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The Yeast PNC1 Longevity Gene Is Up-Regulated by mRNA Mistranslation

Overview of attention for article published in PLOS ONE, April 2009
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Title
The Yeast PNC1 Longevity Gene Is Up-Regulated by mRNA Mistranslation
Published in
PLOS ONE, April 2009
DOI 10.1371/journal.pone.0005212
Pubmed ID
Authors

Raquel M. Silva, Iven C. N. Duarte, João A. Paredes, Tatiana Lima-Costa, Michel Perrot, Hélian Boucherie, Brian J. Goodfellow, Ana C. Gomes, Denisa D. Mateus, Gabriela R. Moura, Manuel A. S. Santos

Abstract

Translation fidelity is critical for protein synthesis and to ensure correct cell functioning. Mutations in the protein synthesis machinery or environmental factors that increase synthesis of mistranslated proteins result in cell death and degeneration and are associated with neurodegenerative diseases, cancer and with an increasing number of mitochondrial disorders. Remarkably, mRNA mistranslation plays critical roles in the evolution of the genetic code, can be beneficial under stress conditions in yeast and in Escherichia coli and is an important source of peptides for MHC class I complex in dendritic cells. Despite this, its biology has been overlooked over the years due to technical difficulties in its detection and quantification. In order to shed new light on the biological relevance of mistranslation we have generated codon misreading in Saccharomyces cerevisiae using drugs and tRNA engineering methodologies. Surprisingly, such mistranslation up-regulated the longevity gene PNC1. Similar results were also obtained in cells grown in the presence of amino acid analogues that promote protein misfolding. The overall data showed that PNC1 is a biomarker of mRNA mistranslation and protein misfolding and that PNC1-GFP fusions can be used to monitor these two important biological phenomena in vivo in an easy manner, thus opening new avenues to understand their biological relevance.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Netherlands 1 2%
Unknown 60 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 32%
Student > Ph. D. Student 18 29%
Student > Master 9 14%
Professor > Associate Professor 3 5%
Student > Bachelor 2 3%
Other 8 13%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 59%
Biochemistry, Genetics and Molecular Biology 14 22%
Medicine and Dentistry 3 5%
Neuroscience 2 3%
Immunology and Microbiology 1 2%
Other 2 3%
Unknown 4 6%