Research On Transboundary Regulation Of Plant-derived Exogenous MiRNA Based On Biological Big Data

In recent years,researchers have found plant miRNA(plant xenomiR)in mammalian samples,but it is not known whether it exists stably and participates in transboundary regulation.In order to further explore the transboundary regulation methods of plant xenomiR,based on the high-throughput miRNA sequencing data in human health tissues,this paper proposes an effective algorithm and model to study plant xenomiR by using big data analysis method.The research in this paper is of great significance to the research of transboundary regulation of miRNA,the design of Chinese herbal small molecular RNA drugs,and the treatment of human nutritional diseases.This paper proposes and constructs a model of plant xenomiR transboundary regulation based on big biological data.Based on the assumption that plant miRNAs have a transboundary regulation of humans,this article selects a variety of human-edible plant crops to obtain plant miRNA sequence data derived from the vegetables themselves.Based on the plant miRNA data detected in human body samples obtained by the related experimental research in the group,the above data were screened and preprocessed.Then,through the target gene prediction,functional enrichment analysis,GO semantic analysis and other followup analysis work,this paper explore the similarities and differences of these miRNAs in the biological processes of plants and human.In this paper,a multiple dimensional scaling algorithm(MDS)is used to visualize many biological processes in a two-dimensional plane,so as to explore the relationship between biological processes more efficiently.At the same time,it can dig out the regulatory commonness and individuality of plant xenomiR in plant and the human body,and verify the previous results effectively.The results of this study show that,in terms of the commonness of plant xenomiR to human regulation,all three vegetables can regulate the daily development and metabolism of the human body,as well as protein modification,mitotic cell cycle and other biological processes.In terms of their unique regulatory role,soybean can regulate the process of protein ubiquitination.It plays an important role in protein metabolism and degradation.At the same time,it also participates in cell proliferation and differentiation,repair of injury,immune inflammation and other life activities.Rice plays an important role in the development of human body,including the development of nervous system,brain and ventricles.Corn has a regulatory effect on protein phosphorylation.It can regulate the activity and function of protein,which is the most common and important regulatory mechanism.The above research shows that when people eat vegetables,the development and metabolism of the human body will be affected correspondingly,and the physiological functions of all aspects will also change.This conclusion explains the different effects of daily eating habits on human physiological functions.We use the model proposed in this paper to carry out a series of comparative analyses of data,mining the collective and individual differences between samples.This model has important guiding significance for biological experiments,which lays a data foundation for further experimental verification,and provides ideas for subsequent transboundary regulation research.