DIISCO:一个贝叶斯框架,用于从时间序列单细胞数据中推断动态细胞间相互作用
Cameron Park1,2,3, Shouvik Mani2,4,3, Nicolas Beltran-Velez4
1Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA.
bioRxiv : the preprint server for biology
|November 28, 2023
概括
DIISCO是一个新的贝叶斯框架,通过单细胞RNA测序,随着时间的推移跟踪细胞-细胞通信动态. 它揭示了细胞相互作用如何演变,提供了对生物过程和疾病进展的见解.
科学领域:
- 计算生物学 计算生物学
- 系统生物学 系统生物学
- 基因组学就是基因组学.
背景情况:
- 了解动态细胞-细胞通信对于生物过程,疾病和治疗反应至关重要.
- 目前的方法难以捕捉时间依赖的细胞间相互作用,并且依赖于有限的数据库.
研究的目的:
- 开发一种新的计算框架来描述细胞细胞通信的时间动态.
- 为了使细胞间相互作用的分析使用多个时间点单细胞RNA测序数据.
主要方法:
- 实施了一个贝叶斯框架,名为DIISCO (通过CO进化进行细胞间信号的动态推理).
- 利用结构化的高斯过程回归来建模时间解析的细胞类型相互作用.
- 结合了对受体-连接体复合体的先前知识,以增强相互作用推断.
主要成果:
- 使用模拟数据证明了DIISCO的可解释性和有效性.
- 应用了DIISCO来分析CAR-T细胞和淋巴瘤细胞共同培养数据.
- 在实验数据中成功发现了动态的细胞-细胞交叉语音模式.
结论:
- DIISCO提供了一种强大的方法来剖析细胞间通信的时间动态.
- 该框架增强了对生物系统,疾病机制和治疗干预措施的理解.
- 迪斯科 (DIISCO) 便于从多个时间点的单细胞数据中发现新的细胞间信号通路.
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