Literature DB >> 20938536

Effects of mutation on the amyloidogenic propensity of apolipoprotein C-II(60-70) peptide.

Nevena Todorova1, Andrew Hung, Simon M Maaser, Michael D W Griffin, John Karas, Geoffrey J Howlett, Irene Yarovsky.   

Abstract

Using experimental and computational methods we identified the effects of mutation on the structure and dynamics of the amyloidogenic peptide apoC-II(60-70), in monomeric and oligomeric states. Methionine (Met60) substitutions to hydrophilic Gln, hydrophobic Val, and methionine sulfoxide residues were investigated and the results compared with observations of fibril formation by the wild-type, Met60Gln, Met60Val, and oxidised Met60 (oxi-Met) apoC-II(60-70) peptides. ThT fluorescence measurements showed fibril formation by all peptides, however with different kinetics. The wild-type and Met60Val peptides formed fibrils fastest, while oxi-Met and Met60Gln peptides exhibited significantly longer lag phases. Molecular dynamics simulations showed that the mutated monomers exhibited structural features consistent with fibril-forming propensity, such as β-hairpin conformation and a hydrophobic core. However, important differences to the wild-type were also noted, such as increased structural flexibility (oxi-Met and Met60Gln systems) and a broader distribution of the aromatic angle orientation, which could contribute to the different fibrillation kinetics observed in these peptides. Our results also showed that the critical nucleus size for fibril formation by apoC-II(60-70) may not be very large, since tetrameric oligomers in anti-parallel configuration were very stable within the 100 ns of simulations. The single-point mutations Met60Val and Met60Gln had no significant effect on the structural stability of the tetramer. The rate of fibril formation by apoC-II(60-70) peptides was generally much faster compared to longer apoC-II(56-76) peptides. Also, the effects of amino acid modifications on the kinetics of peptide fibril formation differ from the effects observed for apoC-II(56-76) and full-length apoC-II, suggesting that additional mechanisms are involved in fibril formation by mature apoC-II.

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Year:  2010        PMID: 20938536     DOI: 10.1039/c0cp00299b

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  5 in total

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Authors:  Chai Lean Teoh; Michael D W Griffin; Geoffrey J Howlett
Journal:  Protein Cell       Date:  2011-03-12       Impact factor: 14.870

2.  Novel Type of Renal Amyloidosis Derived from Apolipoprotein-CII.

Authors:  Samih H Nasr; Surendra Dasari; Linda Hasadsri; Jason D Theis; Julie A Vrana; Morie A Gertz; Prasuna Muppa; Michael T Zimmermann; Karen L Grogg; Angela Dispenzieri; Sanjeev Sethi; W Edward Highsmith; Giampaolo Merlini; Nelson Leung; Paul J Kurtin
Journal:  J Am Soc Nephrol       Date:  2016-06-13       Impact factor: 10.121

3.  "Janus" cyclic peptides: a new approach to amyloid fibril inhibition?

Authors:  Nevena Todorova; Levi Yeung; Andrew Hung; Irene Yarovsky
Journal:  PLoS One       Date:  2013-02-20       Impact factor: 3.240

4.  Dimensionality of carbon nanomaterials determines the binding and dynamics of amyloidogenic peptides: multiscale theoretical simulations.

Authors:  Nevena Todorova; Adam J Makarucha; Nicholas D M Hine; Arash A Mostofi; Irene Yarovsky
Journal:  PLoS Comput Biol       Date:  2013-12-05       Impact factor: 4.475

Review 5.  Bioelectromagnetics Research within an Australian Context: The Australian Centre for Electromagnetic Bioeffects Research (ACEBR).

Authors:  Sarah P Loughran; Md Shahriar Al Hossain; Alan Bentvelzen; Mark Elwood; John Finnie; Joseph Horvat; Steve Iskra; Elena P Ivanova; Jim Manavis; Chathuranga Keerawella Mudiyanselage; Alireza Lajevardipour; Boris Martinac; Robert McIntosh; Raymond McKenzie; Mislav Mustapic; Yoshitaka Nakayama; Elena Pirogova; M Harunur Rashid; Nigel A Taylor; Nevena Todorova; Peter M Wiedemann; Robert Vink; Andrew Wood; Irene Yarovsky; Rodney J Croft
Journal:  Int J Environ Res Public Health       Date:  2016-09-29       Impact factor: 3.390

  5 in total

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