一个模块化主调节景观控制癌症转录特征
Evan O Paull1, Alvaro Aytes2, Sunny J Jones1
1Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032, USA.
Cell
|January 12, 2021
概括
这项研究揭示了癌细胞的遗传变化如何通过识别称为主调节剂 (MRs) 的关键蛋白质来产生不同的瘤亚型. 这些MRI可以解释癌症
科学领域:
- 基因组学
- 癌症生物学
- 系统生物学
背景情况:
- 癌细胞基因组变化与转录身份相关的机制尚不清楚.
- 识别不同的瘤亚型及其潜在的遗传驱动因素对于向治疗至关重要.
研究的目的:
- 阐明基因组变化与癌细胞转录特征之间的联系.
- 确定新的瘤亚型及其调节机制.
- 在癌症中建立非癌基因依赖性.
主要方法:
- 在癌症基因组图谱 (TCGA) 数据上使用基于网络的综合基因分析方法.
- 主调节器 (MR) 蛋白和主调节器块模块 (MRB) 的识别和组织.
- 基于体质变化的异常MR活动预测.
- 基因和药物验证试验.
主要成果:
- 在20个TCGA队列中确定了407种MR蛋白,定义了112种转录上不同的瘤亚型.
- 将MR蛋白组织成24个全癌MRB, 调节癌症特征并预测患者的结果.
- 预计超过50%的体质变化会导致异常的MR活动.
- 验证了突变和MR活动对细胞特征和表型的影响.
结论:
- 对突变和基因表达特征的联合分析成功确定了难以捉摸的瘤亚型.
- 建立了一个理解基因变化如何影响瘤转录身份的框架.
- 为癌症中遗传变化的影响提供了可测试的假设,并确定了潜在的非癌基因依赖性.
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