Glycidamide-induced hypermutation in yeast single-stranded DNA reveals a ubiquitous clock-like mutational motif in humans.
Kathleen M HudsonLeszek J KlimczakJoan F SterlingAdam B BurkholderMarat D KazanovNatalie SainiPiotr A MieczkowskiDmitry A GordeninPublished in: Nucleic acids research (2023)
Mutagens often prefer specific nucleotides or oligonucleotide motifs that can be revealed by studying the hypermutation spectra in single-stranded (ss) DNA. We utilized a yeast model to explore mutagenesis by glycidamide, a simple epoxide formed endogenously in humans from the environmental toxicant acrylamide. Glycidamide caused ssDNA hypermutation in yeast predominantly in cytosines and adenines. The most frequent mutations in adenines occurred in the nAt→nGt trinucleotide motif. Base substitutions A→G in this motif relied on Rev1 translesion polymerase activity. Inactivating Rev1 did not alter the nAt trinucleotide preference, suggesting it may be an intrinsic specificity of the chemical reaction between glycidamide and adenine in the ssDNA. We found this mutational motif enriched in published sequencing data from glycidamide-treated mouse cells and ubiquitous in human cancers. In cancers, this motif was positively correlated with the single base substitution (SBS) smoking-associated SBS4 signature, with the clock-like signatures SBS1, SBS5, and was strongly correlated with smoking history and with age of tumor donors. Clock-like feature of the motif was also revealed in cells of human skin and brain. Given its pervasiveness, we propose that this mutational motif reflects mutagenic lesions to adenines in ssDNA from a potentially broad range of endogenous and exogenous agents.
Keyphrases
- induced apoptosis
- endothelial cells
- cell cycle arrest
- saccharomyces cerevisiae
- single cell
- single molecule
- cell free
- machine learning
- high glucose
- young adults
- signaling pathway
- genome wide
- smoking cessation
- binding protein
- deep learning
- endoplasmic reticulum stress
- multiple sclerosis
- gene expression
- cell wall
- dna methylation
- big data
- newly diagnosed
- structural basis
- subarachnoid hemorrhage