这篇研究文章介绍了名为 Scriabin 的新软件框架。Scriabin 旨在对单细胞分辨率的细胞间通信 (CCC) 进行比较分析，解决了现有方法通常在细胞类型或聚类级别聚合数据、从而丢失单个细胞信息的问题。该框架提供了三种工作流程：细胞间相互作用矩阵 (CCIM) 工作流程（适用于较小数据集）、概括相互作用图谱 工作流程（适用于大型比较分析）和相互作用程序发现 工作流程（适用于任何规模的数据集）。文章通过分析已发表的数据集、基因扰动筛选和直接实验验证，证明了 Scriabin 能够准确识别被聚合方法掩盖的通信网络和空间特征，并能用于组装纵向数据集中的通信回路。References: Wilk A J, Shalek A K, Holmes S, et al. Comparative analysis of cell–cell communication at single-cell resolution[J]. Nature Biotechnology, 2024, 42(3): 470-483.
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