Precisely measured protein lifetimes in the mouse brain reveal differences across tissues and subcellular fractions. Issue 1 (December 2018)

• Record Type: Journal Article
• Authors: Fornasiero, Eugenio; Mandad, Sunit; Wildhagen, Hanna; Alevra, Mihai; Rammner, Burkhard; Keihani, Sarva; Opazo, Felipe; Urban, Inga; Ischebeck, Till; Sakib, M.; Fard, Maryam; Kirli, Koray; Centeno, Tonatiuh; Vidal, Ramon; Rahman, Raza-Ur; Benito, Eva; Fischer, André; Dennerlein, Sven; Rehling, Peter; Feussner, Ivo; Bonn, Stefan; Simons, Mikael; Urlaub, Henning; Rizzoli, Silvio
• Is Part Of: Nature communications. Volume 9:Issue 1(2018)
• Page Start: 1
• Page End: 17
• Publication Date: 2018-12
• Subjects: Biology -- Periodicals; Physical sciences -- Periodicals; 505
• DOI: 10.1038/s41467-018-06519-0
• Languages: English
• ISSNs: 2041-1723

Abstract

Abstract The turnover of brain proteins is critical for organism survival, and its perturbations are linked to pathology. Nevertheless, protein lifetimes have been difficult to obtain in vivo. They are readily measured in vitro by feeding cells with isotopically labeled amino acids, followed by mass spectrometry analyses. In vivo proteins are generated from at least two sources: labeled amino acids from the diet, and non-labeled amino acids from the degradation of pre-existing proteins. This renders measurements difficult. Here we solved this problem rigorously with a workflow that combines mouse in vivo isotopic labeling, mass spectrometry, and mathematical modeling. We also established several independent approaches to test and validate the results. This enabled us to measure the accurate lifetimes of ~3500 brain proteins. The high precision of our data provided a large set of biologically significant observations, including pathway-, organelle-, organ-, or cell-specific effects, along with a comprehensive catalog of extremely long-lived proteins (ELLPs). Measuring precise protein turnover rates in animals is technically challenging at the proteomic level. Here, Fornasiero and colleagues use isotopic labeling with mass spectrometry and mathematical modeling to accurately determine protein lifetimes in the mouse brain