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Analysis of Huntington’s Disease Modifiers Using the Hyperbolic Mapping of the Protein Interaction Network
Huntington’s disease (HD) is caused by the production of a mutant huntingtin (HTT) with an abnormally long poly-glutamine (polyQ) tract, forming aggregates and inclusions in neurons. Previous work by us and others has shown that an increase or decrease in polyQ-triggered aggregates can be passive si...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144261/ https://www.ncbi.nlm.nih.gov/pubmed/35628660 http://dx.doi.org/10.3390/ijms23105853 |
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author | Vagiona, Aimilia-Christina Mier, Pablo Petrakis, Spyros Andrade-Navarro, Miguel A. |
author_facet | Vagiona, Aimilia-Christina Mier, Pablo Petrakis, Spyros Andrade-Navarro, Miguel A. |
author_sort | Vagiona, Aimilia-Christina |
collection | PubMed |
description | Huntington’s disease (HD) is caused by the production of a mutant huntingtin (HTT) with an abnormally long poly-glutamine (polyQ) tract, forming aggregates and inclusions in neurons. Previous work by us and others has shown that an increase or decrease in polyQ-triggered aggregates can be passive simply due to the interaction of proteins with the aggregates. To search for proteins with active (functional) effects, which might be more effective in finding therapies and mechanisms of HD, we selected among the proteins that interact with HTT a total of 49 pairs of proteins that, while being paralogous to each other (and thus expected to have similar passive interaction with HTT), are located in different regions of the protein interaction network (suggesting participation in different pathways or complexes). Three of these 49 pairs contained members with opposite effects on HD, according to the literature. The negative members of the three pairs, MID1, IKBKG, and IKBKB, interact with PPP2CA and TUBB, which are known negative factors in HD, as well as with HSP90AA1 and RPS3. The positive members of the three pairs interact with HSPA9. Our results provide potential HD modifiers of functional relevance and reveal the dynamic aspect of paralog evolution within the interaction network. |
format | Online Article Text |
id | pubmed-9144261 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91442612022-05-29 Analysis of Huntington’s Disease Modifiers Using the Hyperbolic Mapping of the Protein Interaction Network Vagiona, Aimilia-Christina Mier, Pablo Petrakis, Spyros Andrade-Navarro, Miguel A. Int J Mol Sci Article Huntington’s disease (HD) is caused by the production of a mutant huntingtin (HTT) with an abnormally long poly-glutamine (polyQ) tract, forming aggregates and inclusions in neurons. Previous work by us and others has shown that an increase or decrease in polyQ-triggered aggregates can be passive simply due to the interaction of proteins with the aggregates. To search for proteins with active (functional) effects, which might be more effective in finding therapies and mechanisms of HD, we selected among the proteins that interact with HTT a total of 49 pairs of proteins that, while being paralogous to each other (and thus expected to have similar passive interaction with HTT), are located in different regions of the protein interaction network (suggesting participation in different pathways or complexes). Three of these 49 pairs contained members with opposite effects on HD, according to the literature. The negative members of the three pairs, MID1, IKBKG, and IKBKB, interact with PPP2CA and TUBB, which are known negative factors in HD, as well as with HSP90AA1 and RPS3. The positive members of the three pairs interact with HSPA9. Our results provide potential HD modifiers of functional relevance and reveal the dynamic aspect of paralog evolution within the interaction network. MDPI 2022-05-23 /pmc/articles/PMC9144261/ /pubmed/35628660 http://dx.doi.org/10.3390/ijms23105853 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Vagiona, Aimilia-Christina Mier, Pablo Petrakis, Spyros Andrade-Navarro, Miguel A. Analysis of Huntington’s Disease Modifiers Using the Hyperbolic Mapping of the Protein Interaction Network |
title | Analysis of Huntington’s Disease Modifiers Using the Hyperbolic Mapping of the Protein Interaction Network |
title_full | Analysis of Huntington’s Disease Modifiers Using the Hyperbolic Mapping of the Protein Interaction Network |
title_fullStr | Analysis of Huntington’s Disease Modifiers Using the Hyperbolic Mapping of the Protein Interaction Network |
title_full_unstemmed | Analysis of Huntington’s Disease Modifiers Using the Hyperbolic Mapping of the Protein Interaction Network |
title_short | Analysis of Huntington’s Disease Modifiers Using the Hyperbolic Mapping of the Protein Interaction Network |
title_sort | analysis of huntington’s disease modifiers using the hyperbolic mapping of the protein interaction network |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144261/ https://www.ncbi.nlm.nih.gov/pubmed/35628660 http://dx.doi.org/10.3390/ijms23105853 |
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