Zuber Group

Johannes Zuber (Group Leader)

(Email)

Finding and probing cancer drug targets using advanced in-vivo RNAi

The genetic complexity and heterogeneity of human cancers pose a daunting challenge for the development of effective targeted therapies. The advent of RNA interference (RNAi) has provided a new tool to reveal cancer-specific vulnerabilities in a systematic and unbiased way. Our lab uses an integrative approach combining genetically engineered cancer models and advanced in-vivo RNAi technologies to discover and evaluate new therapeutic targets in acute myeloid leukemia and other cancers.

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Selected Publications

  • Fellmann, C., Zuber, J., McJunkin, K., Chang, K., Malone, CD., Dickins, RA., Xu, Q., Hengartner, MO., Elledge, SJ., Hannon, GJ., Lowe, SW. (2011). Functional identification of optimized RNAi triggers using a massively parallel sensor assay. Mol Cell. 41(6):733-46 (abstract)
  • Zuber, J., McJunkin, K., Fellmann, C., Dow, LE., Taylor, MJ., Hannon, GJ., Lowe, SW. (2011). Toolkit for evaluating genes required for proliferation and survival using tetracycline-regulated RNAi. Nat Biotechnol. 29(1):79-83 (abstract)
  • Zuber, J., Rappaport, AR., Luo, W., Wang, E., Chen, C., Vaseva, AV., Shi, J., Weissmueller, S., Fellmann, C., Fellman, C., Taylor, MJ., Weissenboeck, M., Graeber, TG., Kogan, SC., Vakoc, CR., Lowe, SW. (2011). An integrated approach to dissecting oncogene addiction implicates a Myb-coordinated self-renewal program as essential for leukemia maintenance. Genes Dev. 25(15):1628-40 (abstract)
  • Zuber, J., Shi, J., Wang, E., Rappaport, AR., Herrmann, H., Sison, EA., Magoon, D., Qi, J., Blatt, K., Wunderlich, M., Taylor, MJ., Johns, C., Chicas, A., Mulloy, JC., Kogan, SC., Brown, P., Valent, P., Bradner, JE., Lowe, SW., Vakoc, CR. (2011). RNAi screen identifies Brd4 as a therapeutic target in acute myeloid leukaemia. Nature. 478(7370):524-8 (abstract)
  • Zuber, J., Radtke, I., Pardee, TS., Zhao, Z., Rappaport, AR., Luo, W., McCurrach, ME., Yang, MM., Dolan, ME., Kogan, SC., Downing, JR., Lowe, SW. (2009). Mouse models of human AML accurately predict chemotherapy response. Genes Dev. 23(7):877-89 (abstract)