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Integrative Organelle-Based Functional Proteomics: In Silico Prediction of Impaired Functional Annotations in SACS KO Cell Model
Autosomal recessive spastic ataxia of Charlevoix-Saguenay (ARSACS) is an inherited neurodegenerative disease characterized by early-onset spasticity in the lower limbs, axonal-demyelinating sensorimotor peripheral neuropathy, and cerebellar ataxia. Our understanding of ARSACS (genetic basis, protein...
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/PMC9331974/ https://www.ncbi.nlm.nih.gov/pubmed/35892334 http://dx.doi.org/10.3390/biom12081024 |
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author | Morani, Federica Doccini, Stefano Galatolo, Daniele Pezzini, Francesco Soliymani, Rabah Simonati, Alessandro Lalowski, Maciej M. Gemignani, Federica Santorelli, Filippo M. |
author_facet | Morani, Federica Doccini, Stefano Galatolo, Daniele Pezzini, Francesco Soliymani, Rabah Simonati, Alessandro Lalowski, Maciej M. Gemignani, Federica Santorelli, Filippo M. |
author_sort | Morani, Federica |
collection | PubMed |
description | Autosomal recessive spastic ataxia of Charlevoix-Saguenay (ARSACS) is an inherited neurodegenerative disease characterized by early-onset spasticity in the lower limbs, axonal-demyelinating sensorimotor peripheral neuropathy, and cerebellar ataxia. Our understanding of ARSACS (genetic basis, protein function, and disease mechanisms) remains partial. The integrative use of organelle-based quantitative proteomics and whole-genome analysis proposed in the present study allowed identifying the affected disease-specific pathways, upstream regulators, and biological functions related to ARSACS, which exemplify a rationale for the development of improved early diagnostic strategies and alternative treatment options in this rare condition that currently lacks a cure. Our integrated results strengthen the evidence for disease-specific defects related to bioenergetics and protein quality control systems and reinforce the role of dysregulated cytoskeletal organization in the pathogenesis of ARSACS. |
format | Online Article Text |
id | pubmed-9331974 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93319742022-07-29 Integrative Organelle-Based Functional Proteomics: In Silico Prediction of Impaired Functional Annotations in SACS KO Cell Model Morani, Federica Doccini, Stefano Galatolo, Daniele Pezzini, Francesco Soliymani, Rabah Simonati, Alessandro Lalowski, Maciej M. Gemignani, Federica Santorelli, Filippo M. Biomolecules Article Autosomal recessive spastic ataxia of Charlevoix-Saguenay (ARSACS) is an inherited neurodegenerative disease characterized by early-onset spasticity in the lower limbs, axonal-demyelinating sensorimotor peripheral neuropathy, and cerebellar ataxia. Our understanding of ARSACS (genetic basis, protein function, and disease mechanisms) remains partial. The integrative use of organelle-based quantitative proteomics and whole-genome analysis proposed in the present study allowed identifying the affected disease-specific pathways, upstream regulators, and biological functions related to ARSACS, which exemplify a rationale for the development of improved early diagnostic strategies and alternative treatment options in this rare condition that currently lacks a cure. Our integrated results strengthen the evidence for disease-specific defects related to bioenergetics and protein quality control systems and reinforce the role of dysregulated cytoskeletal organization in the pathogenesis of ARSACS. MDPI 2022-07-24 /pmc/articles/PMC9331974/ /pubmed/35892334 http://dx.doi.org/10.3390/biom12081024 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 Morani, Federica Doccini, Stefano Galatolo, Daniele Pezzini, Francesco Soliymani, Rabah Simonati, Alessandro Lalowski, Maciej M. Gemignani, Federica Santorelli, Filippo M. Integrative Organelle-Based Functional Proteomics: In Silico Prediction of Impaired Functional Annotations in SACS KO Cell Model |
title | Integrative Organelle-Based Functional Proteomics: In Silico Prediction of Impaired Functional Annotations in SACS KO Cell Model |
title_full | Integrative Organelle-Based Functional Proteomics: In Silico Prediction of Impaired Functional Annotations in SACS KO Cell Model |
title_fullStr | Integrative Organelle-Based Functional Proteomics: In Silico Prediction of Impaired Functional Annotations in SACS KO Cell Model |
title_full_unstemmed | Integrative Organelle-Based Functional Proteomics: In Silico Prediction of Impaired Functional Annotations in SACS KO Cell Model |
title_short | Integrative Organelle-Based Functional Proteomics: In Silico Prediction of Impaired Functional Annotations in SACS KO Cell Model |
title_sort | integrative organelle-based functional proteomics: in silico prediction of impaired functional annotations in sacs ko cell model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9331974/ https://www.ncbi.nlm.nih.gov/pubmed/35892334 http://dx.doi.org/10.3390/biom12081024 |
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