@article{laman_trip_tissue-specific_2025,
	title = {A tissue-specific atlas of protein–protein associations enables prioritization of candidate disease genes},
	issn = {1087-0156, 1546-1696},
	url = {https://www.nature.com/articles/s41587-025-02659-z},
	doi = {10.1038/s41587-025-02659-z},
	abstract = {Abstract 
            Despite progress in mapping protein–protein interactions, their tissue specificity is understudied. Here, given that protein coabundance is predictive of functional association, we compiled and analyzed protein abundance data of 7,811 proteomic samples from 11 human tissues to produce an atlas of tissue-specific protein associations. We find that this method recapitulates known protein complexes and the larger structural organization of the cell. Interactions of stable protein complexes are well preserved across tissues, while cell-type-specific cellular structures, such as synaptic components, are found to represent a substantial driver of differences between tissues. Over 25\% of associations are tissue specific, of which {\textless}7\% are because of differences in gene expression. We validate protein associations for the brain through cofractionation experiments in synaptosomes, curation of brain-derived pulldown data and AlphaFold2 modeling. We also construct a network of brain interactions for schizophrenia-related genes, indicating that our approach can functionally prioritize candidate disease genes in loci linked to brain disorders.},
	language = {en},
	urldate = {2025-05-03},
	journal = {Nature Biotechnology},
	author = {Laman Trip, Diederik S. and Van Oostrum, Marc and Memon, Danish and Frommelt, Fabian and Baptista, Delora and Panneerselvam, Kalpana and Bradley, Glyn and Licata, Luana and Hermjakob, Henning and Orchard, Sandra and Trynka, Gosia and McDonagh, Ellen M. and Fossati, Andrea and Aebersold, Ruedi and Gstaiger, Matthias and Wollscheid, Bernd and Beltrao, Pedro},
	month = may,
	year = {2025},
}