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The codon sequences predict protein lifetimes and other parameters of the protein life cycle in the mouse brain
- 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.
- Subjects :
- 0301 basic medicine
mouse brain
protein life cycle
lcsh:Medicine
Nerve Tissue Proteins
Biology
Proteomics
metabolism [RNA, Messenger]
Article
Mice
genetics [RNA, Messenger]
03 medical and health sciences
0302 clinical medicine
In vivo
Animals
Nucleotide
Amino Acid Sequence
RNA, Messenger
Amino Acids
lcsh:Science
Codon
genetics [Nerve Tissue Proteins]
genetics [Amino Acids]
chemistry.chemical_classification
Base Composition
Messenger RNA
Multidisciplinary
Base Sequence
Nucleotides
lcsh:R
genetics [Codon]
Brain
Translation (biology)
In vitro
Amino acid
Cell biology
genetics [Nucleotides]
030104 developmental biology
chemistry
metabolism [Brain]
Proteome
Proteostasis
lcsh:Q
genetics [Base Composition]
chemistry [Nerve Tissue Proteins]
ddc:600
030217 neurology & neurosurgery
Subjects
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