ArticleeLife2024
A robust method for measuring aminoacylation through tRNA-Seq.
Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Succinate dehydrogenase loss suppresses pyrimidine biosynthesis via succinate-mediated inhibition of aspartate transcarbamylase.Nature metabolism · 2026Article
- Hidden Diversity in Yeast tRNAs: Comparative Genomics and Modification Mapping in a Eukaryotic Subphylum.bioRxiv : the preprint server for biology · 2026Article
- Ribosome-associated quality control of aberrant protein production during amino acid limitation.bioRxiv : the preprint server for biology · 2026Article
- Nanopore sequencing of intact aminoacylated tRNAs.Nature communications · 2025Article
- MicroRNAs in long COVID: roles, diagnostic biomarker potential and detection.Human genomics · 2025Review
- Interpreting ribosome dynamics during mRNA translation.The Journal of biological chemistry · 2025Review
- Monitoring monomer-specific acyl-tRNA levels in cells with PARTI.Nucleic acids research · 2025Article
- Fungal-Derived tRNAs Are Expressed and Aminoacylated in Orchid Mitochondria.Molecular biology and evolution · 2025Article
- The landscape of Arabidopsis tRNA aminoacylation.The Plant journal : for cell and molecular biology · 2024Article
- Article
- Eukaryotic AlaX provides multiple checkpoints for quality and quantity of aminoacyl-tRNAs in translation.Nucleic acids research · 2024Article
- A Translation-Independent Directed Evolution Strategy to Engineer Aminoacyl-tRNA Synthetases.ACS central science · 2024Article
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2 authors.
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Abstract
Current methods to quantify the fraction of aminoacylated tRNAs, also known as the tRNA charge, are limited by issues with either low throughput, precision, and/or accuracy. Here, we present an optimized charge transfer RNA sequencing (tRNA-Seq) method that combines previous developments with newly described approaches to establish a protocol for precise and accurate tRNA charge measurements. We verify that this protocol provides robust quantification of tRNA aminoacylation and we provide an end-to-end method that scales to hundreds of samples including software for data processing. Additionally, we show that this method supports measurements of relative tRNA expression levels and can be used to infer tRNA modifications through reverse transcription misincorporations, thereby supporting multipurpose applications in tRNA biology.
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