Abstract A12: Identification of microRNA-based therapeutic candidates using a unique lentiviral microRNA overexpression library

Abstract

microRNA (miRNA) genes transcribed by RNA polymerase II generate small noncoding miRNAs of 18 to 24 nucleotides after maturation process. The mature miRNAs and their associated isomirs specifically bind to different mRNA transcripts, resulting in down regulation of multiple genes within the cell in a highly multiplexed way. miRNA expression profiles differ between human cell types suggesting cell-specific impacts of each miRNA on the regulation of different biological processes. Comparison of miRNA profiles of tumor samples and adjacent normal tissues showed that some miRNAs are up- or down- regulated and suggested their implication during tumor progression. However, such a miRNA profiling approach is not sufficient to identify the respective role of each miRNA gene during the tumorigenesis. Here, to assess the individual role of each miRNA gene and its different isomirs in a specific cell environment, we have constructed a lentiviral miRNA expression library containing more than 1100 human known and novel miRNA precursors. The arrayed layout of our library allowed high-throughput screens with a large spectrum of functional read-outs using either normal or tumor cells. To exemplify this approach, the results of three different screens will be presented; i.e. identification of miRNAs that inhibit the BRAF pathway, miRNAs that inhibit tumor angiogenesis and miRNAs that stimulate the mesenchymal to epithelial transition. In addition, beyond this hit identification step, we will present detailed characterization of the role of the identified miRNAs in tumor progression by means of molecular and cellular functional assays. Combining our unique miRNA expression library with a functional screening platform has allowed the identification and the further characterization of several miRNAs able to significantly impact on tumor behavior supporting the therapeutic interest of some candidates. Citation Format: Paula I. van Noort, Negar Babae, Gerald W. Verhaegh, Willemijn M. Gommans, Francesco Cerisoli, Mark Verheul, Raymond M. Schiffelers, Arjan W. Griffioen, Jack A. Schalken, Eugene Berezikov, Edwin Cuppen, Roel Q. J. Schaapveld, Jos B. Poell, Gregoire P. Prevost, Meriem Bourajjaj, Suzanna Vidic, Judy R. van Beijnum, Rick J. van Haastert, Iman Schultz, Thijs de Gunt, Onno van Hooij. Identification of microRNA-based therapeutic candidates using a unique lentiviral microRNA overexpression library [abstract]. In: Proceedings of the AACR Special Conference on Noncoding RNAs and Cancer; 2012 Jan 8-11; Miami Beach, FL. Philadelphia (PA): AACR; Cancer Res 2012;72(2 Suppl):Abstract nr A12.