Regeneration Roadmap

Regeneration Roadmap aggregates and standardizes high-throughput omics datasets to enable comparative and mechanistic analysis of regeneration-related genes, bulk and single-cell transcriptomics, epigenomics, and pharmacogenomics across species and tissues for studies of development, damage repair, and aging.

Key Features:

• Extensive Data Collection: Systematically compiles over 2.38 million data entries spanning 11 species and 36 tissues, including regeneration-related genes, bulk and single-cell transcriptomics, epigenomics, and pharmacogenomics.
• Modular Structure: Organized into five modules: Regeneration-related Genes; Transcriptomics (bulk); Single-cell Transcriptomics; Epigenomics; and Pharmacogenomics.
• Integration and Standardization: Integrates and standardizes datasets from diverse high-throughput sequencing and omics sources to enable consistent downstream analysis.
• Cross-Species and Tissue Analysis: Enables investigation of regulatory and expression changes of regeneration-associated genes across species and tissues to facilitate comparative studies and identification of conserved mechanisms.
• Computing and Visualization Tools: Provides computing and visualization tools for analysis and interpretation of complex omics datasets.

Scientific Applications:

• Mechanistic Studies: Elucidate molecular mechanisms underlying regeneration using integrated omics data.
• Aging and Species-Specific Capacity: Investigate species-specific regenerative capacities and their decline with age.
• Therapeutic Exploration: Explore pharmacogenomic and other therapeutic strategies to promote regeneration and delay aging.
• Comparative Analysis: Conduct cross-species comparisons to identify universal and unique regenerative pathways.

Methodology:

Systematic collection and integration of high-throughput sequencing and omics datasets from diverse sources and standardization of these datasets for analysis.