Lama2 Knockout Mouse: Transcriptomics Data for Muscular Dystrophy Research

A Peking University study provides transcriptomics data from a novel Lama2 knockout mouse model (dyH/dyH) for LAMA2-related muscular dystrophy. The data includes single-cell and bulk RNA-seq results from brain and muscle tissues, identifying 2020 differentially expressed genes. Dandan Tan and colleagues created this model using CRISPR-Cas9 to target a human mutation hotspot region.

Use Cases

• Identify cell-type-specific gene expression changes based on scRNA-seq data from mouse brain.
• Analyze pathways related to muscle cytoskeleton and development based on bulk RNA-seq from muscle tissue.
• Validate the role of vascular and leptomeningeal fibroblasts in LAMA2-MD pathogenesis using the provided expression profiles.
• Compare transcriptomic signatures between the novel dyH/dyH model and other existing models of muscular dystrophy.

Strengths

• Includes both single-cell RNA-seq and bulk RNA-seq data, providing resolution at multiple levels.
• Transcriptomic investigation of muscles identified 2020 differentially expressed genes, offering a substantial list for analysis.
• The mouse model was created using CRISPR-Cas9 targeting a specific human mutation hotspot, increasing its translational relevance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Peking University

Collection Method

Data generated from a CRISPR-Cas9 engineered mouse model, with transcriptomics performed via scRNA-seq and bulk RNA-seq.