Abstract 3172: Pooled RNAi screens in xenograft mouse models.
Cancer Research(2013)
Abstract
Abstract We present results of clonal analysis studies aimed at characterizing the heterogeneity of in vivo cancer cell growth in xenograft models. Using a high-throughput sequencing method, we followed the fate of thousands of individually bar-coded cancer cells grown in vitro, or in vivo upon sub-cutaneous implantation in immunocompromised mice. By precisely and reproducibly quantifying clonal cancer cell growth in vivo, we found that xenograft growth is marked by a phenomenon of clonal dominance, in which a small subset of cancer cell sub-clones account for the bulk of the resulting tumor mass. This phenomenon has important implications for the field of in vivo shRNA screening. Subsequently, we developed a new proprietary clonal RNAi screening platform specifically designed to circumscribe the clonal dominance effect in xenograft model viability screens. We used this technology to perform xenograft “drop-out” screens in a panel of tumorigenic cell lines, including human breast, ovarian and colon carcinomas. Preliminary data will be presented. These results demonstrate that complex pooled shRNA libraries provide a highly efficient, flexible, and unique tool for in vivo screens aimed the discovery of potential cancer therapy targets. Citation Format: Donato Tedesco, Kyle Bonneau, Mikhail Makhanov, Debbie Deng, Paul Diehl, Peiqing Sun, Alex Chenchik. Pooled RNAi screens in xenograft mouse models. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 3172. doi:10.1158/1538-7445.AM2013-3172
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Key words
RNA interference,Computational biology,Biology,Bioinformatics
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