Cell-Cell Communication
Also known as: intercellular signaling, synthetic cell communication
Engineered molecular signaling systems that enable synthetic cells to exchange information, coordinate behavior, and implement distributed computation across populations.
Cell-Cell Communication refers to engineered molecular signaling pathways that allow synthetic biological cells to transmit and receive information, enabling coordinated multicellular behaviors 1.
How It Works
Most synthetic cell-cell communication systems are built on quorum-sensing components. A sender cell expresses a signal synthase (e.g., LuxI) that produces a diffusible molecule (e.g., AHL). Receiver cells express the cognate receptor (e.g., LuxR) that activates transcription upon signal binding. By distributing circuit components across sender and receiver strains, engineers can implement distributed computation where no single cell performs the full logical operation.
Basu et al. demonstrated programmed pattern formation by creating receiver cells that responded to AHL concentration gradients produced by sender cells, forming ring-like fluorescence patterns 1. Chen et al. built emergent oscillations from a two-strain consortium in which neither strain oscillated alone — the oscillatory behavior emerged from the communication between them 2.
Beyond AHL-based systems, researchers have developed communication channels using other diffusible molecules, including hydrogen peroxide, amino acids, and synthetic peptides. Orthogonal channels enable multi-strain consortia to exchange multiple independent signals simultaneously, scaling the complexity of achievable multicellular programs.
Computational Considerations
Designing multicellular circuits requires models that couple intracellular dynamics with intercellular signal transport. Reaction-diffusion PDEs describe signal gradients in spatially structured environments, while agent-based models capture stochastic cell growth, division, and movement. Computational optimization of channel orthogonality — ensuring minimal crosstalk between communication systems — is critical for scaling to consortia with three or more interacting strains 2.
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Agent-based models simulate communication dynamics in spatially structured populations. Reaction-diffusion models predict signal propagation speeds and pattern formation, while optimization algorithms design orthogonal channel assignments for multi-strain consortia.