All data displayed on this website are available for download, including the ADNeuronNet source tables, supporting datasets, and underlying raw mass-spectrometry. To download interaction subsets for specific genes, use the gene-filtering tools below. Please contact us if you have trouble accessing the data or identify any errors or inconsistencies.
This table contains aggregated metadata for all tagged proteins in the ADNeuronNet. Please note that this dataset is pretty much like the one used in the ADNeuronNet paper, but it has been updated to include additional information about the proteins. The original dataset can be found in the publication.
A CRISPRi screen identified more than 500 genetic modifiers of seeding-induced Tau propagation, including the retromer component VPS29 and multiple genes involved in the UFMylation pathway.
Volcano plot source tables are available for all proteins targeted in ADNeuronNet. The filtered tables contain the high-confidence interactions included in the final network, while the complete, unfiltered source data are also available for download.
AlphaFold3 interaction score summary across all modeled protein pairs in ADNeuronNet.
Human Protein Atlas-derived brain-region and cell-line (HCT116 and HEK293) expression table.
GTEx expression table used in the expression comparison panel.
The raw mass spectrometry data includes raw spectra and associated DIA-NN output tables for the complete set of IP-MS experiments, the 68 target pulldowns, including isoforms and alleles. This data was used to generate the ADNeuronNet interactome found in the "ADNeuronNet Interaction Table" above.
Download all the AlphaFold3 predicted structures.
This file contains ADNeuronNet AlphaFold3 model set, including 1,570 predicted human protein-protein interaction models. Each interaction is provided as an mmCIF structure file with accompanying AlphaFold3 JSON output and input metadata, together with a modeling procedure description.
To learn more about AlphaFold3 and how its predictions are generated, visit the AlphaFold3 website.