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Mutations in the NOT Genes or in the Translation Machinery Similarly Display Increased Resistance to Histidine Starvation

Overview of attention for article published in Frontiers in Genetics, May 2017
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Title
Mutations in the NOT Genes or in the Translation Machinery Similarly Display Increased Resistance to Histidine Starvation
Published in
Frontiers in Genetics, May 2017
DOI 10.3389/fgene.2017.00061
Pubmed ID
Authors

Martine A. Collart, Sari Kassem, Zoltan Villanyi

Abstract

The NOT genes encode subunits of the conserved Ccr4-Not complex, a global regulator of gene expression, and in particular of mRNA metabolism. They were originally identified in a selection for increased resistance to histidine starvation in the yeast S. cerevisiae. Recent work indicated that the Not5 subunit, ortholog of mammalian CNOT3, determines global translation levels by defining binding of the Ccr4-Not scaffold protein Not1 to ribosomal mRNAs during transcription. This is needed for optimal translation of ribosomal proteins. In this work we searched for mutations in budding yeast that were resistant to histidine starvation using the same selection that originally led to the isolation of the NOT genes. We thereby isolated mutations in ribosome-related genes. This common phenotype of ribosome mutants and not mutants is in good agreement with the positive role of the Not proteins for translation. In this regard, it is interesting that frequent mutations in RPL5 and RPL10 or in CNOT3 have been observed to accumulate in adult T-cell acute lymphoblastic leukemia (T-ALL). This suggests that in metazoans a common function implicating ribosome subunits and CNOT3 plays a role in the development of cancer. In this perspective we suggest that the Ccr4-Not complex, according to translation levels and fidelity, could itself be involved in the regulation of amino acid biosynthesis levels. We discuss how this could explain why mutations have been identified in many cancers.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 23%
Student > Master 4 18%
Student > Doctoral Student 3 14%
Researcher 2 9%
Professor 1 5%
Other 3 14%
Unknown 4 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 55%
Agricultural and Biological Sciences 3 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Immunology and Microbiology 1 5%
Medicine and Dentistry 1 5%
Other 0 0%
Unknown 4 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 May 2017.
All research outputs
#20,421,487
of 22,973,051 outputs
Outputs from Frontiers in Genetics
#8,669
of 12,010 outputs
Outputs of similar age
#273,019
of 313,704 outputs
Outputs of similar age from Frontiers in Genetics
#54
of 55 outputs
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