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Simulations of oligomeric intermediates in prion diseases

  • David L. Mobley
  • , Daniel L. Cox
  • , Rajiv R.P. Singh
  • , Rahul V. Kulkarni
  • , Alexander Slepoy
  • University of California at Davis
  • NEC Corporation
  • Sandia National Laboratories, New Mexico

Research output: Contribution to journal › Article › peer-review

Abstract

We extend our previous stochastic cellular automata-based model for two-dimensional (areal) aggregation of prion proteins on neuronal surfaces. The new anisotropic model allows us to simulate both strong β-sheet and weaker attachment bonds between proteins. Constraining binding directions allows us to generate aggregate structures with the hexagonal lattice symmetry found in recently observed in vitro experiments. We argue that these constraints on rules may correspond to underlying steric constraints on the aggregation process. We find that monomer-dominated growth of the areal aggregate is too slow to account for some observed doubling-time-to-incubation-time ratios inferred from data, and so consider aggregation dominated by relatively stable but noninfectious oligomeric intermediates. We compare a kinetic theory analysis of oligomeric aggregation to spatially explicit simulations of the process. We find that with suitable rules for misfolding of oligomers, possibly due to water exclusion by the surrounding aggregate, the resulting oligomeric aggregation model maps onto our previous monomer aggregation model. Therefore it can produce some of the same attractive features for the description of prion incubation time data. We propose experiments to test the oligomeric aggregation model.

Original languageEnglish
Pages (from-to)2213-2223
Number of pages11
JournalBiophysical Journal
Volume85
Issue number4
DOIs
StatePublished - Oct 1 2003

ASJC Scopus Subject Areas

  • Biophysics

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