| Literature DB >> 32325033 |
Reza Pourhaghighi1, Peter E A Ash2, Sadhna Phanse3, Florian Goebels1, Lucas Z M Hu1, Siwei Chen4, Yingying Zhang4, Shayne D Wierbowski4, Samantha Boudeau2, Mohamed T Moutaoufik5, Ramy H Malty5, Edyta Malolepsza6, Kalliopi Tsafou6, Aparna Nathan6, Graham Cromar7, Hongbo Guo1, Ali Al Abdullatif2, Daniel J Apicco2, Lindsay A Becker8, Aaron D Gitler8, Stefan M Pulst9, Ahmed Youssef10, Ryan Hekman11, Pierre C Havugimana12, Carl A White11, Benjamin C Blum11, Antonia Ratti13, Camron D Bryant2, John Parkinson7, Kasper Lage6, Mohan Babu5, Haiyuan Yu4, Gary D Bader1, Benjamin Wolozin14, Andrew Emili15.
Abstract
Connectivity webs mediate the unique biology of the mammalian brain. Yet, while cell circuit maps are increasingly available, knowledge of their underlying molecular networks remains limited. Here, we applied multi-dimensional biochemical fractionation with mass spectrometry and machine learning to survey endogenous macromolecules across the adult mouse brain. We defined a global "interactome" comprising over one thousand multi-protein complexes. These include hundreds of brain-selective assemblies that have distinct physical and functional attributes, show regional and cell-type specificity, and have links to core neurological processes and disorders. Using reciprocal pull-downs and a transgenic model, we validated a putative 28-member RNA-binding protein complex associated with amyotrophic lateral sclerosis, suggesting a coordinated function in alternative splicing in disease progression. This brain interaction map (BraInMap) resource facilitates mechanistic exploration of the unique molecular machinery driving core cellular processes of the central nervous system. It is publicly available and can be explored here https://www.bu.edu/dbin/cnsb/mousebrain/.Entities:
Keywords: ALS; BraInMap; TDP-43; cofractionation/mass spectometry; complexosome; interaction network; machine learning; neurodegeneration; protein-protein interaction
Year: 2020 PMID: 32325033 PMCID: PMC7938770 DOI: 10.1016/j.cels.2020.03.003
Source DB: PubMed Journal: Cell Syst ISSN: 2405-4712 Impact factor: 10.304