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Lineage Landscape: a comprehensive database that records lineage commitment across species.
Haoteng Yan1,2,3,4,5,6, Ronghao Wang7, Shuai Ma2,4,5
1Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing 100053, China.
Nucleic Acids Research
|October 28, 2022
Summary
Lineage Landscape is a new database integrating multi-omic data for cell lineage development across species. It offers comprehensive, open-access information for researchers studying developmental biology and evolution.
Area of Science:
- Developmental Biology
- Genomics
- Epigenetics
Background:
- Cell lineage commitment is fundamental to mammalian embryonic development and organogenesis.
- Understanding lineage differentiation across species requires integrated multi-omic data.
Purpose of the Study:
- To construct a comprehensive database, Lineage Landscape, integrating transcriptomic and epigenomic information for lineage development.
- To provide researchers with open-access data for exploring dynamic gene expression and epigenetic changes during lineage differentiation.
Main Methods:
- Compiled and analyzed transcriptomic (single-cell and bulk) and epigenomic (DNA methylation, histone modifications, chromatin accessibility) data.
- Integrated datasets across multiple species, developmental stages (embryonic, fetal, adult, aged), and organs.
- Developed a platform for visualization and exploration of lineage-related data.
Main Results:
- Lineage Landscape includes over 6.6 million cells, 15 million differentially expressed genes, and 36 million data entries.
- The database covers 10 species and 34 organs, providing a broad scope for comparative analysis.
- Users can explore dynamic gene expression and epigenetic patterns at various stages of lineage development.
Conclusions:
- Lineage Landscape serves as a valuable, open-access resource for the life science community.
- The database facilitates research into the formation and maintenance of cell lineages and living organisms.
- Enables deeper understanding of transcriptional and epigenetic regulation during development.
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