A UV-Induced Genetic Network Links the RSC Complex to Nucleotide Excision Repair and Shows Dose-Dependent Rewiring

被引:18
作者
Srivas, Rohith [1 ]
Costelloe, Thomas [2 ]
Carvunis, Anne-Ruxandra [1 ]
Sarkar, Sovan [3 ]
Malta, Erik [2 ]
Sun, Su Ming [2 ]
Pool, Marijke [2 ]
Licon, Katherine [1 ,5 ]
van Welsem, Tibor [4 ]
van Leeuwen, Fred [4 ]
McHugh, Peter J. [3 ]
van Attikum, Haico [2 ]
Ideker, Trey [1 ,5 ]
机构
[1] Univ Calif San Diego, Dept Med, La Jolla, CA 92037 USA
[2] Leiden Univ, Med Ctr, Dept Toxicogenet, NL-2333 ZC Leiden, Netherlands
[3] Univ Oxford, John Radcliffe Hosp, Weatherall Inst Mol Med, Dept Oncol, Oxford OX3 9DS, England
[4] Netherlands Canc Inst, Div Gene Regulat, NL-1066 CX Amsterdam, Netherlands
[5] Univ Calif San Diego, Inst Genom Med, La Jolla, CA 92037 USA
基金
美国国家卫生研究院;
关键词
CHROMATIN-REMODELING COMPLEX; SACCHAROMYCES-CEREVISIAE; DNA-DAMAGE; YEAST; STRAND; REPLICATION; PATHWAY; RECOMBINATION; ACETYLATION; SPECIFICITY;
D O I
10.1016/j.celrep.2013.11.035
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Efficient repair of UV-induced DNA damage requires the precise coordination of nucleotide excision repair (NER) with numerous other biological processes. To map this crosstalk, we generated a differential genetic interaction map centered on quantitative growth measurements of > 45,000 double mutants before and after different doses of UV radiation. Integration of genetic data with physical interaction networks identified a global map of 89 UV-induced functional interactions among 62 protein complexes, including a number of links between the RSC complex and several NER factors. We show that RSC is recruited to both silenced and transcribed loci following UV damage where it facilitates efficient repair by promoting nucleosome remodeling. Finally, a comparison of the response to high versus low levels of UV shows that the degree of genetic rewiring correlates with dose of UV and reveals a network of dose-specific interactions. This study makes available a large resource of UV-induced interactions, and it illustrates a methodology for identifying dose-dependent interactions based on quantitative shifts in genetic networks.
引用
收藏
页码:1714 / 1724
页数:11
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