Literature DB >> 16699519

Stochastic kinetics of intracellular huntingtin aggregate formation.

David W Colby1, John P Cassady, Grace C Lin, Vernon M Ingram, K Dane Wittrup.   

Abstract

Neurodegeneration in Huntington disease is described by neuronal loss in which the probability of cell death remains constant with time. However, the quantitative connection between the kinetics of cell death and the molecular mechanism initiating neurodegeneration remains unclear. One hypothesis is that nucleation of protein aggregates containing exon I fragments of the mutant huntingtin protein (mhttex1), which contains an expanded polyglutamine region in patients with the disease, is the explanation for the infrequent but steady occurrence of neuronal death, resulting in adult onset of the disease. Recent in vitro evidence suggests that sufficiently long polyglutamine peptides undergo a unimolecular conformational change to form a nucleus that seeds aggregation. Here we use this nucleation mechanism as the basis to derive a stochastic mathematical model describing the probability of aggregate formation in cells as a function of time and mhttex1 protein concentration, and validate the model experimentally. These findings suggest that therapeutic strategies for Huntington disease predicated on reducing the rate of mhttex1 aggregation need only make modest reductions in huntingtin expression level to substantially increase the delay time until aggregate formation.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16699519     DOI: 10.1038/nchembio792

Source DB:  PubMed          Journal:  Nat Chem Biol        ISSN: 1552-4450            Impact factor:   15.040


  33 in total

1.  A revisited folding reporter for quantitative assay of protein misfolding and aggregation in mammalian cells.

Authors:  Simpson Gregoire; Inchan Kwon
Journal:  Biotechnol J       Date:  2012-06-27       Impact factor: 4.677

Review 2.  Physical chemistry of polyglutamine: intriguing tales of a monotonous sequence.

Authors:  Ronald Wetzel
Journal:  J Mol Biol       Date:  2012-01-27       Impact factor: 5.469

3.  Fiber-dependent amyloid formation as catalysis of an existing reaction pathway.

Authors:  Amy M Ruschak; Andrew D Miranker
Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-17       Impact factor: 11.205

4.  Model discrimination and mechanistic interpretation of kinetic data in protein aggregation studies.

Authors:  Joseph P Bernacki; Regina M Murphy
Journal:  Biophys J       Date:  2009-04-08       Impact factor: 4.033

5.  Crowded cell-like environment accelerates the nucleation step of amyloidogenic protein misfolding.

Authors:  Zheng Zhou; Jun-Bao Fan; Hai-Li Zhu; Frank Shewmaker; Xu Yan; Xi Chen; Jie Chen; Geng-Fu Xiao; Lin Guo; Yi Liang
Journal:  J Biol Chem       Date:  2009-09-10       Impact factor: 5.157

Review 6.  PolyQ disease: misfiring of a developmental cell death program?

Authors:  Elyse S Blum; Andrew R Schwendeman; Shai Shaham
Journal:  Trends Cell Biol       Date:  2012-12-08       Impact factor: 20.808

7.  Cis-suppression to arrest protein aggregation in mammalian cells.

Authors:  Simpson Gregoire; Shaojie Zhang; Joseph Costanzo; Kelly Wilson; Erik J Fernandez; Inchan Kwon
Journal:  Biotechnol Bioeng       Date:  2013-10-18       Impact factor: 4.530

8.  Stable polyglutamine dimers can contain β-hairpins with interdigitated side chains-but not α-helices, β-nanotubes, β-pseudohelices, or steric zippers.

Authors:  Markus S Miettinen; Luca Monticelli; Praveen Nedumpully-Govindan; Volker Knecht; Zoya Ignatova
Journal:  Biophys J       Date:  2014-04-15       Impact factor: 4.033

9.  An aggregation sensing reporter identifies leflunomide and teriflunomide as polyglutamine aggregate inhibitors.

Authors:  Rodrigo A Fuentealba; Jayne Marasa; Marc I Diamond; David Piwnica-Worms; Conrad C Weihl
Journal:  Hum Mol Genet       Date:  2011-11-03       Impact factor: 6.150

10.  Conformational targeting of fibrillar polyglutamine proteins in live cells escalates aggregation and cytotoxicity.

Authors:  Erik Kvam; Brent L Nannenga; Min S Wang; Zongjian Jia; Michael R Sierks; Anne Messer
Journal:  PLoS One       Date:  2009-05-28       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.