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Combining Protein Expression and Molecular Data Improves Mutation Characterization of Dystrophinopathies
Duchenne and Becker muscular dystrophy are X-linked recessive inherited disorders characterized by progressive weakness due to skeletal muscle degeneration. Different mutations in the DMD gene, which encodes for dystrophin protein, are responsible for these disorders. The aim of our study was to inv...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8689184/ https://www.ncbi.nlm.nih.gov/pubmed/34950096 http://dx.doi.org/10.3389/fneur.2021.718396 |
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author | Gaina, Gisela Vossen, Rolf H. A. M. Manole, Emilia Plesca, Doina Anca Ionica, Elena |
author_facet | Gaina, Gisela Vossen, Rolf H. A. M. Manole, Emilia Plesca, Doina Anca Ionica, Elena |
author_sort | Gaina, Gisela |
collection | PubMed |
description | Duchenne and Becker muscular dystrophy are X-linked recessive inherited disorders characterized by progressive weakness due to skeletal muscle degeneration. Different mutations in the DMD gene, which encodes for dystrophin protein, are responsible for these disorders. The aim of our study was to investigate the relationship between type, size, and location of the mutation that occurs in the DMD gene and their effect on dystrophin protein expression in a cohort of 40 male dystrophinopathy patients and nine females, possible carriers. We evaluated the expression of dystrophin by immunofluorescence and immunoblotting. The mutational spectrum of the DMD gene was established by MLPA for large copy number variants, followed by HRM analysis for point mutations and sequencing of samples with an abnormal melting profile. MLPA revealed 30 deletions (75%) and three duplications (7.5%). HRM analysis accounted for seven-point mutations (17.5%). We also report four novel small mutations (c. 8507G>T, c.3021delG, c.9563_9563+1insAGCATGTTTATGATACAGCA, c.7661-60T>A) in DMD gene. Our work shows that the DNA translational open reading frame and the location of the mutation both influence the expression of dystrophin and disease severity phenotype. The proposed algorithm used in this study demonstrates its accuracy for the characterization of dystrophinopathy patients. |
format | Online Article Text |
id | pubmed-8689184 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86891842021-12-22 Combining Protein Expression and Molecular Data Improves Mutation Characterization of Dystrophinopathies Gaina, Gisela Vossen, Rolf H. A. M. Manole, Emilia Plesca, Doina Anca Ionica, Elena Front Neurol Neurology Duchenne and Becker muscular dystrophy are X-linked recessive inherited disorders characterized by progressive weakness due to skeletal muscle degeneration. Different mutations in the DMD gene, which encodes for dystrophin protein, are responsible for these disorders. The aim of our study was to investigate the relationship between type, size, and location of the mutation that occurs in the DMD gene and their effect on dystrophin protein expression in a cohort of 40 male dystrophinopathy patients and nine females, possible carriers. We evaluated the expression of dystrophin by immunofluorescence and immunoblotting. The mutational spectrum of the DMD gene was established by MLPA for large copy number variants, followed by HRM analysis for point mutations and sequencing of samples with an abnormal melting profile. MLPA revealed 30 deletions (75%) and three duplications (7.5%). HRM analysis accounted for seven-point mutations (17.5%). We also report four novel small mutations (c. 8507G>T, c.3021delG, c.9563_9563+1insAGCATGTTTATGATACAGCA, c.7661-60T>A) in DMD gene. Our work shows that the DNA translational open reading frame and the location of the mutation both influence the expression of dystrophin and disease severity phenotype. The proposed algorithm used in this study demonstrates its accuracy for the characterization of dystrophinopathy patients. Frontiers Media S.A. 2021-12-07 /pmc/articles/PMC8689184/ /pubmed/34950096 http://dx.doi.org/10.3389/fneur.2021.718396 Text en Copyright © 2021 Gaina, Vossen, Manole, Plesca and Ionica. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Gaina, Gisela Vossen, Rolf H. A. M. Manole, Emilia Plesca, Doina Anca Ionica, Elena Combining Protein Expression and Molecular Data Improves Mutation Characterization of Dystrophinopathies |
title | Combining Protein Expression and Molecular Data Improves Mutation Characterization of Dystrophinopathies |
title_full | Combining Protein Expression and Molecular Data Improves Mutation Characterization of Dystrophinopathies |
title_fullStr | Combining Protein Expression and Molecular Data Improves Mutation Characterization of Dystrophinopathies |
title_full_unstemmed | Combining Protein Expression and Molecular Data Improves Mutation Characterization of Dystrophinopathies |
title_short | Combining Protein Expression and Molecular Data Improves Mutation Characterization of Dystrophinopathies |
title_sort | combining protein expression and molecular data improves mutation characterization of dystrophinopathies |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8689184/ https://www.ncbi.nlm.nih.gov/pubmed/34950096 http://dx.doi.org/10.3389/fneur.2021.718396 |
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