Allen Brain Atlas

1. Access the SEA-AD atlas within the Allen Brain Atlas.

2. Identify differentially expressed genes in specific cell types in Alzheimer's patients compared to healthy controls.

3. Prioritize genes based on their expression levels and potential druggability.

4. Validate the role of candidate genes in disease pathology using in vitro and in vivo models.

1. Access the Developing Mouse Atlas.

2. Select a specific developmental stage.

3. Search for genes of interest.

4. Visualize gene expression patterns in the atlas.

5. Download gene expression data for quantitative analysis.

1. Access the Mouse Connectivity Atlas.

2. Select a region of interest in the visual cortex.

3. Explore connectivity matrices and network diagrams.

4. Identify upstream and downstream brain regions.

5. Download connectivity data for further analysis.

1. Access the Human Brain Atlas.

2. Explore cell type taxonomies.

3. Analyze gene expression profiles of different cell types.

4. Identify marker genes for specific cell types.

5. Compare cell type composition across different brain regions.

1. Upload a list of differentially expressed genes from an RNA-seq experiment.

2. Query the Allen Brain Atlas for the spatial expression patterns of these genes.

3. Compare the observed expression changes with the atlas data to validate the findings.

4. Identify brain regions where the genes are most significantly dysregulated.

1. Access the Allen Brain Atlas data on neuronal connectivity and cell types.

2. Use the data to parameterize computational models of brain circuits.

3. Simulate circuit activity and compare model predictions with experimental data.

4. Refine the model based on the comparison to improve its accuracy and predictive power.