Transcriptional and posttranslational signals are known mechanisms that promote efficient responses to DNA damage. We have identified Saccharomyces cerevisiae tRNA methyltransferase 9 (Trm9) as an enzyme that prevents cell death via translational enhancement of DNA damage response proteins. Trm9 methylates the uridine wobble base of tRNAARG(UCU) and tRNAGLU(UUC). We used computational and molecular approaches to predict that Trm9 enhances the translation of some transcripts overrepresented with specific arginine and glutamic acid codons. We found that translation elongation factor 3 (YEF3) and the ribonucleotide reductase (RNR1 and RNR3) large subunits are overrepresented with specific arginine and glutamic acid codons, and we demonstrated that Trm9 significantly enhances Yef3, Rnr1, and Rnr3 protein levels. Additionally, we identified 425 genes, which included YEF3, RNR1, and RNR3, with a unique codon usage pattern linked to Trm9. We propose that Trm9-specific tRNA modifications enhance codon-specific translation elongation and promote increased levels of key damage response proteins.

Emerging evidence points to aberrant regulation of translation as a driver of cell transformation in cancer. Given the direct control of translation by tRNA modifications, tRNA modifying enzymes may function as regulators of cancer progression. Here, we show that a tRNA methyltransferase 9-like (hTRM9L/KIAA1456) mRNA is down-regulated in breast, bladder, colorectal, cervix and testicular carcinomas. In the aggressive SW620 and HCT116 colon carcinoma cell lines, hTRM9L is silenced and its re-expression and methyltransferase activity dramatically suppressed tumour growth in vivo. This growth inhibition was linked to decreased proliferation, senescence-like G0/G1-arrest and up-regulation of the RB interacting protein LIN9. Additionally, SW620 cells re-expressing hTRM9L did not respond to hypoxia via HIF1-α-dependent induction of GLUT1. Importantly, hTRM9L-negative tumours were highly sensitive to aminoglycoside antibiotics and this was associated with altered tRNA modification levels compared to antibiotic resistant hTRM9L-expressing SW620 cells. Our study links hTRM9L and tRNA modifications to inhibition of tumour growth via LIN9 and HIF1-α-dependent mechanisms. It also suggests that aminoglycoside antibiotics may be useful to treat hTRM9L-deficient tumours.

Correct codon-anticodon pairing promotes translational fidelity, with these interactions greatly facilitated by modified nucleosides found in tRNA. We hypothesized that wobble uridine modifications catalyzed by tRNA methyltransferase 9 (Trm9) are essential for translational fidelity. In support, we have used phenotypic, reporter and protein-based assays to demonstrate increased translational infidelity in trm9Δ Saccharomyces cerevisiae cells. Codon reengineering studies suggest that Trm9-catalyzed tRNA modifications promote fidelity during the translation of specific genes, those rich in arginine and glutamic acid codons from mixed boxes. Using quantitative tRNA modification analysis, we determined that trm9Δ cells are only deficient in 2 of 23 tRNA modifications, with those 2, 5-methoxycarbonylmethyluridine (mcm ( 5) U) and 5-methoxycarbonylmethyl-2-thiouridine (mcm ( 5) s ( 2) U), classified as key determinants of translational fidelity. We also show that in the absence of mcm ( 5) U and mcm ( 5) s ( 2) U, the resulting translational infidelity promotes protein errors and activation of unfolded protein and heat shock responses. These data support a model in which Trm9-catalyzed tRNA modifications promote fidelity during the translation of specific transcripts, with decreased wobble base modification leading to translational infidelity, protein errors and activation of protein stress response pathways.

