多重单细胞化学基因组学揭示了针对性治疗反应的激酶依赖性
José L McFaline-Figueroa1,2, Sanjay Srivatsan2,3, Andrew J Hill2
1Department of Biomedical Engineering, Columbia University, New York, NY, USA.
bioRxiv : the preprint server for biology
|July 3, 2023
概括
这项研究引入了sci-Plex-Gene-by-Environment (sci-Plex-GxE) 用于大规模单细胞查. 它揭示了质母细胞瘤的适应信号,并建议结合疗法来克服药物耐药性.
科学领域:
- 在瘤学瘤学.
- 遗传学 是一个遗传学.
- 分子生物学分子生物学
背景情况:
- 化学遗传查提供了对癌症药物反应的见解,但缺乏单基因分辨率.
- 了解基因与环境的相互作用对于个性化癌症治疗至关重要.
研究的目的:
- 开发和验证sci-Plex-Gene-by-Environment (sci-Plex-GxE),这是一个可扩展的平台,用于组合单细胞遗传和化学查.
- 研究个体基因对质母细胞瘤药物反应的贡献.
- 确定克服癌症治疗适应的策略.
主要方法:
- 开发了sci-Plex-GxE用于高通量,单细胞查基因环境相互作用.
- 选了522个针对质母细胞瘤的人类激酶,并与受体氨酸激酶通路抑制剂结合使用.
- 分析了超过100万个单细胞转录组,以识别适应性信号签名.
主要成果:
- 确定了522激酶在质母细胞瘤对向治疗的反应中的作用.
- 确定了一种与补偿性自适应信号相关的依赖MEK/MAPK的表达特征.
- 发现向MEK与CDC7/CDK9或NF-kB抑制剂相结合可以防止质母细胞瘤适应.
结论:
- sci-Plex-GxE能够大规模,公正地发现癌症中的基因环境相互作用.
- 质母细胞瘤中的自适应信号通路可以被准以提高治疗效果.
- 涉及MEK抑制剂的组合疗法显示出克服质母细胞瘤药物耐药性的前景.
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