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Specialized Yeast Ribosomes: A Customized Tool for Selective mRNA Translation

Overview of attention for article published in PLOS ONE, July 2013
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Title
Specialized Yeast Ribosomes: A Customized Tool for Selective mRNA Translation
Published in
PLOS ONE, July 2013
DOI 10.1371/journal.pone.0067609
Pubmed ID
Authors

Johann W. Bauer, Clemens Brandl, Olaf Haubenreisser, Bjoern Wimmer, Manuela Weber, Thomas Karl, Alfred Klausegger, Michael Breitenbach, Helmut Hintner, Tobias von der Haar, Mick F. Tuite, Lore Breitenbach-Koller

Abstract

Evidence is now accumulating that sub-populations of ribosomes - so-called specialized ribosomes - can favour the translation of subsets of mRNAs. Here we use a large collection of diploid yeast strains, each deficient in one or other copy of the set of ribosomal protein (RP) genes, to generate eukaryotic cells carrying distinct populations of altered 'specialized' ribosomes. We show by comparative protein synthesis assays that different heterologous mRNA reporters based on luciferase are preferentially translated by distinct populations of specialized ribosomes. These mRNAs include reporters carrying premature termination codons (PTC) thus allowing us to identify specialized ribosomes that alter the efficiency of translation termination leading to enhanced synthesis of the wild-type protein. This finding suggests that these strains can be used to identify novel therapeutic targets in the ribosome. To explore this further we examined the translation of the mRNA encoding the extracellular matrix protein laminin β3 (LAMB3) since a LAMB3-PTC mutant is implicated in the blistering skin disease Epidermolysis bullosa (EB). This screen identified specialized ribosomes with reduced levels of RP L35B as showing enhanced synthesis of full-length LAMB3 in cells expressing the LAMB3-PTC mutant. Importantly, the RP L35B sub-population of specialized ribosomes leave both translation of a reporter luciferase carrying a different PTC and bulk mRNA translation largely unaltered.

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Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 3%
United States 1 1%
Austria 1 1%
Unknown 88 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 22%
Researcher 18 19%
Student > Master 18 19%
Professor 8 9%
Student > Bachelor 5 5%
Other 10 11%
Unknown 14 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 43%
Biochemistry, Genetics and Molecular Biology 30 32%
Chemistry 4 4%
Medicine and Dentistry 2 2%
Immunology and Microbiology 1 1%
Other 1 1%
Unknown 15 16%