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Integrative bioinformatics for kinase-concentric phosphorylation networks in Arabidopsis thaliana.

机译:拟南芥中与激酶同心的磷酸化网络的综合生物信息学。

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摘要

Phosphorylation, mediated by various types of protein kinases, is one of the most well studied mechanisms regulating signal transduction. The extensive studies produce a large amount of phosphorylation data, which are scattered and distributed in scientific articles and databases. However, lack of integrative PTM resources, especially in plants, makes it challenging for biological scientists to connect those fragmented data for systematic understanding and global analysis of PTMs. Here we developed an integrative bioinformatics approach combining text mining, data mining, protein ontology, visualization, and analysis methods, thereby facilitating PTM information integration and knowledge discovery in plants.;For Arabidopsis thaliana, we identified a list of the top 15 most literature-documented kinase names through RLIMS-P, a text-mining tool to extract phosphorylation information. The resulting kinase list included PDK1 and PID, which are two kinases involved in a wide range of cellular activities and auxin polar transport respectively. Text-mining results demonstrated that phosphorylation of PID by PDK1 is a primary step to activate PID kinase's regulatory role in auxin polar transport.;Moreover, given that 3 key Brassinosteroid (BR)-signaling components, BRI1, BAK1 and BIN2, were in the kinase list, we assume that BR-signaling pathway is enriched with phosphorylation events. BR is a plant steroid hormone essential not only for plant growth and development but also for the immune response. Previous studies have shown that BR directly binds to receptor-like kinase BRI1 and its co-receptor BAK1; and consequently activates the downstream signal transduction components including BSK1, CDG1, BSU1, BIN2, BZR1 and BZR2. Those 8 key components are connected through a series of phosphorylation events, leading to the expression of genome-wide BR-responsive genes. Thus, we combined text mining and data mining data to construct a BR-signaling protein phosphorylation network. The combined data showed that the BR-signaling pathway was interconnected with multiple pathways such as the defense-, stress- and auxin-regulatory networks. Specifically, we hypothesized that BIN2 phosphorylated BSK5 on S329 was in response to salt stress; and the interplay of BRI1 with SERK family proteins was involved in the regulation of anther development, cell death and innate immunity.;This thesis work demonstrates that our integrative approach facilitates the integration of discrete and fragmented data and construction of networks enriched with phosphorylation information, thereby prompting hypothesis generation and knowledge discovery.
机译:由各种类型的蛋白激酶介导的磷酸化是调节信号转导的最深入研究的机制之一。广泛的研究产生了大量的磷酸化数据,这些数据分散并分布在科学文章和数据库中。但是,缺乏整合的PTM资源,尤其是在植物中,使得生物学家很难将那些零散的数据连接起来,以便对PTM进行系统的了解和全局分析。在这里,我们开发了一种整合的生物信息学方法,该方法结合了文本挖掘,数据挖掘,蛋白质本体,可视化和分析方法,从而促进了植物中的PTM信息集成和知识发现。对于拟南芥,我们确定了前15名文献最多的列表,通过RLIMS-P(一种用于提取磷酸化信息的文本挖掘工具)记录了激酶名称。产生的激酶列表包括PDK1和PID,这两种激酶分别参与广泛的细胞活性和生长素极性转运。文本挖掘结果表明,PDK1将PID磷酸化是激活PID激酶在植物生长素极性转运中的调节作用的第一步。此外,考虑到3个关键的油菜素类固醇(BR)信号传导成分BRI1,BAK1和BIN2位于激酶列表中,我们假设BR信号通路富含磷酸化事件。 BR是一种植物类固醇激素,不仅对植物的生长发育至关重要,而且对免疫反应也至关重要。先前的研究表明,BR直接与受体样激酶BRI1及其共受体BAK1结合。因此激活下游信号转导组件,包括BSK1,CDG1,BSU1,BIN2,BZR1和BZR2。这8个关键成分通过一系列磷酸化作用连接在一起,从而导致了全基因组BR反应基因的表达。因此,我们结合了文本挖掘和数据挖掘数据来构建BR信号蛋白磷酸化网络。合并的数据表明,BR信号通路与防御,压力和生长素调节网络等多种通路相互关联。具体而言,我们假设S329上的BIN2磷酸化BSK5是对盐胁迫的响应。并且BRI1与SERK家族蛋白的相互作用参与了花药发育,细胞死亡和先天免疫的调节。;本论文的工作表明,我们的整合方法有助于离散数据和零碎数据的整合以及富含磷酸化信息的网络的构建,从而促进了假设的产生和知识的发现。

著录项

  • 作者

    Lv, Mengxi.;

  • 作者单位

    University of Delaware.;

  • 授予单位 University of Delaware.;
  • 学科 Bioinformatics.;Genetics.
  • 学位 M.S.
  • 年度 2014
  • 页码 78 p.
  • 总页数 78
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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