Phosphorylation of a Tumor-Derived ASXL2 Epitope Remodels the HLA-Bound Peptide Conformational Ensemble and
Jiahui Zhang1,2, Lin Lv1,2,3, Bairun Chen4
1National Facility for Protein Science in Shanghai, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China.
Abstract:
The expansion of cancer immunotherapy has made it increasingly important to identify tumor-specific human leukocyte antigen (HLA) class I epitopes and to define the molecular determinants of peptide-HLA binding and stability. Posttranslationally modified epitopes, particularly phosphorylation, can reflect oncogenic signaling states and offer highly tumor-selective targets. Despite their potential, the structural and biophysical mechanisms by which phosphorylation reshapes the conformational ensemble and interaction network of peptide-HLA complexes remain unclear. Here, we investigate a phosphorylated ASXL transcriptional regulator 2 (ASXL2)-derived epitope supported by confident tandem mass spectrometry-based phosphosite localization and detected across multiple cancer types. We performed all-atom molecular dynamics simulations of peptide-HLA complexes to compare the phosphorylated peptide, its nonphosphorylated counterpart and its protonated-phosphorylated state. Our simulations indicate that phosphorylation reconfigures the noncovalent interaction network within the binding groove by introducing new local contacts. Principal component analysis further revealed that phosphorylation restricts peptide conformational fluctuations, thereby altering the conformational ensemble of the peptide-HLA complex. Furthermore, protonation of the phosphorylated peptide remodels the noncovalent interaction network and conformational ensemble. Together, these findings provide a structural and biophysical basis for how phosphorylation can modulate the conformational ensemble and interaction network of peptide-HLA complexes, which may help prioritize cancer-specific targets for immunotherapeutic development.
Insights
Phosphorylation of cancer epitopes alters peptide-HLA interactions and dynamics. This study reveals how phosphorylation and protonation impact binding, aiding the development of targeted cancer immunotherapies.
Area of Science:
- Immunology
- Structural Biology
- Computational Biology
Background:
- Cancer immunotherapy relies on identifying tumor-specific epitopes presented by human leukocyte antigen (HLA) class I molecules.
- Posttranslational modifications, like phosphorylation, on these epitopes can indicate oncogenic signaling and serve as tumor-selective targets.
- The precise structural and biophysical effects of phosphorylation on peptide-HLA complex conformation and interactions are not fully understood.
Purpose of the Study:
- To investigate the structural and biophysical mechanisms by which phosphorylation affects peptide-HLA complexes.
- To compare the effects of a phosphorylated peptide, its nonphosphorylated form, and its protonated-phosphorylated state on HLA binding.
- To elucidate how these modifications influence the conformational ensemble and interaction networks within the peptide-HLA complex.
Main Methods:
- All-atom molecular dynamics simulations of peptide-HLA complexes.
- Analysis of a phosphorylated epitope derived from ASXL transcriptional regulator 2 (ASXL2).
- Principal component analysis to assess conformational fluctuations and ensembles.
Main Results:
- Phosphorylation reconfigures the noncovalent interaction network within the HLA binding groove by introducing new local contacts.
- Phosphorylation restricts peptide conformational fluctuations, altering the overall conformational ensemble of the peptide-HLA complex.
- Protonation of the phosphorylated peptide further remodels the interaction network and conformational ensemble.
Conclusions:
- Phosphorylation significantly modulates the conformational ensemble and interaction network of peptide-HLA complexes.
- These findings provide a structural and biophysical basis for understanding phosphorylation's role in peptide-HLA interactions.
- This knowledge can aid in prioritizing cancer-specific targets for the development of novel immunotherapies.
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