Literature DB >> 23104998

Regulation of release factor expression using a translational negative feedback loop: a systems analysis.

Russell Betney1, Eric de Silva, Christina Mertens, Yvonne Knox, J Krishnan, Ian Stansfield.   

Abstract

The essential eukaryote release factor eRF1, encoded by the yeast SUP45 gene, recognizes stop codons during ribosomal translation. SUP45 nonsense alleles are, however, viable due to the establishment of feedback-regulated readthrough of the premature termination codon; reductions in full-length eRF1 promote tRNA-mediated stop codon readthrough, which, in turn, drives partial production of full-length eRF1. A deterministic mathematical model of this eRF1 feedback loop was developed using a staged increase in model complexity. Model predictions matched the experimental observation that strains carrying the mutant SUQ5 tRNA (a weak UAA suppressor) in combination with any of the tested sup45(UAA) nonsense alleles exhibit threefold more stop codon readthrough than that of an SUQ5 yeast strain. The model also successfully predicted that eRF1 feedback control in an SUQ5 sup45(UAA) mutant would resist, but not completely prevent, imposed changes in eRF1 expression. In these experiments, the introduction of a plasmid-borne SUQ5 copy into a sup45(UAA) SUQ5 mutant directed additional readthrough and full-length eRF1 expression, despite feedback. Secondly, induction of additional sup45(UAA) mRNA expression in a sup45(UAA) SUQ5 strain also directed increased full-length eRF1 expression. The autogenous sup45 control mechanism therefore acts not to precisely control eRF1 expression, but rather as a damping mechanism that only partially resists changes in release factor expression level. The validated model predicts that the degree of feedback damping (i.e., control precision) is proportional to eRF1 affinity for the premature stop codon. The validated model represents an important tool to analyze this and other translational negative feedback loops.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23104998      PMCID: PMC3504682          DOI: 10.1261/rna.035113.112

Source DB:  PubMed          Journal:  RNA        ISSN: 1355-8382            Impact factor:   4.942


  61 in total

1.  The accuracy of codon recognition by polypeptide release factors.

Authors:  D V Freistroffer; M Kwiatkowski; R H Buckingham; M Ehrenberg
Journal:  Proc Natl Acad Sci U S A       Date:  2000-02-29       Impact factor: 11.205

2.  Precision and functional specificity in mRNA decay.

Authors:  Yulei Wang; Chih Long Liu; John D Storey; Robert J Tibshirani; Daniel Herschlag; Patrick O Brown
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-23       Impact factor: 11.205

3.  Computational modeling of eukaryotic mRNA turnover.

Authors:  D Cao; R Parker
Journal:  RNA       Date:  2001-09       Impact factor: 4.942

4.  Genome-wide analysis of mRNA translation profiles in Saccharomyces cerevisiae.

Authors:  Yoav Arava; Yulei Wang; John D Storey; Chih Long Liu; Patrick O Brown; Daniel Herschlag
Journal:  Proc Natl Acad Sci U S A       Date:  2003-03-26       Impact factor: 11.205

5.  Competition between SsrA tagging and translational termination at weak stop codons in Escherichia coli.

Authors:  Justine Collier; Emmanuelle Binet; Philippe Bouloc
Journal:  Mol Microbiol       Date:  2002-08       Impact factor: 3.501

6.  Effects of release factor context at UAA codons in Escherichia coli.

Authors:  R Martin; M Weiner; J Gallant
Journal:  J Bacteriol       Date:  1988-10       Impact factor: 3.490

7.  Stop codons preceded by rare arginine codons are efficient determinants of SsrA tagging in Escherichia coli.

Authors:  Christopher S Hayes; Baundauna Bose; Robert T Sauer
Journal:  Proc Natl Acad Sci U S A       Date:  2002-03-12       Impact factor: 11.205

8.  Proline residues at the C terminus of nascent chains induce SsrA tagging during translation termination.

Authors:  Christopher S Hayes; Baundauna Bose; Robert T Sauer
Journal:  J Biol Chem       Date:  2002-07-08       Impact factor: 5.157

9.  Global analysis of protein expression in yeast.

Authors:  Sina Ghaemmaghami; Won-Ki Huh; Kiowa Bower; Russell W Howson; Archana Belle; Noah Dephoure; Erin K O'Shea; Jonathan S Weissman
Journal:  Nature       Date:  2003-10-16       Impact factor: 49.962

10.  Viable nonsense mutants for the essential gene SUP45 of Saccharomyces cerevisiae.

Authors:  Svetlana E Moskalenko; Svetlana V Chabelskaya; Sergei G Inge-Vechtomov; Michel Philippe; Galina A Zhouravleva
Journal:  BMC Mol Biol       Date:  2003-02-10       Impact factor: 2.946

View more
  2 in total

1.  mRNA translation and protein synthesis: an analysis of different modelling methodologies and a new PBN based approach.

Authors:  Yun-Bo Zhao; J Krishnan
Journal:  BMC Syst Biol       Date:  2014-02-27

2.  Gene Amplification as a Mechanism of Yeast Adaptation to Nonsense Mutations in Release Factor Genes.

Authors:  Evgeniia M Maksiutenko; Yury A Barbitoff; Andrew G Matveenko; Svetlana E Moskalenko; Galina A Zhouravleva
Journal:  Genes (Basel)       Date:  2021-12-19       Impact factor: 4.096

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.