Cited by 65Parkinson's Disease Mechanisms and TreatmentsAlzheimer's disease research and treatmentsProtein Structure and Dynamics

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The A53T Mutation is Key in Defining the Differences in the Aggregation Kinetics of Human and Mouse α-Synuclein

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Kang, Lijuan, Wu, Kuen-Phon, Vendruscolo, Michele, Baum, Jean·2011·Journal of the American Chemical Society

Abstract

Despite a 95% sequence similarity, the aggregation of human and mouse α-synuclein is remarkably different, as the human form is slower than the mouse form in forming fibrils but is associated with Parkinson's disease in both humans and transgenic mice. Here, the amino acid code underlying these differences is investigated by comparing the lag times, growth rates, and secondary structure propensities of a systematic series of eight human-mouse chimeras. Fluorescence analysis of these variants shows that the A53T substitution dominates the growth kinetics, while the lag phase is affected by a combination of the A53T and S87N substitutions. The secondary structure propensities derived from an NMR chemical shift analysis of the monomeric forms of the human-mouse variants enable us to establish a link between the changes in the conformational properties in the region of position 53 upon mutation and the corresponding changes in growth rates. These results suggest that the presence of an alanine residue at position 53 may be an evolutionary adaptation to minimize Parkinson's disease in humans and indicates that effective drug development efforts may be directed to target this N-terminal region of the sequence.

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Research works printed but not linked: 32

  1. Chiti F., 2006, Annu. Rev. Biochem., 75, 333, 10.1146/annurev.biochem.75.101304.123901 · DOI
  2. Goedert M., 2001, Nat. Rev., 2, 492, 10.1038/35081564 · DOI
  3. Uversky V. N., 2009, Front. Biosci., 14, 5188, 10.2741/3594 · DOI
  4. Burre J., 2010, Science, 329, 1663, 10.1126/science.1195227 · DOI
  5. Knowles T. P., 2009, Science, 326, 1533, 10.1126/science.1178250 · DOI
  6. Fink A. L., 2006, Acc. Chem. Res., 39, 628, 10.1021/ar050073t · DOI
  7. Serpell L. C., 2000, Proc. Natl. Acad. Sci. U.S.A., 97, 4897, 10.1073/pnas.97.9.4897 · DOI
  8. Polymeropoulos M. H., 1997, Science, 276, 2045, 10.1126/science.276.5321.2045 · DOI · Paper page
  9. Krüger R., 1998, Nat. Genet., 18, 106, 10.1038/ng0298-106 · DOI · Paper page
  10. Zarranz J. J., 2004, Ann. Neurol., 55, 164, 10.1002/ana.10795 · DOI · Paper page
  11. Fredenburg R. A., 2007, Biochemistry, 46, 7107, 10.1021/bi7000246 · DOI
  12. Conway K. A., 1998, Nat. Med., 4, 1318, 10.1038/3311 · DOI
  13. Li J., 2001, Biochemistry, 40, 11604, 10.1021/bi010616g · DOI
  14. Conway K. A., 2000, Proc. Natl. Acad. Sci. U.S.A., 97, 571, 10.1073/pnas.97.2.571 · DOI
  15. Rochet J. C., 2000, Biochemistry, 39, 10619, 10.1021/bi001315u · DOI
  16. Uversky V. N., 2003, J. Biomol. Struct. Dyn., 21, 211, 10.1080/07391102.2003.10506918 · DOI
  17. Weinreb P. H., 1996, Biochemistry, 35, 13709, 10.1021/bi961799n · DOI
  18. Fandrich M., 2007, J. Mol. Biol., 365, 1266, 10.1016/j.jmb.2006.11.009 · DOI
  19. Platt G. W., 2008, J. Mol. Biol., 378, 251, 10.1016/j.jmb.2008.01.092 · DOI
  20. Ryan T. M., 2010, J. Mol. Biol., 399, 731, 10.1016/j.jmb.2010.04.042 · DOI
  21. Hamilton B. A., 2004, Genomics, 83, 739, 10.1016/j.ygeno.2003.09.016 · DOI
  22. Bussell R., 2001, J. Biol. Chem., 276, 45996, 10.1074/jbc.M106777200 · DOI
  23. Marsh J. A., 2006, Protein Sci., 15, 2795, 10.1110/ps.062465306 · DOI
  24. Bertoncini C. W., 2005, Proc. Natl. Acad. Sci. U.S.A., 102, 1430, 10.1073/pnas.0407146102 · DOI
  25. Wu K.-P., 2009, J. Mol. Biol., 391, 784, 10.1016/j.jmb.2009.06.063 · DOI
  26. Wu K. P., 2008, J. Mol. Biol., 378, 1104, 10.1016/j.jmb.2008.03.017 · DOI
  27. Rospigliosi C. C., 2009, J. Mol. Biol., 388, 1022, 10.1016/j.jmb.2009.03.065 · DOI
  28. Williamson J. A., 2009, J. Mol. Biol., 393, 383, 10.1016/j.jmb.2009.07.077 · DOI
  29. Routledge K. E., 2009, J. Mol. Biol., 389, 776, 10.1016/j.jmb.2009.04.042 · DOI
  30. Delaglio F., 1995, J. Biomol. NMR, 6, 277, 10.1007/BF00197809 · DOI
  31. Goddard T. D., Sparky – NMR Assignment and Integration Software
  32. Wishart D. S., 2001, Methods Enzymol., 3380, 3

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Metadata

Authors
Kang, L., Wu, K.-P., Vendruscolo, M., & Baum, J.
Affiliations
  • Rutgers, The State University of New Jersey (US)
  • University of Cambridge (GB)
Corresponding author
Baum, Jean
Venue
Journal of the American Chemical Society
Published
2011-08-08
Volume
133
Issue
34
Pages
13465-13470
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2008254728
Cited by
65
References
0
Citations by year
2026: 4 · 2025: 8 · 2024: 9 · 2023: 3 · 2021: 4 · 2020: 4 · 2019: 5 · 2018: 3 · 2017: 2 · 2016: 8 · 2015: 4 · 2014: 3 · 2013: 3 · 2012: 4
FWCI
2.03
Type
journal article
Language
en
Open access
Locations
  • Journal of the American Chemical Society (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • Rutgers University Community Repository (Rutgers University) (submittedVersion)
Funders
National Institute of General Medical Sciences (GM087012, R01GM045302, GM 45302, R01GM087012)
Topics
  • Health Sciences › Medicine › Clinical Neurology › Parkinson's Disease Mechanisms and Treatments
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
Keywords
alpha-synuclein, A53T mutation, human-mouse chimeras, protein aggregation kinetics, fibril formation, Parkinson's disease, time delay, growth rate, secondary structure propensity, N-terminal domain, transgenic mouse model, adaptive evolution
MeSH terms
Amino Acid Sequence, Amyloid, Animals, Humans, Kinetics, Molecular Sequence Data, Parkinson Disease, Sequence Alignment, Point Mutation, Protein Structure, Secondary, Mice, alpha-Synuclein

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