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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. M. (2018). Local and global influences on protein turnover in neurons and glia. eLife, 7: e34202. doi:10.7554/eLife.34202.

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 Creators:
Dörrbaum, Aline Ricarda1, 2, Author
Kochen, Lisa1, Author
Langer, Julian David1, 3, Author                 
Schuman, Erin Margaret1, Author
Affiliations:
1Synaptic Plasticity Department, Max Planck Institute for Brain Research, Max Planck Society, ou_2461710              
2Faculty of Biological Sciences, Goethe University Frankfurt, Frankfurt, Germany, ou_persistent22              
3Department of Molecular Membrane Biology, Max Planck Institute of Biophysics, Max Planck Society, ou_2068290              

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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 than 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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Language(s): eng - English
 Dates: 2017-12-122018-05-192018-06-19
 Publication Status: Published online
 Pages: 24
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.7554/eLife.34202
 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: e34202 Start / End Page: - Identifier: ISSN: 2050-084X
CoNE: https://pure.mpg.de/cone/journals/resource/2050-084X