4.4 Article

Oncogenic Mutations in the DNA-Binding Domain of FOXO1 that Disrupt Folding: Quantitative Insights from Experiments and Molecular Simulations

Journal

BIOCHEMISTRY
Volume -, Issue -, Pages -

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.biochem.2c00224

Keywords

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Funding

  1. National Institute of General Medical Sciences [1R01GM114358]
  2. National Institutes of Health
  3. NIH [CNS-1625061, S10-OD020095]
  4. NSF [LaboratoryW911NF-16-2-0189]
  5. US Army Research

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Specific mutations in the forkhead domain of FOXO1 are found to be associated with loss of function in diffuse large B-cell lymphoma. Experimental and computational studies reveal that these mutations disrupt the stability of the FOX domain, and simulations with atomic detail are important for accurate prediction of mutational effects on folding stability.
FOXO1, a member of the family of winged-helix motif Forkhead box (FOX) transcription factors, is the most abundantly expressed FOXO member in mature B cells. Sequencing of diffuse large B-cell lymphoma (DLBCL) tumors and cell lines identified specific mutations in the forkhead domain linked to loss of function. Differential scanning calorimetry and thermal shift assays were used to characterize how eight of these mutations affect the stability of the FOX domain. Mutations L183P and L183R were found to be particularly destabilizing. Electrophoresis mobility shift assays show these same mutations also disrupt FOXO1 binding to their canonical DNA sequences, suggesting that the loss of function is due to destabilization of the folded structure. Computational modeling of the effect of mutations on FOXO1 folding was performed using alchemical free energy perturbation (FEP), and a Markov model of the entire folding reaction was constructed from massively parallel molecular simulations, which predicts folding pathways involving the late folding of helix alpha 3. Although FEP can qualitatively predict the destabilization from L183 mutations, we find that a simple hydrophobic transfer model, combined with estimates of unfolded-state solvent-accessible surface areas from molecular simulations, is able to more accurately predict changes in folding free energies due to mutations. These results suggest that the atomic detail provided by simulations is important for the accurate prediction of mutational effects on folding stability. Corresponding disease associated mutations in other FOX family members support further experimental and computational studies of the folding mechanism of FOX domains.

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