Interactome Mapping Provides a Network of Neurodegenerative Disease Proteins and Uncovers Widespread Protein Aggregation in Affected Brains
- Cell Rep. 2020 Aug 18;32(7):108050. doi: 10.1016/j.celrep.2020.108050.
- 1. Neuroproteomics, Max Delbrück Center for Molecular Medicine, 13125 Berlin, Germany.
- 2. School of Computer Science, Tel-Aviv University, Tel-Aviv 69978, Israel.
- 3. Department of Cell and Molecular Biology, St. Jude Children's Research Hospital, Memphis, TN 38105-3678, USA.
- 4. Division of Computational Biology and Data Mining, Max Delbrück Center for Molecular Medicine, 13125 Berlin, Germany; Computational Cancer Biology, European Institute of Oncology, 20141 Milano, Italy.
- 5. DZNE Tübingen and Eberhard Karls Universität Tübingen, 72076 Tübingen, Germany.
- 6. Division of Computational Biology and Data Mining, Max Delbrück Center for Molecular Medicine, 13125 Berlin, Germany; Institute of Organismic and Molecular Evolution, Johannes Gutenberg University of Mainz, 55122 Mainz, Germany.
- 7. Neuroproteomics, Max Delbrück Center for Molecular Medicine, 13125 Berlin, Germany; EMBL-EBI, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK.
- 8. Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP) im Forschungsverbund Berlin e.V., 13125 Berlin, Germany.
- 9. Department of Cell and Molecular Biology, St. Jude Children's Research Hospital, Memphis, TN 38105-3678, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815-6789, USA.
- 10. School of Computer Science, Tel-Aviv University, Tel-Aviv 69978, Israel. Electronic address: [email protected].
- 11. Neuroproteomics, Max Delbrück Center for Molecular Medicine, 13125 Berlin, Germany. Electronic address: [email protected].
Interactome maps are valuable resources to elucidate protein function and disease mechanisms. Here, we report on an interactome map that focuses on neurodegenerative disease (ND), connects ∼5,000 human proteins via ∼30,000 candidate interactions and is generated by systematic yeast two-hybrid interaction screening of ∼500 ND-related proteins and integration of literature interactions. This network reveals interconnectivity across diseases and links many known ND-causing proteins, such as α-synuclein, TDP-43, and ATXN1, to a host of proteins previously unrelated to NDs. It facilitates the identification of interacting proteins that significantly influence mutant TDP-43 and HTT toxicity in transgenic flies, as well as of ARF-GEP100 that controls misfolding and aggregation of multiple ND-causing proteins in experimental model systems. Furthermore, it enables the prediction of ND-specific subnetworks and the identification of proteins, such as ATXN1 and MKL1, that are abnormally aggregated in postmortem brains of Alzheimer's disease patients, suggesting widespread protein aggregation in NDs.