Identifying Cell Cycle Modulators That Selectively Target ARID1A Deficiency Using High-Throughput Image-Based Screening.
Identifying Cell Cycle Modulators That Selectively Target ARID1A Deficiency Using High-Throughput Image-Based Screening.
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使用高通量图像筛选来识别选择性针对 ARIDIA 缺陷的细胞周期调节剂
DOI:
10.1177/2472555217698942
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发表时间:
2017-08
期刊:
影响因子:
--
通讯作者:
Peng G
中科院分区:
文献类型:
--
作者:
Zhang L;Shen J;Yin Y;Peng Y;Wang L;Hsieh HJ;Shen Q;Brown PH;Tao K;Uray IP;Peng G
ARID1A, a component of the chromatin remodeling complex SWI/SNF, is an evolutionarily conserved complex that uses the energy of adenosine triphosphate hydrolysis to remodel chromatin structure and functions as a master regulator of gene transcription. Recent genomic studies have revealed that ARID1A is one of the most frequently mutated genes in human cancers. However, therapeutic approaches that selectively target ARID1A-mutant tumors are not yet clinically available. Our previous study showed that ARID1A facilitates chromatin response and cell cycle checkpoint activation after DNA damage. Therefore, an ARID1A deficiency may result in therapeutic vulnerabilities in cell cycle modulators. The goals of our study were to develop a novel screening approach, based on fluorescent ubiquitination-based cell cycle indicators (FUCCI), and to identify chemical agents that can selectively modulate the cell cycle transition in ARID1A-deficient cancer cells. Using this high-throughput assay, we screened 2643 compounds and identified six potential chemical modulators that can selectively modulate the cell cycle in ARID1A-deficient cells; these agents may be useful for developing new therapeutics for ARID1A-mutant tumors. In summary, our study demonstrates that FUCCI cell-based high-content screening is a powerful and effective approach for identifying cell cycle modulators and can be applied to multigenotypic screening for targeted cancer therapeutics.
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影响因子:
48
作者:
Chittajallu DR;Florian S;Kohler RH;Iwamoto Y;Orth JD;Weissleder R;Danuser G;Mitchison TJ
通讯作者:
Mitchison TJ
影响因子:
64.5
作者:
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23.9
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影响因子:
28.2
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Shen J;Peng Y;Wei L;Zhang W;Yang L;Lan L;Kapoor P;Ju Z;Mo Q;Shih IeM;Uray IP;Wu X;Brown PH;Shen X;Mills GB;Peng G
通讯作者:
Peng G