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Application of an integrated physical and functional screening approach to identify inhibitors of the Wnt pathway
Authors:Bryan W Miller  Garnet Lau  Chris Grouios  Emanuela Mollica  Miriam Barrios‐Rodiles  Yongmei Liu  Alessandro Datti  Quaid Morris  Jeffrey L Wrana  Liliana Attisano
Institution:1. Department of Biochemistry, University of Toronto, Toronto, Ontario, Canada;2. Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario, Canada;3. Banting and Best Department of Medical Research, University of Toronto, Toronto, Ontario, Canada;4. Centre for Systems Biology, Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada;5. Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada;6. Department of Computer Science, University of Toronto, Toronto, Ontario, Canada;7. Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
Abstract:Large‐scale proteomic approaches have been used to study signaling pathways. However, identification of biologically relevant hits from a single screen remains challenging due to limitations inherent in each individual approach. To overcome these limitations, we implemented an integrated, multi‐dimensional approach and used it to identify Wnt pathway modulators. The LUMIER protein–protein interaction mapping method was used in conjunction with two functional screens that examined the effect of overexpression and siRNA‐mediated gene knockdown on Wnt signaling. Meta‐analysis of the three data sets yielded a combined pathway score (CPS) for each tested component, a value reflecting the likelihood that an individual protein is a Wnt pathway regulator. We characterized the role of two proteins with high CPSs, Ube2m and Nkd1. We show that Ube2m interacts with and modulates β‐catenin stability, and that the antagonistic effect of Nkd1 on Wnt signaling requires interaction with Axin, itself a negative pathway regulator. Thus, integrated physical and functional mapping in mammalian cells can identify signaling components with high confidence and provides unanticipated insights into pathway regulators.
Keywords:cancer biology  signal transduction  systems biology
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