BIOINFORMATICS

生物信息学

• 批准号: 8020106
• 负责人: Gerard Manning
• 金额: $ 22.96万
• 依托单位: SCRIPPS RESEARCH INSTITUTE, THE
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8020106
• 关键词: Aging; Alzheimer' s Disease; Alzheimer' s disease model; Architecture; Biochemical Genetics; Biochemical Pathway; Biochemistry; Bioinformatics; Biological; Biological Models; Cell Culture Techniques; Cells; Communities; Complex; Data; Data Set; Databases; Diagnosis; Disease; Drug Metabolic Detoxication; Experimental Designs; Gene Expression; Generations; Genes; Genetic; Human; Image; Individual; Insulin; Intervention; Intranet; Investigation; Knowledge; Link; Literature; Logic; Messenger RNA; Metabolic; Microarray Analysis; Mining; Modeling; Molds; Molecular; Molecular Profiling; Mus; Nodal; Organism; Parkinson Disease; Pathway interactions; Process; Proteins; Proteomics; Publications; Publishing; Research Personnel; System; Systems Biology; Techniques; Therapeutic; Tissues; Transcript; Translating; Ursidae Family; Validation; Vertebrates; age related; base; comparative genomics; data mining; dietary restriction; effective therapy; experience; experimental analysis; genetic analysis; knowledge base; mouse model; predictive modeling; programs; promoter; protein aggregate; protein expression; protein function; protein protein interaction; public health relevance; response; tool; trafficking; transcription factor

The Bioinformatics Core (Core B) will provide computational support to all projects and cores to transform their data into predictive models and integrate their diverse experimental approaches to understanding age- related protein detoxification. In particular, it will integrate mRNA and protein expression profiling in C. elegans, mouse and cell culture models with comparative genomics of promoter sequences to build a transcriptional model of this process in these diverse phyla, and provide candidate effector proteins for biochemical and genetic analysis. This will integrate and extend these transcriptional and protein networks to vertebrate and other model systems, using comparative genomics, database mining and experimental analysis performed by our colleagues. We will correlate our data with extensive and growing public databases and literature knowledge on protein function, pathways and interactions, to bridge large gene lists to discrete functions and logic. Finally, we will provide a range of computational supports for each individual project (programming, database generation and data mining), and in integrating their results into a robust, and conserved models of the protein detoxification machinery that can be shared throughout the project and ultimately with the broader community. Public Health Relevance This project will uncover themechanisms bywhich diverse organisms - andultimately humans - detoxify protein aggregates formed during aging, leading to better diagnosis and potentially effective treatments for a range of aging related diseases such as Alzheimer's and Parkinson's disease. This bioinformatics core will assist in many ways, in particular to build a detailed model for this process, and to translate these mechanisms from worms to mouse to human, assisting both our overall understanding of the process, and the potential for therapeutic application. With a particular focus on enhancing the value of large data sets, this core will also provide the community with a valuable knowledge base to assist other investigations in this field.

生物信息学核心(核心B)将为所有项目和核心转型提供计算支持 他们的数据纳入预测模型，并整合了他们理解年龄的不同实验方法- 相关蛋白解毒作用。特别是，它将整合C。 秀丽动物、小鼠和细胞培养模型与启动子序列的比较基因组学构建 在这些不同的门类中，这一过程的转录模型，并为 生化和遗传分析。这将整合和扩展这些转录和蛋白质网络，以 脊椎动物和其他模型系统，利用比较基因组学、数据库挖掘和实验 由我们的同事进行的分析。我们将把我们的数据与广泛且不断增长的公众联系起来 蛋白质功能、途径和相互作用的数据库和文献知识，以连接大的基因列表 以离散功能和逻辑。 最后，我们将为每个单独的项目(编程、数据库)提供一系列计算支持 生成和数据挖掘)，并将它们的结果集成到一个健壮的、保守的 可以在整个项目中共享的蛋白质解毒机制，最终与更广泛的 社区。 公共卫生相关性 这个项目将揭示不同的生物--最终是人类--解毒的机制 在衰老过程中形成的蛋白质聚集体，导致更好的诊断和潜在有效的治疗 一系列与衰老相关的疾病，如阿尔茨海默氏症和帕金森氏症。这个生物信息学核心将 在许多方面提供协助，特别是为这一过程建立一个详细的模型，并将这些 从蠕虫到老鼠再到人类的机制，有助于我们对这一过程的全面理解，以及 治疗应用的潜力。特别注重提高大型数据集的价值， 这一核心还将为社会提供宝贵的知识基础，以协助其他调查 菲尔德。