神经母细胞瘤
药物发现
细胞培养
癌症研究
小分子
转录因子
生物
预酸化
激酶
计算生物学
表型筛选
化学
细胞生物学
基因
生物信息学
遗传学
生物化学
表型
酶
作者
Michael E. Stokes,Alessandro Vasciaveo,Jonnell C. Small,Arie Zask,Eduard Reznik,Nailah Smith,Qian Wang,Jacob Daniels,F. Forouhar,Presha Rajbhandari,Andrea Califano,Brent R. Stockwell
标识
DOI:10.1016/j.chembiol.2023.11.007
摘要
Transcription factors have proven difficult to target with small molecules because they lack pockets necessary for potent binding. Disruption of protein expression can suppress targets and enable therapeutic intervention. To this end, we developed a drug discovery workflow that incorporates cell-line-selective screening and high-throughput expression profiling followed by regulatory network analysis to identify compounds that suppress regulatory drivers of disease. Applying this approach to neuroblastoma (NBL), we screened bioactive molecules in cell lines representing its MYC-dependent (MYCNA) and mesenchymal (MES) subtypes to identify selective compounds, followed by PLATESeq profiling of treated cells. This revealed compounds that disrupt a sub-network of MYCNA-specific regulatory proteins, resulting in MYCN degradation in vivo. The top hit was isopomiferin, a prenylated isoflavonoid that inhibited casein kinase 2 (CK2) in cells. Isopomiferin and its structural analogs inhibited MYC and MYCN in NBL and lung cancer cells, highlighting the general MYC-inhibiting potential of this unique scaffold.
科研通智能强力驱动
Strongly Powered by AbleSci AI