差异细胞信号测试用于通过dominoSignal从单细胞数据推断细胞-细胞通信
Jacob T Mitchell1,2,3,4,5, Orian Stapleton1,2,3,4,6, Kavita Krishnan6,7,8
1Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, Maryland United States.
Bioinformatics (Oxford, England)
|February 26, 2026
概括
dominoSignal软件引入了差异细胞信号的统计测试,使单细胞数据对细胞-细胞通信网络进行了可靠的分析. 这种工具增强了条件之间的比较,并确定了生物系统中显著的信号变化.
科学领域:
- 计算生物学 计算生物学
- 单细胞分析 单细胞分析
- 系统生物学 系统生物学
背景情况:
- 灵受体网络推断算法对于估计单细胞数据的细胞-细胞通信至关重要.
- 现有的方法往往缺乏统计严格性来识别条件之间的差异信号.
- 多米诺算法以前将基因表达与转录因子活性集成为细胞通信推断.
研究的目的:
- 开发和推出dominoSignal,这是一个扩展Domino能力的软件包.
- 为了使差异细胞信号的统计严格测试.
- 为了促进细胞对细胞通信的分析,以应对各种干扰.
主要方法:
- 开发DominoSignal软件,其中包括差分细胞信号测试 (DCST).
- 将活动信号编译成跨多个主体的链接,并测试条件依赖信号.
- 模拟研究的应用用于对准数据要求,以准确识别差异链接.
- 利用来自癌症研究的单细胞数据来研究表型和免疫治疗对瘤微环境通信的影响.
主要成果:
- dominoSignal允许从多个主体单细胞数据集中编译和统计测试主动信号链接.
- 该软件可容纳具有生物或引导复制的数据集,对于数据集具有很少或聚合主题的数据集至关重要.
- 证明了DCST在dominoSignal中的实用性,用于推断癌症和免疫疗法环境中的通信网络变化.
结论:
- dominoSignal为分析差异细胞信号提供了一个统计学上强大的框架.
- 该软件广泛适用于各种生物系统,以了解通信网络的变化.
- 促进解释由治疗或实验干预引起的细胞间通信变化.
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