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Logo of bmcmedgenoBioMed Centralsearchsubmit a manuscriptregisterthis articleBMC Medical Genomics
 
BMC Med Genomics. 2012; 5: 33.
Published online 2012 August 1. doi:  10.1186/1755-8794-5-33
PMCID: PMC3481362
The effects of MicroRNA transfections on global patterns of gene expression in ovarian cancer cells are functionally coordinated
Shubin W Shahab,1,2 Lilya V Matyunina,1,2,3 Christopher G Hill,1,2 Lijuan Wang,1,2 Roman Mezencev,1,2 L DeEtte Walker,1,2,3 and John F McDonaldcorresponding author1,2,3
1School of Biology, Georgia Institute of Technology, Atlanta, GA, 30332, USA
2Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA, 30332, USA
3Ovarian Cancer Institute, Atlanta, GA, 30342, USA
corresponding authorCorresponding author.
Shubin W Shahab: shubin.shahab/at/gmail.com; Lilya V Matyunina: lilya.matyunina/at/biology.gatech.edu; Christopher G Hill: chill6/at/gatech.edu; Lijuan Wang: lijuan.wang/at/biology.gatech.edu; Roman Mezencev: rmezencev3/at/gatech.edu; L DeEtte Walker: lila.walker/at/biology.gatech.edu; John F McDonald: john.mcdonald/at/biology.gatech.edu
Received February 20, 2012; Accepted July 23, 2012.
Abstract
Background
MicroRNAs (miRNAs) are a class of small RNAs that have been linked to a number of diseases including cancer. The potential application of miRNAs in the diagnostics and therapeutics of ovarian and other cancers is an area of intense interest. A current challenge is the inability to accurately predict the functional consequences of exogenous modulations in the levels of potentially therapeutic miRNAs.
Methods
In an initial effort to systematically address this issue, we conducted miRNA transfection experiments using two miRNAs (miR-7, miR-128). We monitored the consequent changes in global patterns of gene expression by microarray and quantitative (real-time) polymerase chain reaction. Network analysis of the expression data was used to predict the consequence of each transfection on cellular function and these predictions were experimentally tested.
Results
While ~20% of the changes in expression patterns of hundreds to thousands of genes could be attributed to direct miRNA-mRNA interactions, the majority of the changes are indirect, involving the downstream consequences of miRNA-mediated changes in regulatory gene expression. The changes in gene expression induced by individual miRNAs are functionally coordinated but distinct between the two miRNAs. MiR-7 transfection into ovarian cancer cells induces changes in cell adhesion and other developmental networks previously associated with epithelial-mesenchymal transitions (EMT) and other processes linked with metastasis. In contrast, miR-128 transfection induces changes in cell cycle control and other processes commonly linked with cellular replication.
Conclusions
The functionally coordinated patterns of gene expression displayed by different families of miRNAs have the potential to provide clinicians with a strategy to treat cancers from a systems rather than a single gene perspective.
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