<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Mandad S</submitter><funding>European Molecular Biology Organization</funding><funding>Human Frontier Science Program</funding><funding>Deutsche Forschungsgemeinschaft</funding><funding>European Research Council</funding><pagination>16913</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6237891</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>8(1)</volume><pubmed_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 </pubmed_abstract><journal>Scientific reports</journal><pubmed_title>The codon sequences predict protein lifetimes and other parameters of the protein life cycle in the mouse brain.</pubmed_title><pmcid>PMC6237891</pmcid><funding_grant_id>BO4224/4-1</funding_grant_id><funding_grant_id>339580</funding_grant_id><funding_grant_id>SFB 889/A5, 1967/7-1, and SFB1190/P09</funding_grant_id><funding_grant_id>HFSP_LT000830/2013</funding_grant_id><funding_grant_id>ERC-2013-CoG NeuroMolAnatomy</funding_grant_id><funding_grant_id>EMBO_LT_797_2012</funding_grant_id><funding_grant_id>No. 339580 MITRAC</funding_grant_id><pubmed_authors>Wildhagen H</pubmed_authors><pubmed_authors>Opazo F</pubmed_authors><pubmed_authors>Vidal RO</pubmed_authors><pubmed_authors>Ischebeck T</pubmed_authors><pubmed_authors>Yousefi RY</pubmed_authors><pubmed_authors>Urlaub H</pubmed_authors><pubmed_authors>Keihani S</pubmed_authors><pubmed_authors>Kirli K</pubmed_authors><pubmed_authors>Fornasiero EF</pubmed_authors><pubmed_authors>Benito E</pubmed_authors><pubmed_authors>Rehling P</pubmed_authors><pubmed_authors>Feussner I</pubmed_authors><pubmed_authors>Rammner B</pubmed_authors><pubmed_authors>Rizzoli SO</pubmed_authors><pubmed_authors>Rahman RU</pubmed_authors><pubmed_authors>Bonn S</pubmed_authors><pubmed_authors>Fischer A</pubmed_authors><pubmed_authors>Dennerlein S</pubmed_authors><pubmed_authors>Urban I</pubmed_authors><pubmed_authors>Centeno TP</pubmed_authors><pubmed_authors>Mandad S</pubmed_authors></additional><is_claimable>false</is_claimable><name>The codon sequences predict protein lifetimes and other parameters of the protein life cycle in the mouse brain.</name><description>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 </description><dates><release>2018-01-01T00:00:00Z</release><publication>2018 Nov</publication><modification>2025-04-05T00:02:00.889Z</modification><creation>2019-03-27T00:08:44Z</creation></dates><accession>S-EPMC6237891</accession><cross_references><pubmed>30443017</pubmed><doi>10.1038/s41598-018-35277-8</doi></cross_references></HashMap>