Journal
NUCLEIC ACIDS RESEARCH
Volume -, Issue -, Pages -Publisher
OXFORD UNIV PRESS
DOI: 10.1093/nar/gkad1195
Keywords
-
Categories
Ask authors/readers for more resources
Nucleotide excision repair (NER) is a critical process for maintaining genome stability by removing DNA lesions. In this study, we investigated the rules governing the selection of incision sites during NER. Our findings reveal that the 5' incision site shows a preference for a specific sequence motif, while the 3' incision site does not have strong sequence preferences and is partially determined by the distance from the 5' incision site. We also discovered unique NER incision patterns at nucleosome boundaries.
Nucleotide excision repair (NER) removes helix-distorting DNA lesions and is therefore critical for genome stability. During NER, DNA is unwound on either side of the lesion and excised, but the rules governing incision site selection, particularly in eukaryotic cells, are unclear. Excision repair-sequencing (XR-seq) sequences excised NER fragments, but analysis has been limited because the lesion location is unknown. Here, we exploit accelerated cytosine deamination rates in UV-induced CPD (cyclobutane pyrimidine dimer) lesions to precisely map their locations at C to T mismatches in XR-seq reads, revealing general and species-specific patterns of incision site selection during NER. Our data indicate that the 5 ' incision site occurs preferentially in HYV (i.e. not G; C/T; not T) sequence motifs, a pattern that can be explained by sequence preferences of the XPF-ERCC1 endonuclease. In contrast, the 3 ' incision site does not show strong sequence preferences, once truncated reads arising from mispriming events are excluded. Instead, the 3 ' incision is partially determined by the 5 ' incision site distance, indicating that the two incision events are coupled. Finally, our data reveal unique and coupled NER incision patterns at nucleosome boundaries. These findings reveal key principles governing NER incision site selection in eukaryotic cells. Graphical Abstract
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available