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Regulation of translation by methylation multiplicity of 18S rRNA.

Kuanqing Liu | Daniel A Santos | Jeffrey A Hussmann | Yun Wang | Benjamin M Sutter | Jonathan S Weissman | Benjamin P Tu
Cell reports | 2021

N6-methyladenosine (m6A) is a conserved ribonucleoside modification that regulates many facets of RNA metabolism. Using quantitative mass spectrometry, we find that the universally conserved tandem adenosines at the 3' end of 18S rRNA, thought to be constitutively di-methylated (m62A), are also mono-methylated (m6A). Although present at substoichiometric amounts, m6A at these positions increases significantly in response to sulfur starvation in yeast cells and mammalian cell lines. Combining yeast genetics and ribosome profiling, we provide evidence to suggest that m6A-bearing ribosomes carry out translation distinctly from m62A-bearing ribosomes, featuring a striking specificity for sulfur metabolism genes. Our work thus reveals methylation multiplicity as a mechanism to regulate translation.

Pubmed ID: 33691096

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Associated grants

  • Agency: NINDS NIH HHS, United States
    Id: R01 NS115546
  • Agency: NIGMS NIH HHS, United States
    Id: R35 GM136370
  • Agency: Howard Hughes Medical Institute, United States

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SGD (tool)

RRID:SCR_004694

A curated database that provides comprehensive integrated biological information for Saccharomyces cerevisiae along with search and analysis tools to explore these data. SGD allows researchers to discover functional relationships between sequence and gene products in fungi and higher organisms. The SGD also maintains the S. cerevisiae Gene Name Registry, a complete list of all gene names used in S. cerevisiae which includes a set of general guidelines to gene naming. Protein Page provides basic protein information calculated from the predicted sequence and contains links to a variety of secondary structure and tertiary structure resources. Yeast Biochemical Pathways allows users to view and search for biochemical reactions and pathways that occur in S. cerevisiae as well as map expression data onto the biochemical pathways. Literature citations are provided where available.

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FASTX-Toolkit (tool)

RRID:SCR_019035

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RRID:CVCL_0063

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