Fig. 4: Two-input Boolean logic gates in multicellular consortia. | Nature Communications

Fig. 4: Two-input Boolean logic gates in multicellular consortia.

From: Engineering intercellular communication using M13 phagemid and CRISPR-based gene regulation for multicellular computing in Escherichia coli

Fig. 4

A 2-input NOR gate. Left: A schematic representation of an inducible NOR gate design. Right: Average of green fluorescence (arb. units) measured by flow cytometry in the presence or absence of 0.1 mg liter−1 aTc and 1 mM IPTG inducers. Data represents the mean ± SD of 5 independent biological replicates. B 2-input OR gate. Left: A schematic representation of an inducible ‘OR’ gate design. Right: Average of green fluorescence (arb. units) measured by flow cytometry in the presence or absence of 0.1 mg liter−1 aTc and 1 mM IPTG inducers. Data represents the mean +/- SD of 6 independent biological replicates. C 2-input AND gate. Left: A schematic representation of an inducible ‘AND’ gate design. Right: Average of green fluorescence (arb. units) measured by flow cytometry in the presence or absence of 0.025 mg liter−1 aTc and 0.25 mM IPTG inducers. Data represents the mean ± SD of 3 independent biological replicates and error bars represents standard deviation. D 2-input NAND gate. Left: A schematic representation of an inducible ‘NAND’ gate design. Right: Average of green fluorescence (arb. units) measured by flow cytometry in the presence or absence of 0.1 mg liter−1 aTc and 1 mM IPTG inducers. Data represents the mean ± SD of 6 independent biological replicates. For all 2-input gates, the initial sender-to-receiver ratio was 3:1. Fold-change (FC) is calculated by dividing the ‘ON’ state by the ‘OFF’ state, while the quality score (Q) was calculated by dividing the lowest ‘ON’ state by the highest ‘OFF’ state. Source data are provided as a Source Data file.

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