Publication

Effect of sequence context and direction of replication on AP site bypass in Saccharomyces cerevisiae

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Last modified
  • 02/20/2025
Type of Material
Authors
    Gaobin Bao, Emory UniversityYoke Wah Kow, Emory University
Language
  • English
Date
  • 2009-10-02
Publisher
  • Elsevier
Publication Version
Copyright Statement
  • © 2009 Elsevier B.V. All rights reserved.
License
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 0027-5107
Volume
  • 669
Issue
  • 1-2
Start Page
  • 147
End Page
  • 154
Grant/Funding Information
  • This work was supported by NIH grants CA90860 (Y.W.K.).
Supplemental Material (URL)
Abstract
  • Yeast can be readily transformed by single-stranded oligonucleotides (ssOligos). Previously, we showed that an ssOligo that generates a 1-nt loop containing an AP site corrected the −1 frameshift mutation in the lys2ΔA746 allele. However, these experiments had to be performed in yeast apn1 mutants lacking the major AP endonuclease. In this study, we show that bypass of an AP site can be studied in repair-proficient yeast by using ssOligos that generates a 7-nt loop containing an AP site. The bypass studies performed using the ssOligos that generate a 7-nt loop was validated by demonstrating that the result obtained are similar to those derived using ssOligos containing a 1-nt loop in an apn1 mutant. By using the 7-nt loop system, we showed that the bypass efficiencies of AP sites are dependent on the sequence context that surrounds the lesion and are apparently no affected by the direction of DNA replication. In contrast, the mutagenic specificity of an AP site is not affected by the sequence context or the direction of replication. In all cases, dC is inserted at twice the frequency of dA opposite an AP site, indicating that REV1 is mainly responsible for bypass of AP sites at all lesion sites studied.
Author Notes
  • Correspondence: Yoke W Kow, Department of Radiation Oncology Emory University Atlanta, GA 30322; Telephone: 404-778-5481; Email: ykow@emory.edu.
Keywords
Research Categories
  • Biology, Genetics
  • Health Sciences, Oncology

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