拥挤环境下的促进扩散动力学研究
[Abstract]:DNA-binding proteins, such as transfer-in factors and DNA repair proteins, are critical to the process of searching for their specific binding target sites located in a large number of non-specific binding sites of DNA, These bioreaction processes include the expression and management of genes, and the like. In the 1970s, Riggs et al., in vitro, found that the search for specific binding proteins to their DNA-specific targets was very rapid and efficient, with a rate of about 100-fold higher than the three-dimensional limit diffusion limit. In order to explain the contradiction between the abnormally large protein and the DNA-specific binding rate and the three-dimensional limit diffusion rate, Berg et al. proposed and developed a diffusion mechanism that is now widely accepted and applied in a series of groundbreaking articles. The basic idea of promoting the diffusion mechanism is that the process of protein search specific target uses three-dimensional diffusion in solution and one-dimensional slip on the DNA chain. Subsequently, a number of theoretical aspects of the promotion of diffusion, experimental aspects, and numerical simulation have been developed and developed. In the first chapter, we present a review of the progress in the study of the diffusion of diffusion. For nearly a decade, scholars have paid more attention to the study of the mechanism of promoting the diffusion in the in-vivo environment. Macromolecules, such as proteins, ribosomes, and the like, are present in the biological cells of 10% to 40% of the cell volume fraction. These macromolecules in the cells result in a crowded intracellular environment. The molecular crowding effect has a very important effect on the target search dynamics. In the second chapter, we used the theoretical analysis and the two-dimensional Langevan's method to study the role of the molecular crowding effect in the target search dynamics. We find that the search time is increasing monotonously with the increasing of the concentration of the congestion agent, and by further study of the dynamics detail in the search process, we find that the main reason for this monotonic increase is that the average number of cycles and the average one-dimensional diffusion time increase monotonically, While the average two-dimensional diffusion time is substantially unchanged as the change in the concentration of the congestion agent particles. In addition, for the two-dimensional diffusion, the cage effect brought by the congested molecules reduces the two-dimensional jump length and narrows the distribution of the two-dimensional jump length. Within the cell, nearly 30% of the DNA strand sites are covered by the congested macromolecules to form a barrier that blocks the one-dimensional search of specific binding proteins. In the third chapter, we study the effect of the barrier particles on the promotion of the diffusion kinetics by using the three-dimensional dynamic simulation method. In the case of a pair of barrier particles that are placed symmetrically about the target particle, we find that, as the distance between the barrier particles and the target particles increases, the average search time is then rapidly reduced and then tends to be gentle. The search time may initially increase and reach the maximum with any placement of the plurality of barrier particles, and then a surprising reduction as the concentration of the barrier particles in any place increases. The search time may also always increase as the concentration of the barrier particles increases, depending on the size of the non-specific binding energy and the volume fraction of the DNA strand in the total space. Our findings have coordinated the conclusions of the previous study on the role of the barrier particles in the target search process. In particular, the above-described non-monotonic behavior of the roadblock as the threshold value changes indicates that the barrier particles may be in favor of the target search after reaching a certain critical value. In the fourth chapter, the subdiffusion of the protein in the solution and its implied molecular crowding conditions are of concern to us. In the three-dimensional solution, we use fractional Brownian motion to simulate the abnormal Brownian motion and the sub-diffusion motion of the protein particles. We have shown that the mean search time for changes in non-specific binding energy levels has a significant minimum value, whether in normal or sub-proliferation. We have found that for a smaller sub-diffusion index, the longer the best target search time with time changes, and such a trend is very clear. The increase in the average search time for smaller cases is attributed to the increase in the average three-dimensional diffusion time and the more repeated site search resulting from the motion characteristics of the fractional Brownian motion. We believe that our work provides a more in-depth understanding and a new field of view for the study of the promotion of diffusion kinetics in the intracellular environment.
【学位授予单位】:中国科学技术大学
【学位级别】:博士
【学位授予年份】:2017
【分类号】:Q61
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