Muscle Gene Sets

Muscle Gene Sets provides a structured collection of 1,156 gene sets derived from differential expression analyses to support functional genomics and enrichment testing in neuromuscular research.

Key Features:

• Systematic Hypothesis Testing: Enables systematic testing across large collections of gene sets to assess polygenic effects in complex neuromuscular diseases.
• Data Integration and Quality Control: Integrates gene expression profiles from 4,305 muscle samples with pre-processing that removed 282 samples failing global quality controls.
• Identification of Dysregulated Genes: Uses text mining and manual curation to define 578 comparisons and identifies significantly dysregulated genes (FDR adjusted p < 0.05) categorized into upregulated and downregulated sets, producing 1,156 Muscle Gene Sets (MGS).
• Consensus Gene Sets: Generates consensus gene sets by capturing overlaps between similar studies to highlight recurrent disease-relevant signals.

Scientific Applications:

• Enrichment Testing: Serves as a gene set collection for enrichment testing in functional genomics analyses of muscle conditions.
• Gene List Behavior Analysis: Enables investigation of the behavior of any gene list across previously profiled muscle condition comparisons.
• Comparative Study Analysis: Facilitates comparison of different studies to identify commonalities and differences in muscle dysregulation.
• Gene Ontology Association: Supports exploration of relationships between muscle dysregulation and Gene Ontology terms.

Methodology:

Integration of gene expression profiles from 4,305 muscle samples with pre-processing and global quality control removing 282 samples; identification of 578 comparisons by text mining and manual curation; differential expression analysis using significance threshold FDR adjusted p < 0.05 to define upregulated and downregulated genes yielding 1,156 gene sets; creation of consensus gene sets by overlapping similar studies.