Translation in amino acid-poor environments is limited by tRNAGln charging
UID: 10823
- Description
- Summary from the GEO: "An inadequate supply of amino acids leads to accumulation of uncharged tRNAs, which can bind and activate GCN2 kinase to reduce translation. Here, we show that glutamine-specific tRNAs selectively become uncharged when extracellular amino acid availability is compromised. In contrast, all other tRNAs retain charging of their cognate amino acids in a manner that is dependent upon intact lysosomal function. In addition to GCN2 activation and reduced total translation, the reduced charging of tRNAGln in amino acid-deprived cells also leads to specific depletion of proteins containing polyglutamine tracts including core binding factor α1, mediator subunit 12, transcriptional coactivator CBP and TATA-box binding protein. Treating amino acid-deprived cells with exogenous glutamine or glutaminase inhibitors restores tRNAGln charging and the levels of polyglutamine-containing proteins. Together, these results demonstrate that the activation of GCN2 and the translation of polyglutamine-encoding transcripts serve as the key sensors of glutamine availability in mammalian cells."
Overall design from the GEO: "Mouse embryonic fibroblasts were cultured for 6h with or without amino acids in the presence of glutaminase inhibitor (CB-839) or vehicle (DMSO). RNA was extracted from cells and treated with either 10mM sodium periodite ("oxidized") or sodium chloride ("non-oxidized) prior to sequencing library preparation to calculate tRNA charging ratios."
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Access via GEO
Plain Text file with processed data from the experiment
Accession #: GSE157276Access via SRATranscriptome sequencing of 16 samples
Accession #: SRP279607Access via BioProjectAdditional information about the overall inititative.
Accession #: PRJNA660742 - Access Restrictions
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Free to All
- Access Instructions
- The NCBI Gene Expression Omnibus, SRA, and BioProject databases provide open access to these files. The SRA Run Selector link at the bottom of the page is a processing tool for raw data.
- Associated Publications
- Data Type
- Equipment Used
- Software Used
- Dataset Format(s)
- Plain Text, SRA
- Data Tool(s)
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RNA Seq
- Dataset Size
- 5.3 KB (TXT), 20 Gb (SRA)
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