SperMD

SperMD consolidates multi-omics datasets for human and mouse sperm maturation to enable analysis of transcriptional, translational, and metabolic changes across the epididymal microenvironment, cellular constituents, and pathological states.

Key Features:

• Multi-omics integration: Integrates heterogeneous omics data including 170 transcriptomes, 91 proteomes, and five human metabolomes from human and mouse.
• Cross-species comparison: Provides a unified framework that enables molecular comparison between human and mouse sperm maturation datasets.
• Tissue and cellular context: Covers tissue components of the epididymal microenvironment and cellular constituents relevant to sperm maturation.
• Pathological state coverage: Includes datasets representing various pathological states affecting sperm maturation.
• Multi-layer molecular coverage: Captures transcriptional, translational, and metabolic changes occurring during sperm development.
• Gene-function characterization: Supports systematic characterization of gene functions in sperm maturation.
• Biomarker and target prioritization: Facilitates prioritization of biomarkers and therapeutic targets relevant to male subfertility and clinical chemistry.

Scientific Applications:

• Comparative biology: Comparative analysis of molecular events in sperm maturation between human and mouse.
• Functional genomics: Systematic characterization of gene functions involved in sperm development and maturation.
• Biomarker discovery: Identification and prioritization of biomarkers and therapeutic targets for male subfertility.
• Pathophysiology studies: Investigation of transcriptional, translational, and metabolic alterations in pathological states of sperm maturation.

Methodology:

Consolidates and integrates heterogeneous omics datasets (170 transcriptomes, 91 proteomes, five human metabolomes) from human and mouse into a unified framework for cross-species molecular comparison, gene-function characterization, and biomarker prioritization.