Fig. 3: Implementation and kinetic simulation of three-layer three-input DNP. | Nature Communications

Fig. 3: Implementation and kinetic simulation of three-layer three-input DNP.

From: Microenvironment-confined kinetic elucidation and implementation of a DNA nano-phage with a shielded internal computing layer

Fig. 3

a Schematic figure of DNP2-based cellular recognition. b The logic flowchart and truth table of DNP2. c Reaction pathways of DNP2-based computation in target cell microenvironment. d Simulated kinetic curve of different species in DNP2-based computation. e Real-time fluorescent kinetics of DNP2 after adding c-sgc4f and c-sgc8c. f Flow cytometry analysis of CEM cells treated with cage-Nb, cage-Nb-sgc4f, cage-Nb-sgc8c, and DNP2 in Cy5 channel, TAMRA channel and FAM channel. g Flow cytometry analysis-based fluorescence intensity statistics of five different cancer cells treated with cage-Nb, cage-Nb-sgc4f, cage-Nb-sgc8c, and DNP2 in Cy5 channel, TAMRA channel and FAM channel. Median values of fluorescence intensity in flow cytometry analysis were used. Data are represented as mean ± s.d. (n = 3 from three independent experiments). h Confocal imaging of CEM cells treated with cage-Nb, cage-Nb-sgc4f, cage-Nb-sgc8c and DNP2. Channels from left to right: Cy5 channel, TAMRA channel, FAM channel, bright-field overlay channel. Scale bar: 20 μm. Source data are provided as a Source Data file.

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