title: A coarse-grained model for polyglutamine aggregation modulated by amphipathic flanking sequences.
abstract: The aggregation of proteins with expanded polyglutamine (polyQ) tracts is directly relevant to the formation of neuronal intranuclear inclusions in Huntington's disease. In vitro studies have uncovered the effects of flanking sequences as modulators of the driving forces and mechanisms of polyQ aggregation in sequence segments associated with HD. Specifically, a seventeen-residue amphipathic stretch (N17) that is directly N-terminal to the polyQ tract in huntingtin decreases the overall solubility, destabilizes nonfibrillar aggregates, and accelerates fibril formation. Published results from atomistic simulations showed that the N17 module reduces the frequency of intermolecular association. Our reanalysis of these simulation results demonstrates that the N17 module also reduces interchain entanglements between polyQ domains. These two effects, which are observed on the smallest lengthscales, are incorporated into phenomenological pair potentials and used in coarse-grained Brownian dynamics simulations to investigate their impact on large-scale aggregation. We analyze the results from Brownian dynamics simulations using the framework of diffusion-limited cluster aggregation. When entanglements prevail, which is true in the absence of N17, small spherical clusters and large linear aggregates form on distinct timescales, in accord with in vitro experiments. Conversely, when entanglements are quenched and a barrier to intermolecular associations is introduced, both of which are attributable to N17, the timescales for forming small species and large linear aggregates become similar. Therefore, the combination of a reduction of interchain entanglements through homopolymeric polyQ and barriers to intermolecular associations appears to be sufficient for providing a minimalist phenomenological rationalization of in vitro observations regarding the effects of N17 on polyQ aggregation.
authors.affiliation: Department of Biomedical Engineering and Center for Biological Systems Engineering, Washington University in St. Louis, St. Louis, Missouri; Division of Biology and Biomedical Sciences, Computational and Systems Biology Program, Washington University in St. Louis, St. Louis, Missouri.
authors.forename: Kiersten M
authors.initials: KM
authors.lastname: Ruff
authors.affiliation: Department of Biomedical Engineering and Center for Biological Systems Engineering, Washington University in St. Louis, St. Louis, Missouri.
authors.forename: Siddique J
authors.initials: SJ
authors.lastname: Khan
authors.affiliation: Department of Biomedical Engineering and Center for Biological Systems Engineering, Washington University in St. Louis, St. Louis, Missouri. Electronic address: pappu@wustl.edu.
authors.forename: Rohit V
authors.initials: RV
authors.lastname: Pappu
mesh_terms: D003198:Computer Simulation; D004058:Diffusion; D007700:Kinetics; D008958:Models, Molecular; D010455:Peptides / Q000737:chemistry*; D055503:Protein Multimerization
chemical_list: D010455:Peptides; C097188:polyglutamine