Back

Generation and characterization of a novel mouse model of Becker Muscular Dystrophy with a deletion of exons 52 to 55

Perillat, L. O. M.; Wong, T. W. Y.; Maino, E.; Ahmed, A.; Hyatt, E.; Scott, O.; Delgado Olguin, P.; Ivakine, E. A.; Cohn, R. D.

2023-11-17 genetics
10.1101/2023.11.16.567440 bioRxiv
Show abstract

Becker Muscular Dystrophy (BMD) is a rare X-linked recessive neuromuscular disorder caused by in-frame deletions in the DMD gene that result in the production of a truncated, yet functional, dystrophin protein. BMD is often considered a milder form of Duchenne Muscular Dystrophy, in which mutations typically result in the disruption of the reading frame and the malfunction or loss of dystrophin. The consequences of BMD-causing in-frame deletions on the organism are more difficult to predict, especially in regard to long-term prognosis. Here, we employed CRISPR-Cas9 technology to generate a new Dmd del52-55 mouse model by deleting exons 52-55, resulting in a typical BMD-like in-frame deletion. To delineate the long-term effects of this deletion, we studied these mice over 52 weeks. Our results suggest that a truncated dystrophin is sufficient to maintain wildtype-like muscle and heart functions in young mice. However, the truncated protein appears insufficient to maintain normal muscle homeostasis and protect against exercise-induced damage at 52 weeks. To further delineate the effects of the exons 52-55 in-frame deletion, we performed RNA-Seq pre- and post-exercise and identified several differentially expressed pathways that could explain the abnormal muscle phenotype observed at 52 weeks in the BMD model. Summary StatementWe generated and characterized the long-term effects of a Becker Muscular Dystrophy-like in-frame deletion of exon 52 to 55 in mice.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

1
Disease Models & Mechanisms
119 papers in training set
Top 0.1%
39.5%
2
Human Molecular Genetics
141 papers in training set
Top 0.1%
10.6%
50% of probability mass above
3
Journal of Cachexia, Sarcopenia and Muscle
33 papers in training set
Top 0.1%
5.5%
4
eLife
5828 papers in training set
Top 24%
5.2%
5
JCI Insight
277 papers in training set
Top 3%
2.1%
6
International Journal of Molecular Sciences
494 papers in training set
Top 7%
1.9%
7
Scientific Reports
3612 papers in training set
Top 54%
1.7%
8
Skeletal Muscle
17 papers in training set
Top 0.1%
1.7%
9
Frontiers in Genetics
230 papers in training set
Top 3%
1.4%
10
Aging Cell
165 papers in training set
Top 2%
1.4%
11
Journal of Anatomy
29 papers in training set
Top 0.3%
1.3%
12
PLOS ONE
5266 papers in training set
Top 53%
1.3%
13
iScience
1154 papers in training set
Top 23%
1.3%
14
G3: Genes, Genomes, Genetics
252 papers in training set
Top 3%
1.3%
15
Frontiers in Cell and Developmental Biology
233 papers in training set
Top 4%
1.0%
16
The Journal of Physiology
150 papers in training set
Top 2%
1.0%
17
Life Science Alliance
285 papers in training set
Top 7%
0.9%
18
Physiological Reports
40 papers in training set
Top 1%
0.8%
19
PLOS Genetics
862 papers in training set
Top 12%
0.8%
20
Cells
249 papers in training set
Top 7%
0.8%
21
Frontiers in Physiology
106 papers in training set
Top 3%
0.8%
22
The FASEB Journal
194 papers in training set
Top 6%
0.8%
23
Neurobiology of Disease
148 papers in training set
Top 4%
0.6%
24
American Journal of Physiology-Cell Physiology
39 papers in training set
Top 1.0%
0.6%
25
JACC: Basic to Translational Science
21 papers in training set
Top 0.9%
0.6%
26
Journal of Experimental Zoology Part B: Molecular and Developmental Evolution
22 papers in training set
Top 0.5%
0.6%
27
Journal of Molecular and Cellular Cardiology
40 papers in training set
Top 0.7%
0.6%