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  Local and global influences on protein turnover in neurons and glia

Dörrbaum, A. R., Kochen, L., Langer, J. D., & Schuman, E. (2018). Local and global influences on protein turnover in neurons and glia. eLife, 7. doi:10.7554/eLife.34202.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0002-748A-0 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-748B-F
Genre: Journal Article

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 Creators:
Dörrbaum, Aline R.1, 2, Author
Kochen, Lisa1, Author
Langer, Julian David1, 3, Author
Schuman, Erin1, Author
Affiliations:
1Max Planck Institute for Brain Research, Max Planck Society, Max-von-Laue-Str. 4, 60438 Frankfurt am Main, DE, ou_2461692              
2Goethe University, Frankfurt Germany, ou_persistent22              
3Max Planck Institute of Biophysics, Frankfurt Germany, ou_persistent22              

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Free keywords: hippocampus; protein turnover; proteomics; cell biology; neuron-glia interactions; neuroscience; rat
 Abstract: Regulation of protein turnover allows cells to react to their environment and maintain homeostasis. Proteins can show different turnover rates in different tissue, but little is known about protein turnover in different brain cell types. We used dynamic SILAC to determine half-lives of over 5100 proteins in rat primary hippocampal cultures as well as in neuron-enriched and glia-enriched cultures ranging from <1 to >20 days. In contrast to synaptic proteins, membrane proteins were relatively shorter-lived and mitochondrial proteins were longer-lived compared to the population. Half-lives also correlate with protein functions and the dynamics of the complexes they are incorporated in. Proteins in glia possessed shorter half-lives that the same proteins in neurons. The presence of glia sped up or slowed down the turnover of neuronal proteins. Our results demonstrate that both the cell-type of origin as well as the nature of the extracellular environment have potent influences on protein turnover.

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 Dates: 2018-06-19
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.7554/eLife.34202
PMID: 29914620
PII: e34202
PMC: PMC6008053
 Degree: -

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Title: eLife
Source Genre: Journal
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Publ. Info: Cambridge : eLife Sciences Publications
Pages: - Volume / Issue: 7 Sequence Number: - Start / End Page: - Identifier: ISSN: 2050-084X
CoNE: https://pure.mpg.de/cone/journals/resource/2050-084X