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  Dynamic SILAC to Determine Protein Turnover in Neurons and Glia

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.

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 Creators:
Dörrbaum, Aline R.1, Author           
Schuman, Erin M.1, Author                 
Langer, Julian D1, 2, Author
Affiliations:
1Synaptic Plasticity Department, Max Planck Institute for Brain Research, Max Planck Society, ou_2461710              
2Max Planck Institute of Biophysics, Frankfurt am Main, Germany, ou_persistent22              

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Free keywords: Dynamic SILAC; Glia; Mass spectrometry; Neurons; Protein degradation; Protein synthesis; Protein turnover; SILAC.
 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.

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Language(s): eng - English
 Dates: 2022-11-13
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/978-1-0716-2863-8_1
PMID: 36370266
 Degree: -

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Title: Methods Mol. Biol.
  Other : Methods Mol. Biol.
Source Genre: Journal
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Publ. Info: US : Springer
Pages: - Volume / Issue: 2603 Sequence Number: - Start / End Page: 1 - 17 Identifier: ISSN: 1064-3745
CoNE: https://pure.mpg.de/cone/journals/resource/954927725544