, an integrated platform has been set up to provide a user friendly interface for query. The main advantage of the present platform is that all the miRNA target genes' information and disease records are drawn from experimentally verified or high confidence records.<br />Results: MiRNA target gene results are annotated with reference to the disease gene as well as the pathway database. The correlation strength between miRNA and target gene expression profile is quantified by computing the correlation coefficient using the NCI-60 expression profiling data. Comprehensive analysis of the NCI-60 data found that the cumulative percentage of negative correlation coefficients for cleavage regulation is slightly higher than its positive counterpart; which indicated that the mRNA degradation mechanism is slightly dominant. In addition, the RNAHybrid and TargetScans scores are computed which potentially served as quantitative estimators for miRNA-mRNA binding events. Three scores are defined for each miRNA-mRNA pair, which are based on the disease gene and pathway information. These three scores allow user to sort out high confidence cancer-related miRNA-mRNA pairs. Statistical tests were applied to investigate the relations of three chromosomal features, i.e., CpG island, fragile site, and miRNA cluster, with cancer-related miRNAs. A web-based interface has been set up for query, which can be accessed at: http://ppi.bioinfo.asia.edu.tw/mirna_target/<br />Conclusions: The main advantage of the present platform on miRNA-mRNA targeting information is that all the target genes' information and disease records are experimentally verified. Although this may limit the number of miRNA-mRNA relationships, the results provided here are more solid and have fewer false positive events. Certain novel cancer-related miRNA-mRNA pairs are identified and confirmed in the literature. Fisher's exact test suggests that CpG island and fragile site associated miRNAs tend to associate with cancer formation. In summary, the present platform provides an easy means of investigating cancer-related miRNAs.<br /> (Copyright © 2013 Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1476-928X
Volume :
44
Database :
MEDLINE
Journal :
Computational biology and chemistry
Publication Type :
Academic Journal
Accession number :
23499870
Full Text :
https://doi.org/10.1016/j.compbiolchem.2013.02.001