ArticleCell reports2021
Translational adaptation of human viruses to the tissues they infect.
Article in Cell reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 48 citations in OpenAlex.
- Identification of Partitivirus-like RdRPs in theViruses · 2026Article
- tRNA modifications in viral replication.The Journal of biological chemistry · 2026Review
- Host mature tRNAome as a decoding switch regulates antiviral and proviral responses.Nature communications · 2026Article
- Essentiality and dynamic expression of the human tRNA pool during viral infection.Molecular systems biology · 2026Article
- Temporal and gene-specific dynamics of codon usage evolution in SARS-CoV-2 genomes.BMC genomics · 2026Article
- Article
- Codon usage bias of low-risk human papillomavirus types 6 and 11.Antonie van Leeuwenhoek · 2025Article
- Article
- Codon Usage Evolution in Viruses: Implications for Survival and Pathogenicity.Journal of molecular evolution · 2025Review
- Article
- Predicting viral host codon fitness and path shifting through tree-based learning on codon usage biases and genomic characteristics.Scientific reports · 2025Article
- ORF1ab codon frequency model predicts host-pathogen relationship in orthocoronavirinae.Frontiers in bioinformatics · 2025Article
- Viral codon usage and the virus-host interactions.Frontiers in microbiology · 2025Review
- Ten computational challenges in human virome studies.Virologica Sinica · 2024Review
- Computational Analysis of MDR1 Variants Predicts Effect on Cancer Cells via their Effect on mRNA Folding.PLoS computational biology · 2024Article
- Why HPV16? Why, now, HPV42? How the discovery of HPV42 in rare cancers provides an opportunity to challenge our understanding about the transition between health and disease for common members of the healthy microbiota.FEMS microbiology reviews · 2024Review
- SARS-CoV-2 Displays a Suboptimal Codon Usage Bias for Efficient Translation in Human Cells Diverted by Hijacking the tRNA Epitranscriptome.International journal of molecular sciences · 2024Article
- mRNA Technology and Mucosal Immunization.Vaccines · 2024Review
- Proteolytic cleavage and inactivation of the TRMT1 tRNA modification enzyme by SARS-CoV-2 main protease.eLife · 2024Article
- Establishment of immortalized Egyptian Rousettus bat cell lines.FEBS open bio · 2024Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Viruses need to hijack the translational machinery of the host cell for a productive infection to happen. However, given the dynamic landscape of tRNA pools among tissues, it is unclear whether different viruses infecting different tissues have adapted their codon usage toward their tropism. Here, we collect the coding sequences of 502 human-infecting viruses and determine that tropism explains changes in codon usage. Using the tRNA abundances across 23 human tissues from The Cancer Genome Atlas (TCGA), we build an in silico model of translational efficiency that validates the correspondence of the viral codon usage with the translational machinery of their tropism. For instance, we detect that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is specifically adapted to the upper respiratory tract and alveoli. Furthermore, this correspondence is specifically defined in early viral proteins. The observed tissue-specific translational efficiency could be useful for the development of antiviral therapies and vaccines.
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Registered trials
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