Your browser doesn't support javascript.
loading
Oncogenic Mutations in the DNA-Binding Domain of FOXO1 that Disrupt Folding: Quantitative Insights from Experiments and Molecular Simulations.
Novack, Dylan; Qian, Lei; Acker, Gwyneth; Voelz, Vincent A; Baxter, Richard H G.
Afiliação
  • Novack D; Department of Chemistry, Temple University, Philadelphia, Pennsylvania 19122, United States.
  • Qian L; Department of Medical Genetics & Molecular Biochemistry, Lewis Katz School of Medicine at Temple University, 3440 North Broad Street, Philadelphia, Pennsylvania 19140, United States.
  • Acker G; Department of Medical Genetics & Molecular Biochemistry, Lewis Katz School of Medicine at Temple University, 3440 North Broad Street, Philadelphia, Pennsylvania 19140, United States.
  • Voelz VA; Department of Chemistry, Temple University, Philadelphia, Pennsylvania 19122, United States.
  • Baxter RHG; Department of Medical Genetics & Molecular Biochemistry, Lewis Katz School of Medicine at Temple University, 3440 North Broad Street, Philadelphia, Pennsylvania 19140, United States.
Biochemistry ; 61(16): 1669-1682, 2022 08 16.
Article em En | MEDLINE | ID: mdl-35895105
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 α3. 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.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: DNA / Dobramento de Proteína Tipo de estudo: Prognostic_studies Idioma: En Revista: Biochemistry Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: DNA / Dobramento de Proteína Tipo de estudo: Prognostic_studies Idioma: En Revista: Biochemistry Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos