Title |
Evolutionarily conserved genetic interactions with budding and fission yeast MutS identify orthologous relationships in mismatch repair-deficient cancer cells
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Published in |
Genome Medicine, September 2014
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DOI | 10.1186/s13073-014-0068-4 |
Pubmed ID | |
Authors |
Elena Tosti, Joseph A Katakowski, Sonja Schaetzlein, Hyun-Soo Kim, Colm J Ryan, Michael Shales, Assen Roguev, Nevan J Krogan, Deborah Palliser, Michael-Christopher Keogh, Winfried Edelmann |
Abstract |
The evolutionarily conserved DNA mismatch repair (MMR) system corrects base-substitution and insertion-deletion mutations generated during erroneous replication. The mutation or inactivation of many MMR factors strongly predisposes to cancer, where the resulting tumors often display resistance to standard chemotherapeutics. A new direction to develop targeted therapies is the harnessing of synthetic genetic interactions, where the simultaneous loss of two otherwise non-essential factors leads to reduced cell fitness or death. High-throughput screening in human cells to directly identify such interactors for disease-relevant genes is now widespread, but often requires extensive case-by-case optimization. Here we asked if conserved genetic interactors (CGIs) with MMR genes from two evolutionary distant yeast species (Saccharomyces cerevisiae and Schizosaccharomyzes pombe) can predict orthologous genetic relationships in higher eukaryotes. |
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Unknown | 1 | 100% |
Demographic breakdown
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 42 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 12 | 29% |
Student > Ph. D. Student | 9 | 21% |
Student > Bachelor | 5 | 12% |
Student > Master | 3 | 7% |
Student > Doctoral Student | 2 | 5% |
Other | 3 | 7% |
Unknown | 8 | 19% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 8 | 19% |
Medicine and Dentistry | 2 | 5% |
Environmental Science | 1 | 2% |
Computer Science | 1 | 2% |
Other | 4 | 10% |
Unknown | 7 | 17% |