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Understanding how cells differentiate during embryonic development is invaluable for the derivation of functional cells from stem cells in vitro and for the development of regenerative medicine applications. Mapping the human embryome is an overwhelming challenge including characterization of all the cell types that make up both the developing and mature human body, including embryonic progenitor cell types in between states.
The LifeMap DiscoveryTM database (http://discovery.lifemapsc.com) is taking the lead role towards this effort, providing the research community with viable, scalable, and easy to use data portal describing embryonic development. The data is manually curated from literature, high throughput experiments and large scale datasets. In addition to embryonic development information, the database provides substantial information about stem and progenitor cells, their differentiation protocols and cell therapy applications.
The database has been modeled to integrate data from the in vivo and the in vitro, including gene expression and signaling information which, in developing cells, is essential for stem cells identification and classification. Furthermore, this information can be used to match stem cells and their derived cells to similar in vivo cells, and to enable the development of novel differentiation protocols and therapeutic products.
GeneAnalyticsTM, the gene analysis tool, supports analysis of multiple genes and applies a novel algorithm to match gene sets to tissues and cells within the database.
The value provided by LifeMap Discovery originates from the combined power of this data, which enables identifying, predicting and indicating possible differentiation paths and future regenerative medicine applications. LifeMap Discovery integrates with the more elemental database GeneCards where rich information is available at the gene level, and MalaCards, that provides human disease information.