组蛋白修饰与基因表达调控的相关性分析

项目名称： 组蛋白修饰与基因表达调控的相关性分析

项目编号： No.61462068

项目类型： 地区科学基金项目

立项/批准年度： 2015

项目学科： 计算机科学学科

项目作者： 张利绒

作者单位： 内蒙古大学

项目金额： 46万元

中文摘要： 大量的实验和信息学分析结果表明，基因的转录、剪接和表达是一个由多因素共同作用的复杂系统，组蛋白修饰与基因的表达调控和剪接过程有着密切的联系。基于新一代测序技术所产生的高通量的组蛋白修饰的ChIP-seq数据、基因表达的RNA-seq数据、基因组、蛋白质组等数据，开发新的异种数据整合算法，挖掘这些来自不同实验方法的异质的海量数据中所蕴涵的不同生物学过程或者生物元素之间的潜在联系。利用统计分析、信号识别以及最新的机器学习理论，建立理论模型，分析基因区域、启动子、剪接位点等功能区域的组蛋白修饰的相对丰度和分布特征，寻找各种组蛋白修饰协同调控基因的激活或抑制的机制,分析组蛋白修饰与基因表达、剪接及可变剪接、DNA序列特征、以及转录因子、剪接因子等调控元素间的相互关联，研究这种相互作用模式的起源和保守性。

中文关键词： 相关性分析；组蛋白修饰；基因表达调控

英文摘要： Experiments and bioinformatics analysis showed that the transcription, splicing and gene expression constitute a complex system affected by various factors. The histone modifications is closely related to the regulation process of gene expression and splicing. Currently, the next-generation sequencing coupled with chromatin immunoprecipitation (ChIP-seq) and high-throughput RNA sequencing are becoming key experimental approaches in the study of gene expression. Due to the histone modifications data generated from ChIP-seq, the RNA-seq data, genome and proteome, we aimed to develop a novel computational biology method to integrate and interpret such heterogeneous data sets. We also aimed to reveal the plausible associations of various biological processes or biological elements by analyzing the overwhelming amount of heterogeneous data from different experimental procedure. Based on Statistical analysis, signal pattern recognition and the latest machine learning technology, a theoretical model will be built to analyze the relative abundance and distributes characteristic of histone marks in functional regions such as gene body, promoter, splicing site，to investigate the regulation mechanism between the activation or inhibition of gene expression and various histone modifications. To get a better understanding the potential interplay of histone modifications, we will analyze its associations with gene expression, RNA splicing and alternative splicing, sequence characteristic, transcription and splicing factors, and so on. By testing the models in different cell types and species, we expect to get the origin and the conservative of the interaction models

英文关键词： correlation analysis;histone modification;regulation of gene expression