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The codon sequences predict protein lifetimes and other parameters of the protein life cycle in the mouse brain

Authors :
Tonatiuh Pena Centeno
Koray Kirli
Sunit Mandad
Inga Urban
Hanna Wildhagen
Ramon O. Vidal
Eva Benito
Burkhard Rammner
Eugenio F. Fornasiero
Andre Fischer
Peter Rehling
Ivo Feussner
Sven Dennerlein
Roya Yousefi
Till Ischebeck
Stefan Bonn
Sarva Keihani
Raza-Ur Rahman
Felipe Opazo
Henning Urlaub
Silvio O. Rizzoli
Source :
Scientific reports 8(1), 16913 (2018). doi:10.1038/s41598-018-35277-8, Scientific Reports, Scientific Reports, Vol 8, Iss 1, Pp 1-19 (2018)
Publication Year :
2018
Publisher :
Springer Science and Business Media LLC, 2018.

Abstract

The homeostasis of the proteome depends on the tight regulation of the mRNA and protein abundances, of the translation rates, and of the protein lifetimes. Results from several studies on prokaryotes or eukaryotic cell cultures have suggested that protein homeostasis is connected to, and perhaps regulated by, the protein and the codon sequences. However, this has been little investigated for mammals in vivo. Moreover, the link between the coding sequences and one critical parameter, the protein lifetime, has remained largely unexplored, both in vivo and in vitro. We tested this in the mouse brain, and found that the percentages of amino acids and codons in the sequences could predict all of the homeostasis parameters with a precision approaching experimental measurements. A key predictive element was the wobble nucleotide. G-/C-ending codons correlated with higher protein lifetimes, protein abundances, mRNA abundances and translation rates than A-/U-ending codons. Modifying the proportions of G-/C-ending codons could tune these parameters in cell cultures, in a proof-of-principle experiment. We suggest that the coding sequences are strongly linked to protein homeostasis in vivo, albeit it still remains to be determined whether this relation is causal in nature.

Details

ISSN :
20452322
Volume :
8
Database :
OpenAIRE
Journal :
Scientific Reports
Accession number :
edsair.doi.dedup.....7f8053206ebad3943d03283d680a31da
Full Text :
https://doi.org/10.1038/s41598-018-35277-8