ArticleNature communications2025
Nanopore sequencing of intact aminoacylated tRNAs.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- QutRNA2: robust tRNA modification discovery from Nanopore direct tRNA sequencing.NAR genomics and bioinformatics · 2026Article
- Human aminoacyl-tRNA synthetases as integrators of translation and cell signalling networks.Nature reviews. Molecular cell biology · 2026Review
- The impact of psuedouridine modification on human tRNA.Biochemical Society transactions · 2026Review
- Pseudouridylation landscape across 42bioRxiv : the preprint server for biology · 2026Article
- Probing the epitranscriptome and RNA damage with nanopore direct RNA sequencing.RNA (New York, N.Y.) · 2026Review
- Hidden in plain sight: illuminating the tRNA landscape by sequencing.Genome biology · 2026Review
- ADAM-tRNA-seq: an optimized approach for demultiplexing and enhanced hierarchal mapping in direct tRNA sequencing.Nucleic acids research · 2026Article
- Advances in molecular tools for elucidating nucleic acid biology in fungal pathogens.microLife · 2026Review
- Exploiting nanopore sequencing advances for tRNA sequencing of human cancer models.NAR cancer · 2025Article
- tRNA-modifying enzymes in bacterial stress adaptation.Open biology · 2025Review
- WarpDemuX-tRNA: barcode multiplexing for nanopore tRNA sequencing.Nucleic acids research · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
The intricate landscape of tRNA modification presents persistent analytical challenges, which have impeded efforts to simultaneously resolve sequence, modification, and aminoacylation state at the level of individual tRNAs. To address these challenges, we introduce "aa-tRNA-seq", an integrated method that uses chemical ligation to sandwich the amino acid of a charged tRNA in between the body of the tRNA and an adaptor oligonucleotide, followed by high throughput nanopore sequencing. Our approach reveals the identity of the amino acids attached to all tRNAs in a cellular sample, at the single molecule level. We describe machine learning models that enable the accurate identification of amino acid identities based on the unique signal distortions generated by the interactions between the amino acid in the RNA backbone and the nanopore motor protein and reader head. We apply aa-tRNA-seq to characterize the impact of the loss of specific tRNA modification enzymes, confirming the hypomodification-associated instability of specific tRNAs, and identifying additional candidate targets of modification. Our studies lay the groundwork for understanding the efficiency and fidelity of tRNA aminoacylation as a function of tRNA sequence, modification, and environmental conditions.
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.