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- MINIREVIEW] Synthetic lethal interaction between oxidative stress response and DNA damage repair in the budding yeast and its application to targeted anticancer therapy
- Ji Eun Choi , Woo-Hyun Chung
- J. Microbiol. 2019;57(1):9-17. Published online December 29, 2018
- DOI: https://doi.org/10.1007/s12275-019-8475-2
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- 7 Web of Science
- 6 Crossref
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Abstract
- Synthetic lethality is an extreme form of negative genetic epistasis that arises when a combination of functional deficiency in two or more genes results in cell death, whereas none of the single genetic perturbations are lethal by themselves. This unconventional genetic interaction is a modification of the concept of essentiality that can be exploited for the purpose of targeted cancer therapy. The yeast Saccharomyces cerevisiae has been pivotally used for early large-scale synthetic lethal screens due to its experimental advantages, but recent advances in gene silencing technology have now made direct high-throughput analysis possible in higher organisms. Identification of tumor-specific alterations and characterization of the mechanistic principles underlying synthetic lethal interaction are the key to applying synthetic lethality to clinical cancer treatment by enabling genome-driven oncological research. Here, we provide emerging ideas on the synthetic lethal interactions in budding yeast, particularly between cellular processes responsible for oxidative stress response and DNA damage repair, and discuss how they can be appropriately utilized for context-dependent cancer therapeutics.
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Citations
Citations to this article as recorded by
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Computers in Biology and Medicine.2024; 170: 108066. CrossRef - ML216-Induced BLM Helicase Inhibition Sensitizes PCa Cells to the DNA-Crosslinking Agent Cisplatin
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The International Journal of Biological Markers.2022; 37(3): 296. CrossRef - Functional interplay between the oxidative stress response and DNA damage checkpoint signaling for genome maintenance in aerobic organisms
Ji Eun Choi, Woo-Hyun Chung
Journal of Microbiology.2020; 58(2): 81. CrossRef - Genetic interactions derived from high-throughput phenotyping of 6589 yeast cell cycle mutants
Jenna E. Gallegos, Neil R. Adames, Mark F. Rogers, Pavel Kraikivski, Aubrey Ibele, Kevin Nurzynski-Loth, Eric Kudlow, T. M. Murali, John J. Tyson, Jean Peccoud
npj Systems Biology and Applications.2020;[Epub] CrossRef - DNA damage induces Yap5-dependent transcription of ECO1/CTF7 in Saccharomyces cerevisiae
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PLOS ONE.2020; 15(12): e0242968. CrossRef
- CSSLdb: Discovery of cancer-specific synthetic lethal interactions based on machine learning and statistic inference
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