Inference of secreted protein signaling activities in intercellular communication

TL;DR - SecAct is a computational framework that uses transcriptomic data to infer secreted-protein signaling activities in intercellular communication. It may help researchers study cell-to-cell signaling when direct protein measurements are unavailable.

• Published online in Nature Methods on 30 July 2026.
• Focuses on signaling mediated by secreted proteins between cells.
• The provided content does not specify SecAct’s methodology, benchmarks, or validation results.