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A codon consists of three nucleotides and functions during translation to dictate the insertion of a specific amino acid in a growing peptide or, in the case of stop codons, to specify the completion of protein synthesis. There are 64 possible single codons and there are 4096 double, 262 144 triple, 16 777 216 quadruple and 1 073 741 824 quintuple codon combinations available for use by specific genes and genomes. In order to evaluate the use of specific single, double, triple, quadruple and quintuple codon combinations in genes and gene networks, we have developed a codon counting tool and employed it to analyze 5780 Saccharomyces cerevisiae genes. We have also developed visualization approaches, including codon painting, combination and bar graphs, and have used them to identify distinct codon usage patterns in specific genes and groups of genes. Using our developed Gene-Specific Codon Counting Database, we have identified extreme codon runs in specific genes. We have also demonstrated that specific codon combinations or usage patterns are over-represented in genes whose corresponding proteins belong to ribosome or translation-associated biological processes. Our resulting database provides a mineable list of multi-codon data and can be used to identify unique sequence runs and codon usage patterns in individual and functionally linked groups of genes.Database URL: http://www.cs.albany.edu/~tumu/GSCC.html

The identification of cellular responses to damage can promote mechanistic insight into stress signalling. We have screened a library of 3,968 E. coli gene deletion mutants to identify 99 gene products that modulate the toxicity of the alkylating agent methyl methanesulfonate (MMS). We have developed an ontology mapping approach to identify functional categories over-represented with MMS-toxicity modulating proteins and demonstrate that, in addition to DNA re-synthesis (replication, recombination, and repair), proteins involved in mRNA processing and translation influence viability after MMS damage. We have also mapped our MMS-toxicity modulating proteins onto an E. coli protein interactome and identified a sub-network consisting of 32 proteins functioning in DNA repair, mRNA processing, and translation. Clustering coefficient analysis identified seven highly connected MMS-toxicity modulating proteins associated with translation and mRNA processing, with the high connectivity suggestive of a coordinated response. Corresponding results from reporter assays support the idea that the SOS response is influenced by activities associated with the mRNA-translation interface.

Cellular responses to DNA damage can prevent mutations and death. In this study, we have used high-throughput screens and developed a comparative genomic approach, termed Functionome mapping, to discover conserved responses to UVC-damage. Functionome mapping uses Gene Ontology (GO) information to link proteins with similar biological functions from different organisms, and we have used it to compare 303, 311 and 288 UVC-toxicity modulating proteins from E. coli, S. pombe and S. cerevisiae, respectively. We have demonstrated that all three organisms use DNA repair, translation and aerobic respiration associated processes to modulate the toxicity of UVC, with these last two categories highlighting the importance of ribosomal proteins and electron transport machinery. Our study has demonstrated that comparative genomic approaches can be used to identify conserved responses to damage, and suggest roles for translational machinery and components of energy metabolism in optimizing the DNA damage response.

DNA damage from exogenous and endogenous sources can promote mutations and cell death. Fortunately, cells contain DNA repair and damage signalling pathways to reduce the mutagenic and cytotoxic effects of DNA damage. The identification of specific DNA repair proteins and the coordination of DNA repair pathways after damage has been a central theme to the field of Genetic Toxicology and we have developed a tool for use in this area. We have produced 99 molecular barcoded Escherichia coli gene-deletion mutants specific to DNA repair and damage signalling pathways, and each bar-coded mutant can be tracked in pooled format using bar-code specific microarrays. Our design adapted bar-codes developed for the Saccharomyces cerevisiae Gene Deletion Project, which allowed us to utilize an available microarray product for pooled geneexposure studies. Microarray-based screens were used for en masse identification of individual mutants sensitive to methyl methanesulfonate (MMS). As expected, gene deletion mutants specific to direct, base excision, and recombinational DNA repair pathways were identified as MMS-sensitive in our pooled assay, thus validating our resource. We have demonstrated that molecular bar-codes designed for S. cerevisiae are transferable to E. coli, and that they can be used with pre-existing microarrays to perform competitive growth experiments. Further, when comparing microarray to traditional plate-based screens both over-lapping and distinct results were obtained, which is a novel technical finding, with discrepancies between the two approaches explained by differences in output measurements (DNA content verse cell mass). The microarray-based classification of Δtag and ΔdinG cells as depleted after MMS exposure, contrary to plate-based methods, led to the discovery that Δtag and ΔdinG cells show a filamentation phenotype after MMS exposure, thus accounting for the discrepancy. A novel biological finding is the observation that while ΔdinG cells filament in response to MMS they exhibit wild-type sulA expression after exposure. This decoupling of filamentation from SulA levels suggests that DinG is associated with the SulA-independent filamentation pathway.