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Genome Data Science lab

@GenomeDataLab

Computational biology @UCPH_Research/@IRBBarcelona: genetics & evolution of tumors & human populations. #ERC, #HorizonEU, #NNF, #DCS, #DFF funded. PI @FranSupek
Copenhagen & Barcelona GenomeDataLab.org Joined June 2017
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Genome Data Science lab @GenomeDataLab
Very cool collaborative work of our lab w/group of Lluis Ribas at @IRBBarcelona, spearheaded by the 2 Marinas 😀Marina Murillo and our alumna @msalvadoresf
Veera Rajagopal  Verified account @doctorveera Jun 12, 2025
In this fascinating preprint, the authors uncover an eye-opening feature of tRNA genes: they’re insanely prone to mutation. Analyzing somatic mutations in cancer tissues, they report that tRNA genes are up to 9 times more mutated than protein-coding genes.

Interestingly, the known biology of tRNA biology seems to line up neatly with this observation.

tRNA genes are hypermutable for three reasons:
- they are heavily transcribed than most protein-coding genes—more transcription means more chances for damage.
- they’re transcribed by RNA Polymerase III, which lacks the robust DNA repair machinery that is coupled with RNA polymerase II that transcribe protein-coding genes.
- they’re prime targets for APOBEC3 enzymes—viral defense agents that mutate single-stranded DNA and seem to hit tRNA genes as innocent bystanders.

But the most interesting finding is this: when the somatic mutations hit the anticodon region (that recognizes amino-acid), they make the tRNAs to insert the wrong amino acids during translation, misspelling proteins without any change to the underlying DNA or mRNA.
It's like a stealth mode mutation that defies the central dogma of biology, rewriting the proteome without touching the genome!

Paper:
Murillo-Recio et al. bioRxiv. Characterization of Somatic Mutations in Human tRNA Genes Reveals Tumor-Specific Mutational Loads, and the Generation of tRNA Variants that Alter the Genetic Code. bioRxiv 2025
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