Helmholtz Gemeinschaft

Search
Browse
Statistics
Feeds

Systematic interaction network filtering identifies CRMP1 as a novel suppressor of huntingtin misfolding and neurotoxicity

[thumbnail of Original Article]
Preview
PDF (Original Article) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
1MB
[thumbnail of Supplementary Information] Other (Supplementary Information)
4MB

Item Type:Article
Title:Systematic interaction network filtering identifies CRMP1 as a novel suppressor of huntingtin misfolding and neurotoxicity
Creators Name:Stroedicke, M., Bounab, Y., Strempel, N., Klockmeier, K., Yigit, S., Friedrich, R.P., Chaurasia, G., Li, S., Hesse, F., Riechers, S.P., Russ, J., Nicoletti, C., Boeddrich, A., Wiglenda, T., Haenig, C., Schnoegl, S., Fournier, D., Graham, R.K., Hayden, M.R., Sigrist, S., Bates, G.P., Priller, J., Andrade-Navarro, M.A., Futschik, M.E. and Wanker, E.E.
Abstract:Assemblies of huntingtin (HTT) fragments with expanded polyglutamine (polyQ) tracts are a pathological hallmark of Huntington's disease (HD). The molecular mechanisms by which these structures are formed and cause neuronal dysfunction and toxicity are poorly understood. Here, we utilized available gene expression data sets of selected brain regions of HD patients and controls for systematic interaction network filtering in order to predict disease-relevant, brain region-specific HTT interaction partners. Starting from a large protein-protein interaction (PPI) data set, a step-by-step computational filtering strategy facilitated the generation of a focused PPI network that directly or indirectly connects 13 proteins potentially dysregulated in HD with the disease protein HTT. This network enabled the discovery of the neuron-specific protein CRMP1 that targets aggregation-prone, N-terminal HTT fragments and suppresses their spontaneous self-assembly into proteotoxic structures in various models of HD. Experimental validation indicates that our network filtering procedure provides a simple but powerful strategy to identify disease-relevant proteins that influence misfolding and aggregation of polyQ disease proteins.
Keywords:Algorithms, Amino Acid Sequence, Brain, Molecular Sequence Data, Nerve Tissue Proteins, Pathological Protein Aggregation, PC12 Cells, Protein Binding, Protein Folding, Tumor Cell Line, Animals, Drosophila, Rats
Source:Genome Research
ISSN:1088-9051
Publisher:Cold Spring Harbor Laboratory Press
Volume:25
Number:5
Page Range:701-713
Date:May 2015
Additional Information:Copyright © 2015 Stroedicke et al.; Published by Cold Spring Harbor Laboratory Press. This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at https://creativecommons.org/licenses/by-nc/4.0/.
Official Publication:https://doi.org/10.1101/gr.182444.114
PubMed:View item in PubMed

Repository Staff Only: item control page

Downloads

Downloads per month over past year

Open Access
MDC Library