TRAP1 Regulates Wnt/β-Catenin Pathway through LRP5/6 Receptors Expression Modulation.
Giacomo LettiniValentina CondelliMichele PietrafesaFabiana CrispoPietro ZoppoliFrancesca MaddalenaIlaria LaurenzanaAlessandro SgambatoFranca EspositoMatteo LandriscinaPublished in: International journal of molecular sciences (2020)
Wnt/β-Catenin signaling is involved in embryonic development, regeneration, and cellular differentiation and is responsible for cancer stemness maintenance. The HSP90 molecular chaperone TRAP1 is upregulated in 60-70% of human colorectal carcinomas (CRCs) and favors stem cells maintenance, modulating the Wnt/β-Catenin pathway and preventing β-Catenin phosphorylation/degradation. The role of TRAP1 in the regulation of Wnt/β-Catenin signaling was further investigated in human CRC cell lines, patient-derived spheroids, and CRC specimens. TRAP1 relevance in the activation of Wnt/β-Catenin signaling was highlighted by a TCF/LEF Cignal Reporter Assay in Wnt-off HEK293T and CRC HCT116 cell lines. Of note, this regulation occurs through the modulation of Wnt ligand receptors LRP5 and LRP6 that are both downregulated in TRAP1-silenced cell lines. However, while LRP5 mRNA is significantly downregulated upon TRAP1 silencing, LRP6 mRNA is unchanged, suggesting independent mechanisms of regulation by TRAP1. Indeed, LRP5 is regulated upon promoter methylation in CRC cell lines and human CRCs, whereas LRP6 is controlled at post-translational level by protein ubiquitination/degradation. Consistently, human CRCs with high TRAP1 expression are characterized by the co-upregulation of active β-Catenin, LRP5 and LRP6. Altogether, these data suggest that Wnt/β-Catenin signaling is modulated at multiple levels by TRAP1.
Keyphrases
- stem cells
- cell proliferation
- endothelial cells
- poor prognosis
- low density lipoprotein
- induced pluripotent stem cells
- epithelial mesenchymal transition
- pluripotent stem cells
- gene expression
- binding protein
- dna methylation
- heat shock protein
- high grade
- big data
- genome wide
- machine learning
- mesenchymal stem cells
- cell death
- young adults
- high resolution
- deep learning
- atomic force microscopy
- protein kinase
- amino acid