GEO series
Transcriptomic Profile of Skeletal Muscle Biopsies from Duchenne and Becker Muscular Dystrophy Patients
GSE291383
Homo sapiens
Expression profiling by high throughput sequencing
18 samples
2025/07/30
GPL21697
Summary
The complexity of RNA metabolism has become crucial in neuromuscular diseases, especially for Duchenne Muscular Dystrophy (DMD) and Becker Muscular Dystrophy (BMD). DMD is associated with mutations in Dystrophin gene that disrupt the protein reading frame causing premature stop codons. In contrast, patients with BMD usually have in-frame deletions that maintain the correct reading frame. Our goal is to search for possible pathways that differs between the two diseases, in which DMD develop a severe phenotype compared to BMD. Here we aimed to evaluate the transcriptomic profile in muscle biopsy of DMD and BMD patients. We collected RNA obtained from muscle biopsy of pediatric DMD patients (n=12) and BMD patients (n=6). Through RNA sequencing, the differentially expressed (DE) genes of DMD patients versus BMD patients were analyzed. Through principal component analysis (PCA), we were able to identify a clear difference between the two groups based on gene expression pattern. DMD patients compared to BMD patients showed a particular activation of genes involved in collagen synthesis, extracellular matrix organization, and oncostatin M-dependent pathways, which plays an important role in the fibrosis process. This suggests that a more severe phenotype in DMD than BMD patients may be due to greater deregulation of these pathways, reflecting the clinical picture of patients observed. Furthermore mRNAs expression levels evaluated by RT-qPCR confirmed RNA-seq data. Enrichment pathways analysis revealed the strong alteration in collagen synthesis and extracellular matrix organization, suggesting different severity degree in the establishment of fibrotic processes. All the collagen genes validated by RT-qPCR were strongly upregulated in DMD patients. This study provides preliminary insights into the difference in gene expression between the two groups and lays the basis for the identification of possible mechanism that differentiate between the two diseases.
Download
NCBI GEO page ↗
{# Names what the click gives you. "Open in finder" meant nothing to a
visitor who arrived from a search engine and has never seen the tool. #}
Find more
human RNA-seq datasets →
Similar datasets
- GSE328275 Single-cell RNA sequencing of CD45+ immune cells across primary tumor, sentinel tumor-draining lymph node, and axillary lymph node in treatment-naive triple-negative breast cancer 28 samples
- GSE341753 Cohesin loading at regulatory elements shapes 3D genome folding during erythropoiesis [RNA-Seq] 12 samples
- GSE319969 Spatial and Bulk Transcriptomic Profiling Defines the Molecular Evolution of Cutaneous Squamous Cell Carcinoma and Reveals Stage-Specific Biomarkers of Clinical Relevance [RNA-Seq] 24 samples
- GSE313035 METIMMOX: Colorectal Cancer METastasis - Shaping Anti-tumor IMMunity by OXaliplatin 67 samples
- GSE342462 Integrated transcriptomic and bioelectrical profiling of stem-like cellular states in a colorectal cancer using SdFFF and UHF-DEP 12 samples
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples
- GSE199939 Comprehensive transcriptomic analysis of immune-related genes in diabetic foot ulcers: New insights into mechanisms and therapeutic targets 21 samples
- GSE336982 Obesity Promotes Lung Carcinogenesis Through Airway Immune Dysfunction 183 samples
Share this dataset
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.