Single-cell RNA-sequencing and spatial transcriptomics data enable the inference of how information is transmitted from one cell to another and how it modulates gene expression within cells. Now, a learning method infers networks describing how the inflow of one signal, mediated by intracellular gene modules, drives the outflow of other signals for intercellular communication.
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References
Armingol, E., Baghdassarian, H. M. & Lewis, N. E. The diversification of methods for studying cell–cell interactions and communication. Nat. Rev. Genet. 25, 381–400 (2024). A review on methods to infer cell–cell communication from single-cell and spatial transcriptomics.
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This is a summary of: Almet, A. A., Tsai, Y.-C., Watanabe, M. & Nie, Q. Inferring pattern-driving intercellular flows from single-cell and spatial transcriptomics. Nat. Methods https://doi.org/10.1038/s41592-024-02380-w (2024).
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A structural learning method to uncover how information between single cells flows. Nat Methods (2024). https://doi.org/10.1038/s41592-024-02381-9
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DOI: https://doi.org/10.1038/s41592-024-02381-9
