Cancer Cell InternationalMolecular BiologyPeer-reviewed journal article
Identifying novel interactions of the colon-cancer related APC protein with Wnt-pathway nuclear transcription factors
Nayra M. Al‐ThaniiD, Stephanie Schaefer‐RamadaniD, Jovana AleksiciD, Yasmin Ali MohamoudiD, Joel A. MalekiD
Abstract
BackgroundColon cancer is often driven by mutations of the adenomatous polyposis coli (APC) gene, an essential tumor suppressor gene of the Wnt {beta}-catenin signaling pathway. APC and its interactions in the cytoplasm have been well studied, however various groups have also observed its presence in the nucleus. Identifying novel interactions of APC in the Wnt pathway will provide an opportunity to better understand the nuclear role of APC and ultimately identify potential cancer treatment targets. MethodsWe used the all-vs-all sequencing (AVA-Seq) method to interrogate the interactome of protein fragments spanning most of the 60 Wnt {beta}-catenin pathway proteins. Using protein fragments identified the interacting regions between the proteins with more resolution than a full-length protein approach. Pull-down assays were used to validate a subset of these interactions. Results74 known and 703 novel Wnt {beta}-catenin pathway protein-protein interactions were recovered in this study. There were 8 known and 31 novel APC protein-protein interactions. Novel interactions of APC and nuclear transcription factors TCF7, JUN, FOSL1, and SOX17 were particularly interesting and confirmed in validation assays. ConclusionBased on our findings of novel interactions between APC and transcription factors and previous evidence of APC localizing to the nucleus, we suggest APC may compete and repress CTNNB1. This would occur through the binding of the transcription factors (JUN, FOSL1, TCF7) to regulate the Wnt signaling pathway including through enhanced marking of CTNNB1 for degradation in the nucleus by APC binding with SOX17. Additional novel Wnt {beta}-catenin pathway protein-protein interactions from this study could lead researchers to novel drug designs for cancer.
- assay: protein sequence
- research focus: protein design
- research focus: cell-cell communication
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: experimental assay
- Citations
- 4
- FWCI
- 0.24
- Field percentile
- 43th percentile
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