项目名称: 多种真核生物多聚腺苷化信号的识别及其演化研究
项目编号: No.61201358
项目类型: 青年科学基金项目
立项/批准年度: 2013
项目学科: 电子学与信息系统
项目作者: 吴小惠
作者单位: 厦门大学
项目金额: 25万元
中文摘要: 多聚腺苷化[poly(A)]及选择性多聚腺苷化(APA)是基因表达调控的重要途径,是由poly(A)信号调控的。Poly(A)信号对剪切、转录终止及翻译起关键作用。仍有超过20%的动物及高达90%的植物非典型poly(A)信号的特征有待识别,且新发现的与反向转录或转录通读有关的APA位点的调控机制也尚不清晰。基于多年研究基础,本项目拟从全基因组水平分析海量测序数据,识别poly(A)信号的一级序列及二级结构特征;分析新发现不同类型APA位点的poly(A)信号,构建poly(A)信号共调网络;建立poly(A)信号动态分析模型,系统研究不同真核生物poly(A)信号演化模式;开发poly(A)信号识别与分析的生物信息可视化平台。此研究有利于从反向转录和通读等新视角探索APA机制,能加深对poly(A)信号起源与进化的认识,也有助于3'末端加工相关疾病的治疗及更深入了解复杂的转录后调控机制。
中文关键词: 多聚腺苷化信号;转录后调控;二级结构;基因组学数据;进化分析
英文摘要: Polyadenylation and alternative polyadenylation (APA) have been shown to play an important role in gene expression regulation, which are regulated by poly(A) signals. Poly(A) signals are critical to cleavage, transcription termination and translation. However, the features of more than 20% mammalian poly(A) signals and up to 90% plant poly(A) signals remain to be further characterized. Moreover, the regulation mechanism of the newly found APA sites relevant to read-through transcription and antisense transcription remains unclear. This project will focus on transcriptomic data obtained from Next-Generation Sequencing (NGS), a data source providing greater depths and wider coverage of transcriptomes and enabling us to employ innovative new methodologies in bioinformatics studies of polyadenylation and poly(A) signals. Based on our studies about polyadenylation in the past several years, firstly, we will build an integrated poly(A) signal recognition model for the genome-wide identification of the primary sequence features and the secondary structures, and the exploration of the co-occurring interactions among different elements. Using high-quality and high-magnitude poly(A) data, we then classify APA sites based on their locations, types and biological consequences related to read-through transcription or antisen
英文关键词: polyadenylation signal;post-transcriptional regulation;secondary structure;genomics data;evolutionary analysis