According to the report, this new database allows scientists to search and compare gene expression data at unprecedented detail and scope. Observing how gene expression varies in different cell types, tissues and under disease conditions can help researchers understand gene function and to develop new drugs and therapies.
Although most cells in an organism share the same genetic information, different cell types, for example skin and liver cells, have different properties and functions, largely because different genes are active in these cells. The Gene Expression Atlas is a new database that allows users to query gene expression under a range of biological conditions, including different cell types, developmental stages, physiological states, phenotypes and disease states. The key questions this new database can answer can be summarised as:
Under which conditions is my particular gene of interest expressed?
Which genes are expressed in a particular condition? For example, what genes are specifically active in kidney cells, or how does the expression of genes in leukemic blood differ compared to normal blood?
Both questions can also be combined to focus on particular genes and their role in a specific disease, such as identifying members of the Wnt signalling pathway that are expressed in cancer.
The Atlas collates data from over 1000 different independent studies, mainly microarray experiments, with more than 30,000 samples in total. The new database is the latest product of the EBI's Microarray Informatics group and has its origins in the EBI's ArrayExpress resource. After a phase of development, the Atlas is ready to begin its own life as an independent major resource.
Misha Kapushesky, Atlas project leader at the EBI commented, "While the ArrayExpress Archive makes data from high throughput functional genomics assays available to experts, Gene Expression Atlas presents this information in a format accessible to any biologist. The Atlas takes data directly from the ArrayExpress Archive, which is then enriched by curation, re-annotation and statistical computations before the results are presented to the user in an easily accessible form."