Mapping the configurational landscape and aggregation phase behavior of the tau protein fragment PHF6.


Journal

Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
Titre abrégé: Proc Natl Acad Sci U S A
Pays: United States
ID NLM: 7505876

Informations de publication

Date de publication:
28 Nov 2023
Historique:
pmc-release: 20 05 2024
medline: 27 11 2023
pubmed: 20 11 2023
entrez: 20 11 2023
Statut: ppublish

Résumé

The PHF6 (Val-Gln-Ile-Val-Tyr-Lys) motif, found in all isoforms of the microtubule-associated protein tau, forms an integral part of ordered cores of amyloid fibrils formed in tauopathies and is thought to play a fundamental role in tau aggregation. Because PHF6 as an isolated hexapeptide assembles into ordered fibrils on its own, it is investigated as a minimal model for insight into the initial stages of aggregation of larger tau fragments. Even for this small peptide, however, the large length and time scales associated with fibrillization pose challenges for simulation studies of its dynamic assembly, equilibrium configurational landscape, and phase behavior. Here, we develop an accurate, bottom-up coarse-grained model of PHF6 for large-scale simulations of its aggregation, which we use to uncover molecular interactions and thermodynamic driving forces governing its assembly. The model, not trained on any explicit information about fibrillar structure, predicts coexistence of formed fibrils with monomers in solution, and we calculate a putative equilibrium phase diagram in concentration-temperature space. We also characterize the configurational and free energetic landscape of PHF6 oligomers. Importantly, we demonstrate with a model of heparin that this widely studied cofactor enhances the aggregation propensity of PHF6 by ordering monomers during nucleation and remaining associated with growing fibrils, consistent with experimentally characterized heparin-tau interactions. Overall, this effort provides detailed molecular insight into PHF6 aggregation thermodynamics and pathways and, furthermore, demonstrates the potential of modern multiscale modeling techniques to produce predictive models of amyloidogenic peptides simultaneously capturing sequence-specific effects and emergent aggregate structures.

Identifiants

pubmed: 37983502
doi: 10.1073/pnas.2309995120
pmc: PMC10691331
doi:

Substances chimiques

tau Proteins 0
Peptides 0
Protein Isoforms 0
Heparin 9005-49-6

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2309995120

Subventions

Organisme : National Science Foundation (NSF)
ID : CHEM-1800344
Organisme : W. M. Keck Foundation (WMKF)
ID : N/A
Organisme : National Science Foundation (NSF)
ID : 1650114

Déclaration de conflit d'intérêts

Competing interests statement:The authors declare no competing interest.

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Auteurs

Evan Pretti (E)

Department of Chemical Engineering, University of California, Santa Barbara, CA 93106-5080.

M Scott Shell (MS)

Department of Chemical Engineering, University of California, Santa Barbara, CA 93106-5080.

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