Model AD Explorer Resources

About the Model AD Explorer

The Model AD Explorer shares summaries of phenotypic data for mouse models of Alzheimer’s Disease generated by the MODEL-AD consortium.

The Model AD Explorer is funded by the National Institute on Aging. It is developed and maintained by Sage Bionetworks.

If you have questions, suggestions, or feedback about the Model AD Explorer or this documentation, please let us know here.

Acknowledging the Model AD Explorer

We encourage you to use the data and insights presented in the Model AD Explorer to help you select the appropriate mouse model for your research, and request that you include the following acknowledgement statement(s) when publicly presenting work that benefited from their use.
 

Data and Methods

The following sections provide information and links about the results presented in the Model AD Explorer:

• Mouse Model Phenotyping

• Gene Expression Analysis

• Disease Correlation Analysis

Mouse Model Phenotyping

The following table provides links for each of the mouse models presented in the Model AD Explorer. Use these links to access the supporting study and methods documentation, as well as the available data and metadata files, in the AD Knowledge Portal.

Gene Expression Analysis

RNA sequencing data from multiple studies was processed using a common workflow to generate harmonized data that is consistent across models. The data was aligned to the GRCm39 reference genome (Ensembl release 112), which was customized to account for human transgenes inserted with CRISPR-Cas9 gene editing.

For presentation of the resulting harmonized data in the Model AD Explorer, p-values were rounded to 5 decimal places for display. This results in display values of 0 for very small p-values.

The following table provides links to the supporting study and methods documentation, as well as all of the available data and metadata files, in the AD Knowledge Portal.

Disease Correlation Analysis

Mouse differential gene expression data used in the Disease Correlation analysis was generated based on a Nanostring Mouse AD Gene Expression panel. Log2 fold change was computed for each combination of model, sex, and age in comparison to C57BL/6J.

Human differential gene expression data was derived from a harmonized RNAseq analysis from three human postmortem brain cohorts that were analyzed as part of the Accelerating Medicines Partnership in AD (AMP-AD) program.

The following table provides links to the supporting study and methods documentation, as well as all of the available data and metadata files, in the AD Knowledge Portal.