A novel conserved protein associates with the IFT-A complex to mediate nuclear translocation of β-catenin in Wg/Wnt-signaling
Vuong, L. T.; Mlodzik, M.
Show abstract
Wingless (Wg)/Wnt signaling is critical throughout development and tissue homeostasis and associated with many disease states. Canonical Wg/Wnt-signaling is mediated by {beta}-catenin (Arm in Drosophila) with IFT-A/Kinesin-2 complex promoting nuclear translocation of {beta}-catenin/Arm upon pathway activation. Although IFT-A is essential for nuclear translocation of {beta}-catenin/Arm, existing data suggests additional proteins are involved in this process. Here, we have identified a novel, evolutionarily conserved protein, Pasovec (Psv), as a critical component required for nuclear {beta}-catenin/Arm localization. We demonstrate that Psv functionally interacts with the IFT-A/Kinesin2 complex and physically associates with IFT140, a core component of IFT-A. The Psv-IFT140 interaction is independent of Wg/Wnt-signaling activation. Importantly, Psv contains a nuclear localization sequence (NLS), which is critical for its own nuclear localization and that of {beta}-catenin/Arm upon Wg/Wnt-signaling activation. Psv with a mutated NLS can act as an inhibitor of Wg/Wnt-signaling. Altogether, this study describes a new factor required for Wg/Wnt-signaling, with its mutant phenotypes resembling wg and {beta}-catenin/arm mutants, that functions during the nuclear translocation process of {beta}-catenin/Arm.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Feedback control of Wnt signaling based on histidine cluster co-aggregation between Naked/NKD and Axin 96%
- Dynamic modes of Notch transcription hubs conferring memory and stochastic activation revealed by live imaging the co-activator Mastermind 95%
- Competition between kinesin-1 and myosin-V define Drosophila posterior determination 95%
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.