基于高通量数据的人体外源性植物miRNA跨界调控建模

doi:10.13229/j.cnki.jdxbgxb20170521

吉林大学学报(工学版) ›› 2018, Vol. 48 ›› Issue (4): 1206-1213.doi: 10.13229/j.cnki.jdxbgxb20170521

基于高通量数据的人体外源性植物miRNA跨界调控建模

张浩^1,2, 占萌苹^2,3, 郭刘香^2,3, 李誌⁴, 刘元宁^1,2, 张春鹤^1,2, 常浩武^1,2, 王志强^1,2

1.吉林大学计算机科学与技术学院,长春 130012;
2.吉林大学符号计算与知识工程教育部重点实验室,长春 130012;
3.吉林大学软件学院,长春 130012;
4.长春理工大学应用技术学院,长春 130022

收稿日期:2017-04-27 出版日期:2018-07-01 发布日期:2018-07-01
通讯作者: 刘元宁(1962-),男,教授,博士生导师.研究方向:生物信息学.E-mail:liuyn@jlu.edu.cn
作者简介:张浩(1971-),男,教授,博士.研究方向:生物信息学.E-mail:zhangh@jlu.edu.cn
基金资助:
吉林省科技发展计划项目(20150101056JC); 中国博士后科学基金项目(2015M570273).

Human exogenous plant miRNA cross-kingdom regulatory modeling based on high-throughout data

ZHANG Hao^1,2, ZHAN Meng-ping^2,3, GUO Liu-xiang^2,3, LI Zhi⁴, LIU Yuan-ning^1,2, ZHANG Chun-he^1,2, CHANG Hao-wu^1,2, WANG Zhi-qiang^1,2

.College of Computer Science and Technology, Jilin University, Changchun 130012, China;
2.Symbol Computation and Knowledge Engineering of Ministry of Education,Jilin University,Changchun 130012,China;
3.College of Software, Jilin University, Changchun 130012,China;
4.College of Applied Technique, Changchun University of Science and Technology, Changchun 130022, China

Received:2017-04-27 Online:2018-07-01 Published:2018-07-01

摘要/Abstract

摘要： 以基于人体血清的高通量测序数据为研究对象,采用生物计算方法对数据进行分析,以目前已知的人类和植物的RNA数据作为参照集,从中筛选出可能的人体外源植物miRNA;基于miRNA的调控机制原理,获得可能的植物miRNA干扰人类mRNA的靶基因;构建植物miRNA-人类mRNA调控网络模型,分析可能的跨界调控作用。本文通过构建植物-人体跨界调控模型,共挖掘出9个核心模块。研究结果表明,外源性植物miRNA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。

关键词: 人工智能, 高通量数据, 外源性植物miRNA, 跨界调控

Abstract: Exogenous miRNAs are cross-kingdom regulatory in bacteria and viruses, but whether exogenous plant miRNAs are stable in the human body and are involved in cross-kingdom regulation is still controversial. Only by cross-border modeling on the basis of a comprehensive analysis of the human high-throughput miRNA data, and design of effective biological experiments, the human exogenous plant miRNA presence, access pathways and regulatory role can be revealed. In this paper, high-throughput sequencing data based on human serum were used as the study objective and were analyzed by bio-calculation method. The possible human exogenous plant miRNAs were screened by using the RNA data of human and plant as the reference group. Based on the principle of miRNA regulatory mechanism, the possible target genes of plant miRNAs interfering with human mRNA were obtained. A network model of plant miRNA-human mRNA was constructed to analyze possible cross-kingdom regulation. Nine core modules were excavated by constructing a plant-human cross-kingdom regulation model. The results show that exogenous plant miRNAs are involved in the regulation of biological process such as human amine metabolism, alcohol metabolism and fatty acid metabolism.

Key words: artificial intelligence, high throughput data, exogenous plant miRNA, cross-species regulation

中图分类号:

TP399

张浩, 占萌苹, 郭刘香, 李誌, 刘元宁, 张春鹤, 常浩武, 王志强. 基于高通量数据的人体外源性植物miRNA跨界调控建模[J]. 吉林大学学报(工学版), 2018, 48(4): 1206-1213.

ZHANG Hao, ZHAN Meng-ping, GUO Liu-xiang, LI Zhi, LIU Yuan-ning, ZHANG Chun-he, CHANG Hao-wu, WANG Zhi-qiang. Human exogenous plant miRNA cross-kingdom regulatory modeling based on high-throughout data[J]. 吉林大学学报(工学版), 2018, 48(4): 1206-1213.

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基于高通量数据的人体外源性植物miRNA跨界调控建模

Human exogenous plant miRNA cross-kingdom regulatory modeling based on high-throughout data

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