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Due to the spatial localization of large cooperative benefits, cells near population borders grow faster than those farther away.
One particular example of intercellular communication is the exchange of information between adjacent cell populations in order to define and detect population borders.
After characterization and optimization of the sender/receiver cell population as well of the processing cell population we set up the synthetic cell-cell communication network for the detection of population borders.
This step is crucial for establishment of the system for computation of population borders, but, as a side effect, also substantially reduces the interleukin-4 concentration at the population border.
Since acetaldehyde is a gaseous substance, it was not possible to directly apply this system for the computation of population borders, where the spatially-defined diffusion of the signaling molecules is crucial.
Beyond this proof-of-principle, our synthetic network opens up the possibility to emulate intercellular communication systems that require the computation of population borders as sharper or wider edges, simply by tuning key parameters of the system.
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The sender/receiver cell population produces the first communication signal that diffuses across the population border and is perceived by the processing cell population (Fig. 1a).
Communication between the populations takes place via L-tryptophan and interleukin-4 and results in the production of a fluorescent protein at the population border.
The two populations communicate via L-tryptophan and interleukin-4 to highlight the population border by the production of a fluorescent protein.
Based on these determinations, combining our sender/receiver cell population with the processing cell population with the 1000 1 plasmid ratio should lead to a sharper YFP expression zone at the population border.
Since the choice of the processing population with the 1000 1 plasmid ratio could thus no longer suffice for the full activation of the sender/receiver cells at the population border (as later confirmed in the supplementary Additional file 1: Figure S1), we decided to proceed with the processing cell population with a 100 1 plasmid ratio.
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