Developmental Anatomic Gene Expression Atlas (AGEA)
AGEA is an interactive relational atlas based on spatial correlations of gene expression data for ~2000 genes in the Allen Developing Mouse Brain Atlas.
AGEA for the Developing Mouse Brain is used to understand how voxels of the brain are related by gene expression (Correlation), and to find genes expressed at a particular voxel (Gene Finder). Click on the AGEA tab to get started.
In correlation mode, use the seed selector to select a starting age by clicking on your age of interest. The next three columns will show you the age you selected flanked by the nearest developmental ages. Also shown in the column headers are the structure and location of the selected voxel and the Pearson's correlations (please see Informatics whitepaper available from the Documentation tab).
Select a "seed" voxel using the cross hairs in the left hand column from one of the planes of view. The three columns to the right show correlation maps of how other voxels are related to the seed voxel based upon the gene expression of approximately 2000 genes.
To begin, select an age from the upper left hand corner. Maps of the age-appropriate reference space are show in sagittal, coronal and horizontal planes in the left-most column. Navigate by clicking on a spot in one plane of view; this will appropriately adjust the other planes of view. Click on the maps to position the red crosshairs on the voxel of interest. Maps are only available for one brain hemisphere, shown by the overlay of reference atlas colors on the Nissl reference space.
The correlation maps are shown as heat maps (red is the highest correlation to the seed voxel) with one column for each age. The age chosen with the seed selector is shown, as well as the next youngest and the next oldest ages.
Once a seed is selected and correlation maps are shown, you can retrieve a list of genes enriched in the region correlated to the seed voxel.
First, click on the "Gene Finder" tab. Then click on "Find Genes" for the particular age you are interested in. The result will be a list of genes with thumbnail images showing expression at the relevant region for both the seed age and the correlation map age.
Please refer to the Informatics Data Processing white paper for additional details.