基于高通量数据的外源性植物miRNA跨界调控建模

发布时间：2017-12-27 22:39

本文关键词：基于高通量数据的外源性植物miRNA跨界调控建模　出处：《吉林大学》2017年硕士论文　论文类型：学位论文

【摘要】：micro RNA(mi RNA)是由21~23个核苷酸组成的一种非编码小分子RNA。它在生物体内通过降解靶m RNA或阻遏靶m RNA翻译调控基因表达,调控生物体细胞的生长、分化、凋亡等生物过程。已经有研究证实,细菌、病毒的mi RNA在人体存在着跨界调控。近年来有研究发现植物mi RNA可以通过摄食进入并稳定存在于人体中,且保持其生物活性,使得外源性植物mi RNA是否对人体产生跨界调控成为mi RNA研究领域的热点问题。为探究植物mi RNA在人体中可能存在的跨界调控作用,本文基于公开发表的数据对人体外源性植物mi RNA进行挖掘,其中包括对已经实验证实的人体外源性植物mi RNA的数据以及目前人体血清的高通量mi RNA测序数据。对于高通量数据,本文首先通过预处理过滤掉低质量数据,其次通过与植物mi RNA序列比对,获得存在于人体的外源性植物mi RNA。最后在数据分析的基础上,本文共得到54条存在于人体的外源性植物mi RNA,并以这些获取的54条外源性植物mi RNA进行植物-人体的跨界调控分析。所谓植物-人体的跨界调控分析,就是建立植物-人体跨界调控模型。首先对外源性植物mi RNA进行外源性植物-人m RNA全基因组靶基因预测及筛选。其次,基于经过两次筛选得出的靶基因建立调控网络,并基于基因节点间存在的相互作用关系计算节点网络权值,选取核心节点。最后,对核心节点进行网络核心模块挖掘,分析核心模块涉及的调控通路和参与的主要功能,即找到外源性植物mi RNA在人体中可能存在的调控作用。本文通过植物-人体跨界调控模型,挖掘出9个核心模块,分别是AXIN1,HOXB1,ATP5D,MAPK8IP2,ZAP70,MTNR1B,GPR35和GYS1。结果表明,外源性植物mi RNA参与调控人体胺代谢、酒精代谢以及脂肪酸代谢等生物过程。由此可见,饮食习惯的不同,可能对人体的健康和生理机能产生影响。本文为通过高通量数据分析发现人体内外源性植物mi RNA提供新方法,对于中国传统中草药mi RNA的治疗模式具有理论的指导意义,可以从本质上揭示植物的营养价值,对进一步研究人类健康与日常饮食习惯的关系具有重要意义。
[Abstract]:Micro RNA (MI RNA) is a non coding small molecule RNA, which is composed of 21~23 nucleotides. It regulates the biological processes of cell growth, differentiation and apoptosis through the degradation of target m RNA or repressor target m RNA in vivo. It has been confirmed that the MI RNA of bacteria and virus has transboundary regulation in human body. In recent years, studies have found that plant mi RNA can enter and stably exist in human body through ingestion, and maintain its biological activity, making the exogenous plant mi RNA regulate the human body's transboundary regulation. It has become a hot topic in the research field of MI RNA. For cross-border regulation of plant mi RNA on may exist in the body, the mining of human exogenous plant mi RNA based on the published data, including the human body has been confirmed experimentally the exogenous plant mi RNA data and the current human serum high-throughput sequencing data of MI RNA. For high-throughput data, we first filtered low quality data through pretreatment, and then compared with plant mi RNA sequence, we obtained mi RNA which existed in human body. Finally, based on data analysis, 54 human mi RNA were obtained, and 54 transgenic plants, MI RNA, were used to analyze the transboundary regulation of plant human body. The so-called plant - human transboundary control analysis is to establish a plant - human transboundary regulation model. First, the whole genome target gene of exogenous plant - human M RNA was predicted and screened for exogenous plant mi RNA. Secondly, based on the target genes after two screening, we establish the regulatory network, and calculate the weight of the node network based on the interaction relationship between the gene nodes, and select the core nodes. Finally, the core nodes of the network were excavated, and the main functions of the core modules involved in the regulation were analyzed. That is to find the possible regulatory role of exogenous plants mi RNA in the human body. In this paper, through the plant - human transboundary control model, 9 core modules are excavated, which are AXIN1, HOXB1, ATP5D, MAPK8IP2, ZAP70, MTNR1B, GPR35 and GYS1. The results showed that the exogenous plant mi RNA was involved in the regulation of human amine metabolism, alcohol metabolism and fatty acid metabolism. It can be seen that different dietary habits may affect the health and physiological functions of the human body. This paper through the high-throughput data analysis found that the source of human body and plant mi RNA provide a new method and has theoretical significance for China traditional Chinese herbal medicine mi RNA treatment model can reveal the nutritional value of plants in nature, is of great significance for the further study on the relationship between human health and diet habits.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：Q78

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