Lineage Landscape

Lineage Landscape integrates multi-omic data to enable comparative analysis of cell lineage commitment and differentiation across multiple species, with emphasis on mammalian embryonic development.

Key Features:

• Multi-Omic Integration: Integrates transcriptomic and epigenomic datasets including single-cell gene expression, bulk transcriptomics, DNA methylation, histone modifications, and chromatin accessibility.
• Extensive Coverage: Contains over 6.6 million cells, 15 million differentially expressed genes, and 36 million data entries spanning 10 species and 34 organs across developmental stages.
• Dynamic Expression Analysis: Enables investigation of genes with dynamic transcriptional and epigenetic expression patterns across developmental stages.

Scientific Applications:

• Developmental biology: Supports analysis of lineage-specific gene expression and epigenetic modifications during embryonic to aged stages across species and organs.
• Genetics and epigenetics: Facilitates interrogation of differential expression, DNA methylation, histone modification, and chromatin accessibility in lineage commitment.
• Regenerative medicine and disease modeling: Aids identification of molecular changes underlying cell differentiation and organogenesis relevant to regeneration and disease studies.

Methodology:

Compiles and analyzes diverse multi-omic datasets, integrates data across transcriptomic and epigenomic layers, and provides visualizations to represent molecular changes during cell lineage commitment.