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Journal Article

Dynamic SILAC to Determine Protein Turnover in Neurons and Glia

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Dörrbaum,  Aline R.
Synaptic Plasticity Department, Max Planck Institute for Brain Research, Max Planck Society;

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Schuman,  Erin M.       
Synaptic Plasticity Department, Max Planck Institute for Brain Research, Max Planck Society;

Langer,  Julian D
Synaptic Plasticity Department, Max Planck Institute for Brain Research, Max Planck Society;
Max Planck Institute of Biophysics, Frankfurt am Main, Germany;

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Citation

Dörrbaum, A. R., Schuman, E. M., & Langer, J. D. (2022). Dynamic SILAC to Determine Protein Turnover in Neurons and Glia. Methods Mol. Biol., 2603, 1-17. doi:10.1007/978-1-0716-2863-8_1.


Cite as: https://hdl.handle.net/21.11116/0000-000D-4965-0
Abstract
Cellular protein turnover-the net result of protein synthesis and degradation-is crucial to maintain protein homeostasis and cellular function under steady-state conditions and to enable cells to remodel their proteomes upon a perturbation. In brain cells, proteins are continuously turned over at different rates depending on various factors including cell type, subcellular localization, cellular environment, and neuronal activity. Here we describe a workflow for the analysis of protein synthesis, degradation, and turnover in primary cultured rat neurons and glia using dynamic/pulsed SILAC and mass spectrometry.