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Conservation of a tRNA core for aminoacylation.

The core region of Escherichia coli tRNA(Cys)is important for aminoacylation of the tRNA. This core contains an unusual G15:G48 base pair, and three adenosine nucleotides A13, A22 and A46 that are likely to form a 46:[13:22] adenosine base triple. We recently observed that the 15:48 base pair and the proposed 46:[13:22] triple are structurally and functionally coupled to contribute to aminoacylation. Inspection of a database of tRNA sequences shows that these elements are only found in one other tRNA, the Haemophilus influenzae tRNA(Cys). Because of the complexity of the core, conservation of sequence does not mean conservation of function. We here tested whether the conserved elements in H. influenzae tRNA(Cys)were also important for aminoacylation of H. influenzae tRNA(Cys). We cloned and purified a recombinant H. influenzae cysteine-tRNA synthe-tase and showed that it depends on 15:48 and 13, 22 and 46 in a relationship analogous to that of E. coli cysteine-tRNA synthetase. The functional conservation of the tRNA core is correlated with sequence conservation between E.coli and H.influenzae cysteine-tRNA synthetases. As the genome of H. influenzae is one of the smallest and may approximate a small autonomous entity in the development of life, the dependence of this genome on G15:G48 and its coupling with the proposed A46:[A13:A22] triple for aminoacylation with cysteine suggests an early role of these motifs in the evolution of decoding genetic information.

Acylation↗

Exploring the causal relationship between plasma proteins and postherpetic neuralgia: a Mendelian randomization study.

BACKGROUND: The proteome represents a valuable resource for identifying therapeutic targets and clarifying disease mechanisms in neurological disorders. This study investigated potential causal relationships between plasma proteins and postherpetic neuralgia (PHN). METHODS: We conducted a two-sample Mendelian randomization (MR) analysis using genome-wide association study (GWAS) summary statistics from the Decode Genetics dataset (4,907 plasma proteins) and the FinnGen database (490 PHN cases and 435,371 controls). Instrumental variables (IVs) were selected based on relevance, independence, and exclusivity. Causal associations were assessed using inverse-variance weighted (IVW), MR-Egger regression, simple mode, weighted mode, and weighted median methods. Sensitivity analyses, including leave-one-out tests, evaluated result robustness, while colocalization analysis examined shared causal variants between traits. RESULTS: Eight plasma proteins showed significant associations with PHN (PFDR < 0.05). Higher levels of ATRN, PIANP, and CD48 correlated with increased PHN risk, whereas elevated KIR2DL5A, GPI, SEMG2, EIF4B, and HFE2 levels were associated with reduced risk. Sensitivity analyses supported these findings and excluded genetic pleiotropy as a major confounding factor. Colocalization analysis did not detect shared causal variants (PPH4 < 0.8). CONCLUSION: These results suggest a potential causal role for eight plasma proteins in PHN pathogenesis. While these proteins may serve as biomarkers or therapeutic candidates, further validation is required. This study advances understanding of PHN pathophysiology and supports future investigations into diagnostic and therapeutic strategies.

Mendelian randomization↗

Genome vikings.

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Chromosome Mapping↗

Mistranslating tRNA variants impact the proteome and phosphoproteome of Saccharomyces cerevisiae.

Transfer RNAs (tRNAs) ensure accurate decoding of the genetic code. However, mutations in tRNAs can lead to mis-incorporation of an amino acid that differs from the genetic message in a process known as mistranslation. As mistranslating tRNAs modify how the genetic message is decoded, they have potential as therapeutic tools for diseases caused by nonsense and missense mutations. Despite this, they also produce proteome-wide mis-made proteins which can disrupt proteostasis. To better understand the impact of mistranslating tRNA variants, we profile the proteome and phosphoproteome of yeast expressing three different mistranslating tRNAs. While the overall impacts were similar, the extent of growth defects and proteome changes varied with the substitution type. Although the global impacts were modest, mistranslation influenced key cellular processes, including proteostasis, cell cycle and translation. These findings highlight the need to consider cellular consequences when developing mistranslating tRNAs for therapeutic applications.

mass spectrometry↗