ArticleNature communications2025
Genome-wide profiling of tRNA modifications by Induro-tRNAseq reveals coordinated changes.
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 23 papers.
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Who cites it
23 citing papers in PubMed.
- Production of MarathonRT and its comparison with commercial reverse transcriptases for tRNA sequencing library preparation.RNA biology · 2026Article
- Updated guide to RNA quantification by RNA sequencing and reverse transcription-qPCR.Molecules and cells · 2026Article
- Human aminoacyl-tRNA synthetases as integrators of translation and cell signalling networks.Nature reviews. Molecular cell biology · 2026Review
- A nanogram-sensitive workflow for oligonucleotide mass spectrometry using ion-pair-free nanoflow HILIC and RNase benchmarking.Nucleic acids research · 2026Article
- One-Step Affinity Purification of MarathonRT Reverse Transcriptase for RNA Sequencing Applications.Bio-protocol · 2026Article
- OTTR-seq profiling reveals dynamic tRNA modification landscapes across diverse archaeal species.Genome biology · 2026Article
- Evolution of an Aurora Kinase A Inhibitor from an Essential tRNA Synthetase.bioRxiv : the preprint server for biology · 2026Article
- tRNA modifications in viral replication.The Journal of biological chemistry · 2026Review
- FIRST-seq: a nanopore-based cDNA sequencing platform for RNA modification and structure profiling.Genome biology · 2026Article
- Gel-free library preparation for next-generation RNA sequencing and small RNA quantification.Communications biology · 2026Article
- Deciphering tRNA repertoires and translation coordination during mouse early embryogenesis by ORACLE-tRNAseq.Nature communications · 2026Article
- The regulation, function and disease relevance of cytoplasmic tRNAs.Nature reviews. Molecular cell biology · 2026Review
- Probing the epitranscriptome and RNA damage with nanopore direct RNA sequencing.RNA (New York, N.Y.) · 2026Review
- Optimized tRNA structure-seq reveals robust tRNA secondary structures inbioRxiv : the preprint server for biology · 2026Article
- Decoding human tRNA modifications and crosstalk by enhanced single-read analysis.Genome biology · 2026Article
- 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
- Designing RNA sequencing experiments: A practical guide to reproducible gene expression analysis.Computational and structural biotechnology journal · 2026Review
- Article
- The Landscape of tRNA Modifications in Archaea.bioRxiv : the preprint server for biology · 2025Article
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Authors and funding
15 authors.
Funding
Abstract
While all native tRNAs undergo extensive post-transcriptional modifications as a mechanism to regulate gene expression, mapping these modifications remains challenging. The critical barrier is the difficulty of readthrough of modifications by reverse transcriptases (RTs). Here we use Induro-a new group-II intron-encoded RT-to map and quantify genome-wide tRNA modifications in Induro-tRNAseq. We show that Induro progressively increases readthrough over time by selectively overcoming RT stops without altering the misincorporation frequency. In a parallel analysis of Induro vs. a related RT, we provide comparative datasets to facilitate the prediction of each modification. We assess tRNA modifications across five human cell lines and three mouse tissues and show that, while the landscape of modifications is highly variable throughout the tRNA sequence framework, it is stabilized for modifications that are required for reading of the genetic code. The coordinated changes have fundamental importance for development of tRNA modifications in protein homeostasis.
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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 OpenQuestion graph.