Difference between revisions of "Team:BIT-China/Model"

Modeling is significant for supporting and improving the meaning of our project. Generally speaking, we hope to use mathematics methods to verify the feasibility and validity of our project. In this modeling, four core variables were introduced: fluorescence intensity of DFCH-DA probe, fluorescence intensity of roGFP2-Orp1 protein, external H₂O₂ concentration and intracellular H₂O₂ concentration.

roGFP2-Orp1 protein expression cassette is our core manner for detecting and measuring ROS level. In the further application of our device, users can calculate antioxidative ability by collecting roGFP2-Orp1fluoresecent intensities data. The whole modeling goes with the goal that making roGFP2-Orp1 realize it’s proper functions.

To verify the functions of yno1\ndi1 genes and roGFP2-Orp1 fluorescent protein, DCFH-DA fluorescent probe was chosen as our output signal reference, which can detect and measure ROS concentration changes and present relative antioxidative strength. The process is indirect, so we set up Fluorescent Probes Model to normalize fluorescence intensities and H₂O₂ concentration, which made them comparable to each other.

To simulate the accumulation of intracellular H₂O₂ and set a relationship with external H₂O₂(the external H₂O₂ is the H₂O₂ we added in media), H₂O₂ Decomposition Model was induced.

With simulating the process that how roGFP2-Orp1 generates, reacts and degrades inside cells, roGFP2-Orp1 Michealis equation Model described the connection between roGFP2-Orp1 and intracellular H₂O₂.