1192-CytoSignal: Decoding Cellular Communication Dynamics

The paper introduces CytoSignal, a novel computational tool designed to map cell-cell communication using spatial transcriptomic data at single-cell resolution. Unlike previous methods that analyze broad cell groups, this approach identifies the precise locations and dynamics of signaling interactions for specific ligand-receptor pairs. The tool distinguishes between contact-dependent and diffusion-based signaling while also predicting how these interactions change over time through a framework called VeloCytoSignal. Researchers validated these findings using proximity ligation assays (PLA) to confirm that the predicted protein-level interactions match physical reality in biological tissues. Ultimately, the study demonstrates CytoSignal's ability to uncover spatial gradients, identify signaling-associated genes, and provide a more accurate understanding of how cells coordinate during development and disease.References:Liu J, Manabe H, Qian W, et al. CytoSignal detects locations and dynamics of ligand–receptor signaling at cellular resolution from spatial transcriptomic data[J]. Nature Genetics, 2026: 1-13.前往小宇宙评论区与主播互动