| Experiment ID | EXP00130 |
| Reference | Title: Evidence for the complexity of microRNA-mediated regulation in ovarian cancer: a systems approach. Author: Shahab SW, Matyunina LV, Mezencev R, Walker LD, Bowen NJ, Benigno BB, McDonaldJF. Journal: PLoS One. 2011;6(7):e22508. doi: 10.1371/journal.pone.0022508. Epub 2011 Jul 21. Abstract: MicroRNAs (miRNAs) are short (∼22 nucleotides) regulatory RNAs that can modulate gene expression and are aberrantly expressed in many diseases including cancer.Previous studies have shown that miRNAs inhibit the translation and facilitatethe degradation of their targeted messenger RNAs (mRNAs) making them attractivecandidates for use in cancer therapy. However, the potential clinical utility of miRNAs in cancer therapy rests heavily upon our ability to understand andaccurately predict the consequences of fluctuations in levels of miRNAs withinthe context of complex tumor cells. To evaluate the predictive power of currentmodels, levels of miRNAs and their targeted mRNAs were measured in laser capturedmicro-dissected (LCM) ovarian cancer epithelial cells (CEPI) and compared withlevels present in ovarian surface epithelial cells (OSE). We found that thepredicted inverse correlation between changes in levels of miRNAs and levels oftheir mRNA targets held for only ∼11% of predicted target mRNAs. We demonstratethat this low inverse correlation between changes in levels of miRNAs and theirtarget mRNAs in vivo is not merely an artifact of inaccurate miRNA targetpredictions but the likely consequence of indirect cellular processes thatmodulate the regulatory effects of miRNAs in vivo. Our findings underscore thecomplexities of miRNA-mediated regulation in vivo and the necessity ofunderstanding the basis of these complexities in cancer cells before thetherapeutic potential of miRNAs can be fully realized. PMID: 21811625 |
| Expressiion Profile | Description: miRNAs in ovarian cancer: A systems approach (miRNA data) Organism: Homo sapiens GEO ID: GSE23383 Platform: GPL9735 Number of samples: 6 |
| Design and Sample | Cancer Type: ovarian cancer Cancer SubType: N/D Cell Line: N/D Experimental Design: cancer vs normal Case Sample: ovarian cancer epithelial sample Control Sample: normal ovarian epithelia sample Num of Case: 3 Num of Control: 3 Quantification Software: Limma Num of miRNAs: 458 |
| Identification | Num of Up: 8 Num of Down: 2 |