Research On The Transmission Behavior Of Gap Junction Channels Between Cells

Molecular Communication(MC)is a crucial communication technology for information exchange between nano-machines,which possesses promising application prospects in the domains of environment,industry,and medical treatment.As the significant channel between nano-machines,Gap Junction(GJ)has also been developed rapidly in terms of transmission behavior with the rise of MC technology.However,the GJ transmission behavior model remain certain limitations,and the details of MC are arduous to describe.In addition,the mechanism of the effect of external stimulus signals on the GJ-mediated MC process is not definite enough.To address the issues mentioned above,the detailed contents of research in this thesis are listed as following:1)In the GJ metabolic coupling behavior pattern,calcium ions were utilized as the transmission signal,in view of the limitation of the currently established GJ model that overlooks the discrepancies in connexin types,the penetration rate was introduced as a connexin diversity parameter to optimize the GJ transmission model,which ameliorated the problem that the model enjoys particularity in connection channel.The experimental results demonstrate that the penetration rate parameter is capable of precisely reflecting the transmission differences of disparate connexins,and the optimized model is more suitable for practical biological scenarios.2)Based on the optimized GJ metabolic coupling model,a channel filtering mechanism in line with the influence of GJ protein was proposed for the matter that the details of the MC process are arduous to describe because of the particularity of the model.The basic principle of filtering mechanism was explained,and a star-shaped transmission filtering scheme was designed.Then the optimized model is employed to verify the proposed scheme.The experimental results demonstrate that diverse stimulus intensities and penetration rate of connexin affect the implementation process of filtering.3)In the GJ electric coupling behavior pattern,taking cardiomyocytes as an example,aiming at the issue that the external negative stimulus(high glucose)affects the GJ-mediated MC process is vague,a mathematical model of the relationship between external negative stimuli and GJ quantity was established.By reasoning analysis from information theory,it was concluded that the change in the number of connexins affects the channel capacity and transmission delay.The experimental results demonstrate that the number of GJ protein is decreased by the external negative stimulus,and the channel capacity is gradually reduced,and the transmission delay is continuously increased.Finally,the rationality of the model is verified by the existing biological experiments.The thesis realized the optimization of the GJ metabolic coupling behavior model,perfected the detail of filtering in MC,and enriched the existing MC theory,which is valuable to strengthen the efficiency of drug-targeted therapy;besides,the mathematical model of the relationship between negative stimulus intensity and GJ quantity under electrical coupling was established,and the impact of external stimulus on channel capacity and transmission delay was analyzed,the model is beneficial to design nano-devices of GJ channel.