Light-activated signaling in dna-encoded sender-receiver architectures

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Abstract

Collective decision making by living cells is facilitated by exchange of diffusible signals where sender cells release a chemical signal that is interpreted by receiver cells. A variety of nonliving artificial cell models have been developed in recent years that mimic various aspects of diffusion-based intercellular communication. However, localized secretion of diffusive signals from individual protocells, which is critical for mimicking biological sender-receiver systems, has remained challenging to control precisely. Here, we engineer lightresponsive, DNA-encoded sender-receiver architectures, where protein-polymer microcapsules act as cell mimics and molecular communication occurs through diffusive DNA signals. We prepare spatial distributions of sender and receiver protocells using a microfluidic trapping array and set up a signaling gradient from a single sender cell using light, which activates surrounding receivers through DNA strand displacement. Our systematic analysis reveals how the effective signal range of a single sender is determined by various factors including the density and permeability of receivers, extracellular signal degradation, signal consumption, and catalytic regeneration. In addition, we construct a three-population configuration where two sender cells are embedded in a dense array of receivers that implement Boolean logic and investigate spatial integration of nonidentical input cues. The results offer a means for studying diffusion-based sender-receiver topologies and present a strategy to achieve the congruence of reactiondiffusion and positional information in chemical communication systems that have the potential to reconstitute collective cellular patterns.

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Yang, S., Pieters, P. A., Joesaar, A., Bögels, B. W. A., Brouwers, R., Myrgorodska, I., … De Greef, T. F. A. (2020). Light-activated signaling in dna-encoded sender-receiver architectures. ACS Nano, 14(11), 15992–16002. https://doi.org/10.1021/acsnano.0c07537

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