Home > Publications Database > The codon sequences predict protein lifetimes and other parameters of the protein life cycle in the mouse brain. > print

001     140337
005     20240321220806.0
024 7 _ |a 10.1038/s41598-018-35277-8
|2 doi
024 7 _ |a pmid:30443017
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024 7 _ |a pmc:PMC6237891
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037 _ _ |a DZNE-2020-06659
041 _ _ |a English
082 _ _ |a 600
100 1 _ |a Mandad, Sunit
|b 0
245 _ _ |a The codon sequences predict protein lifetimes and other parameters of the protein life cycle in the mouse brain.
260 _ _ |a [London]
|c 2018
|b Macmillan Publishers Limited, part of Springer Nature
264 _ 1 |3 online
|2 Crossref
|b Springer Science and Business Media LLC
|c 2018-11-15
264 _ 1 |3 print
|2 Crossref
|b Springer Science and Business Media LLC
|c 2018-12-01
336 7 _ |a article
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336 7 _ |a Output Types/Journal article
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336 7 _ |a Journal Article
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336 7 _ |a ARTICLE
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336 7 _ |a Journal Article
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520 _ _ |a 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.
536 _ _ |a 342 - Disease Mechanisms and Model Systems (POF3-342)
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542 _ _ |i 2018-11-15
|2 Crossref
|u https://creativecommons.org/licenses/by/4.0
588 _ _ |a Dataset connected to CrossRef, PubMed,
650 _ 7 |a Amino Acids
|2 NLM Chemicals
650 _ 7 |a Codon
|2 NLM Chemicals
650 _ 7 |a Nerve Tissue Proteins
|2 NLM Chemicals
650 _ 7 |a Nucleotides
|2 NLM Chemicals
650 _ 7 |a RNA, Messenger
|2 NLM Chemicals
650 _ 2 |a Amino Acid Sequence
|2 MeSH
650 _ 2 |a Amino Acids: genetics
|2 MeSH
650 _ 2 |a Animals
|2 MeSH
650 _ 2 |a Base Composition: genetics
|2 MeSH
650 _ 2 |a Base Sequence
|2 MeSH
650 _ 2 |a Brain: metabolism
|2 MeSH
650 _ 2 |a Codon: genetics
|2 MeSH
650 _ 2 |a Mice
|2 MeSH
650 _ 2 |a Nerve Tissue Proteins: chemistry
|2 MeSH
650 _ 2 |a Nerve Tissue Proteins: genetics
|2 MeSH
650 _ 2 |a Nucleotides: genetics
|2 MeSH
650 _ 2 |a Proteostasis
|2 MeSH
650 _ 2 |a RNA, Messenger: genetics
|2 MeSH
650 _ 2 |a RNA, Messenger: metabolism
|2 MeSH
700 1 _ |a Rahman, Raza-Ur
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700 1 _ |a Pena Centeno, Tonatiuh
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700 1 _ |a Vidal, Ramon O
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700 1 _ |a Wildhagen, Hanna
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700 1 _ |a Rammner, Burkhard
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700 1 _ |a Keihani, Sarva
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700 1 _ |a Opazo, Felipe
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700 1 _ |a Urban, Inga
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700 1 _ |a Ischebeck, Till
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700 1 _ |a Kirli, Koray
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700 1 _ |a Benito, Eva
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700 1 _ |a Fischer, André
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700 1 _ |a Yousefi, Roya Y
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700 1 _ |a Dennerlein, Sven
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700 1 _ |a Rehling, Peter
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700 1 _ |a Feussner, Ivo
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700 1 _ |a Urlaub, Henning
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700 1 _ |a Bonn, Stefan
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700 1 _ |a Rizzoli, Silvio O
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700 1 _ |a Fornasiero, Eugenio F
|b 20
773 1 8 |a 10.1038/s41598-018-35277-8
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|v 8
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773 _ _ |a 10.1038/s41598-018-35277-8
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856 7 _ |2 Pubmed Central
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913 1 _ |a DE-HGF
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999 C 5 |9 -- missing cx lookup --
|a 10.1093/nar/gkr1090
|2 Crossref
|o 10.1093/nar/gkr1090
999 C 5 |9 -- missing cx lookup --
|a 10.1093/database/bav096
|2 Crossref
|o 10.1093/database/bav096
999 C 5 |9 -- missing cx lookup --
|a 10.1093/nar/gku989
|2 Crossref
|o 10.1093/nar/gku989
999 C 5 |9 -- missing cx lookup --
|a 10.1016/S0004-3702(97)00043-X
|2 Crossref
|o 10.1016/S0004-3702(97)00043-X
999 C 5 |9 -- missing cx lookup --
|a 10.1385/1592598900
|2 Crossref
|o 10.1385/1592598900
999 C 5 |9 -- missing cx lookup --
|a 10.1093/bioinformatics/16.4.404
|2 Crossref
|o 10.1093/bioinformatics/16.4.404
999 C 5 |9 -- missing cx lookup --
|a 10.1038/75556
|2 Crossref
|o 10.1038/75556
999 C 5 |9 -- missing cx lookup --
|a 10.1093/nar/gkv1344
|2 Crossref
|o 10.1093/nar/gkv1344
999 C 5 |9 -- missing cx lookup --
|a 10.1111/j.1467-9868.2005.00503.x
|2 Crossref
|o 10.1111/j.1467-9868.2005.00503.x
999 C 5 |y 1996
|2 Crossref
|o R Tibshirani 1996
999 C 5 |9 -- missing cx lookup --
|a 10.18637/jss.v028.i05
|2 Crossref
|o 10.18637/jss.v028.i05
999 C 5 |9 -- missing cx lookup --
|a 10.1093/nar/gkm895
|2 Crossref
|o 10.1093/nar/gkm895
999 C 5 |9 -- missing cx lookup --
|a 10.1038/nature02263
|2 Crossref
|o 10.1038/nature02263
999 C 5 |9 -- missing cx lookup --
|a 10.1016/j.cell.2013.12.026
|2 Crossref
|o 10.1016/j.cell.2013.12.026
999 C 5 |9 -- missing cx lookup --
|a 10.1016/j.febslet.2009.10.036
|2 Crossref
|o 10.1016/j.febslet.2009.10.036

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21