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Inference of secreted protein signaling activities in intercellular communication

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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.

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Inference of secreted protein signaling activities in intercellular communication

Nature Methods Beibei Ru, Lanqi Gong, Emily Yang, Seongyong Park, George Zaki, Kenneth Aldape, Lalage Wakefield, Peng Jiang 2026-07-30 doi:10.1038/s41592-026-03172-0
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Providers: Hugging Face · N/A OpenAlex · Citations 0 Publisher · N/A Semantic Scholar · N/A X · N/A Fetched 2026-08-28 14:33:39.132884 UTC

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.
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