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Quantitative Interaction Proteomics of Neurodegenerative Disease Proteins
Several proteins have been linked to neurodegenerative disorders (NDDs), but their molecular function is not completely understood. Here, we used quantitative interaction proteomics to identify binding partners of Amyloid beta precursor protein (APP) and Presenilin-1 (PSEN1) for Alzheimer’s disease...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9014711/ https://www.ncbi.nlm.nih.gov/pubmed/25959826 http://dx.doi.org/10.1016/j.celrep.2015.04.030 |
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author | Hosp, Fabian Vossfeldt, Hannes Heinig, Matthias Vasiljevic, Djordje Arumughan, Anup Wyler, Emanuel Landthaler, Markus Hubner, Norbert Wanker, Erich E. Lannfelt, Lars Ingelsson, Martin Lalowski, Maciej Voigt, Aaron Selbach, Matthias |
author_facet | Hosp, Fabian Vossfeldt, Hannes Heinig, Matthias Vasiljevic, Djordje Arumughan, Anup Wyler, Emanuel Landthaler, Markus Hubner, Norbert Wanker, Erich E. Lannfelt, Lars Ingelsson, Martin Lalowski, Maciej Voigt, Aaron Selbach, Matthias |
author_sort | Hosp, Fabian |
collection | PubMed |
description | Several proteins have been linked to neurodegenerative disorders (NDDs), but their molecular function is not completely understood. Here, we used quantitative interaction proteomics to identify binding partners of Amyloid beta precursor protein (APP) and Presenilin-1 (PSEN1) for Alzheimer’s disease (AD), Huntingtin (HTT) for Huntington’s disease, Parkin (PARK2) for Parkinson’s disease, and Ataxin-1 (ATXN1) for spinocerebellar ataxia type 1. Our network reveals common signatures of protein degradation and misfolding and recapitulates known biology. Toxicity modifier screens and comparison to genome-wide association studies show that interaction partners are significantly linked to disease phenotypes in vivo. Direct comparison of wild-type proteins and disease-associated variants identified binders involved in pathogenesis, highlighting the value of differential interactome mapping. Finally, we show that the mitochondrial protein LRPPRC interacts preferentially with an early-onset AD variant of APP. This interaction appears to induce mitochondrial dysfunction, which is an early phenotype of AD. |
format | Online Article Text |
id | pubmed-9014711 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
record_format | MEDLINE/PubMed |
spelling | pubmed-90147112022-04-18 Quantitative Interaction Proteomics of Neurodegenerative Disease Proteins Hosp, Fabian Vossfeldt, Hannes Heinig, Matthias Vasiljevic, Djordje Arumughan, Anup Wyler, Emanuel Landthaler, Markus Hubner, Norbert Wanker, Erich E. Lannfelt, Lars Ingelsson, Martin Lalowski, Maciej Voigt, Aaron Selbach, Matthias Cell Rep Article Several proteins have been linked to neurodegenerative disorders (NDDs), but their molecular function is not completely understood. Here, we used quantitative interaction proteomics to identify binding partners of Amyloid beta precursor protein (APP) and Presenilin-1 (PSEN1) for Alzheimer’s disease (AD), Huntingtin (HTT) for Huntington’s disease, Parkin (PARK2) for Parkinson’s disease, and Ataxin-1 (ATXN1) for spinocerebellar ataxia type 1. Our network reveals common signatures of protein degradation and misfolding and recapitulates known biology. Toxicity modifier screens and comparison to genome-wide association studies show that interaction partners are significantly linked to disease phenotypes in vivo. Direct comparison of wild-type proteins and disease-associated variants identified binders involved in pathogenesis, highlighting the value of differential interactome mapping. Finally, we show that the mitochondrial protein LRPPRC interacts preferentially with an early-onset AD variant of APP. This interaction appears to induce mitochondrial dysfunction, which is an early phenotype of AD. 2015-05-19 2015-05-07 /pmc/articles/PMC9014711/ /pubmed/25959826 http://dx.doi.org/10.1016/j.celrep.2015.04.030 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ). |
spellingShingle | Article Hosp, Fabian Vossfeldt, Hannes Heinig, Matthias Vasiljevic, Djordje Arumughan, Anup Wyler, Emanuel Landthaler, Markus Hubner, Norbert Wanker, Erich E. Lannfelt, Lars Ingelsson, Martin Lalowski, Maciej Voigt, Aaron Selbach, Matthias Quantitative Interaction Proteomics of Neurodegenerative Disease Proteins |
title | Quantitative Interaction Proteomics of Neurodegenerative Disease Proteins |
title_full | Quantitative Interaction Proteomics of Neurodegenerative Disease Proteins |
title_fullStr | Quantitative Interaction Proteomics of Neurodegenerative Disease Proteins |
title_full_unstemmed | Quantitative Interaction Proteomics of Neurodegenerative Disease Proteins |
title_short | Quantitative Interaction Proteomics of Neurodegenerative Disease Proteins |
title_sort | quantitative interaction proteomics of neurodegenerative disease proteins |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9014711/ https://www.ncbi.nlm.nih.gov/pubmed/25959826 http://dx.doi.org/10.1016/j.celrep.2015.04.030 |
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