Literature DB >> 26947327

Polyglutamine Fibrils: New Insights into Antiparallel β-Sheet Conformational Preference and Side Chain Structure.

David Punihaole1, Riley J Workman2, Zhenmin Hong1, Jeffry D Madura2, Sanford A Asher1.   

Abstract

Understanding the structure of polyglutamine (polyQ) amyloid-like fibril aggregates is crucial to gaining insights into the etiology of at least ten neurodegenerative disorders, including Huntington's disease. Here, we determine the structure of D2Q10K2 (Q10) fibrils using ultraviolet resonance Raman (UVRR) spectroscopy and molecular dynamics (MD). Using UVRR, we determine the fibril peptide backbone Ψ and glutamine (Gln) side chain χ3 dihedral angles. We find that most of the fibril peptide bonds adopt antiparallel β-sheet conformations; however, a small population of peptide bonds exist in parallel β-sheet structures. Using MD, we simulate three different potential fibril structural models that consist of either β-strands or β-hairpins. Comparing the experimentally measured Ψ and χ3 angle distributions to those obtained from the MD simulated models, we conclude that the basic structural motif of Q10 fibrils is an extended β-strand structure. Importantly, we determine from our MD simulations that Q10 fibril antiparallel β-sheets are thermodynamically more stable than parallel β-sheets. This accounts for why polyQ fibrils preferentially adopt antiparallel β-sheet conformations instead of in-register parallel β-sheets like most amyloidogenic peptides. In addition, we directly determine, for the first time, the structures of Gln side chains. Our structural data give new insights into the role that the Gln side chains play in the stabilization of polyQ fibrils. Finally, our work demonstrates the synergistic power and utility of combining UVRR measurements and MD modeling to determine the structure of amyloid-like fibrils.

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Year:  2016        PMID: 26947327     DOI: 10.1021/acs.jpcb.5b11380

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  14 in total

1.  UV Resonance Raman Structural Characterization of an (In)soluble Polyglutamine Peptide.

Authors:  Ryan S Jakubek; Stephen E White; Sanford A Asher
Journal:  J Phys Chem B       Date:  2019-02-19       Impact factor: 2.991

Review 2.  Understanding amyloid fibril formation using protein fragments: structural investigations via vibrational spectroscopy and solid-state NMR.

Authors:  Benjamin Martial; Thierry Lefèvre; Michèle Auger
Journal:  Biophys Rev       Date:  2018-05-31

3.  Ultraviolet Resonance Raman Spectroscopic Markers for Protein Structure and Dynamics.

Authors:  Ryan S Jakubek; Joseph Handen; Stephen E White; Sanford A Asher; Igor K Lednev
Journal:  Trends Analyt Chem       Date:  2017-12-11       Impact factor: 12.296

4.  Assembly of Huntingtin headpiece into α-helical bundles.

Authors:  Beytullah Ozgur; Mehmet Sayar
Journal:  Biointerphases       Date:  2017-05-24       Impact factor: 2.456

5.  Thermodynamics of Huntingtin Aggregation.

Authors:  Tam T M Phan; Jeremy D Schmit
Journal:  Biophys J       Date:  2020-05-20       Impact factor: 4.033

6.  Polyglutamine Solution-State Structural Propensity Is Repeat Length Dependent.

Authors:  Ryan S Jakubek; Riley J Workman; Stephen E White; Sanford A Asher
Journal:  J Phys Chem B       Date:  2019-05-01       Impact factor: 2.991

7.  Conformational entropy limits the transition from nucleation to elongation in amyloid aggregation.

Authors:  Tien M Phan; Jeremy D Schmit
Journal:  Biophys J       Date:  2022-07-01       Impact factor: 3.699

Review 8.  Structural Bases of Prion Variation in Yeast.

Authors:  Vitaly V Kushnirov; Alexander A Dergalev; Maya K Alieva; Alexander I Alexandrov
Journal:  Int J Mol Sci       Date:  2022-05-20       Impact factor: 6.208

Review 9.  Translational Chemistry Meets Gluten-Related Disorders.

Authors:  Karen M Lammers; Maria G Herrera; Veronica I Dodero
Journal:  ChemistryOpen       Date:  2018-02-27       Impact factor: 2.911

10.  Development of a quantitative method to measure EV uptake.

Authors:  Víctor Toribio; Sara Morales; Soraya López-Martín; Beatriz Cardeñes; Carlos Cabañas; María Yáñez-Mó
Journal:  Sci Rep       Date:  2019-07-19       Impact factor: 4.379

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