School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China.
College of Computer Science and Technology, Jilin University, Changchun 130012, China.
J Healthc Eng. 2021 Jan 31;2021:6656763. doi: 10.1155/2021/6656763. eCollection 2021.
In recent years, researchers have discovered plant miRNA (plant xenomiR) in mammalian samples, but it is unclear whether it exists stably and participates in regulation. In this paper, a cross-border regulation model of plant miRNAs based on biological big data is constructed to study the possible cross-border regulation of plant miRNAs. Firstly, a variety of human edible plants were selected, and based on the miRNA data detected in human experimental studies, screening was performed to obtain the plant xenomiR that may stably exist in the human body. Then, we use plant and animal target gene prediction methods to obtain the mRNAs of animals and plants that may be regulated, respectively. Finally, we use GO (Gene Ontology) and the Multiple Dimensional Scaling (MDS) algorithm to analyze the biological processes regulated by plants and animals. We obtain the relationship between different biological processes and explore the regulatory commonality and individuality of plant xenomiR in plants and humans. Studies have shown that the development and metabolic functions of the human body are affected by daily eating habits. Soybeans, corn, and rice can not only affect the daily development and metabolism of the human body but also regulate biological processes such as protein modification and mitosis. This conclusion explains the reasons for the different physiological functions of the human body. This research is an important meaning for the design of small RNA drugs in Chinese herbal medicine and the treatment of human nutritional diseases.
近年来，研究人员在哺乳动物样本中发现了植物 miRNA（植物 xenomiR），但它是否稳定存在并参与调控尚不清楚。本文构建了基于生物大数据的植物 miRNAs 跨界调控模型，以研究植物 miRNAs 可能存在的跨界调控。首先，选择了多种人类可食用植物，基于人类实验研究中检测到的 miRNA 数据，进行筛选，以获得可能在人体中稳定存在的植物 xenomiR。然后，我们使用植物和动物靶基因预测方法，分别获得可能被调控的动植物 mRNAs。最后，我们使用 GO（基因本体论）和 MDS（多维标度）算法分析植物和动物调控的生物学过程。我们获得了不同生物学过程之间的关系，并探讨了植物 xenomiR 在植物和人类中的调控共性和个性。研究表明，人体的发育和代谢功能受日常饮食习惯的影响。大豆、玉米和大米不仅能影响人体的日常发育和代谢，还能调节蛋白质修饰和有丝分裂等生物学过程。这一结论解释了人体不同生理功能的原因。本研究对中药小 RNA 药物设计和人类营养性疾病的治疗具有重要意义。
