Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Vagiona, Aimilia-Christina, Mier, Pablo, Petrakis, Spyros, Andrade-Navarro, Miguel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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
_version_ 1784716005797265408
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
work_keys_str_mv AT vagionaaimiliachristina analysisofhuntingtonsdiseasemodifiersusingthehyperbolicmappingoftheproteininteractionnetwork
AT mierpablo analysisofhuntingtonsdiseasemodifiersusingthehyperbolicmappingoftheproteininteractionnetwork
AT petrakisspyros analysisofhuntingtonsdiseasemodifiersusingthehyperbolicmappingoftheproteininteractionnetwork
AT andradenavarromiguela analysisofhuntingtonsdiseasemodifiersusingthehyperbolicmappingoftheproteininteractionnetwork