BIOINFORMATICS

生物信息学

• 批准号: 7568468
• 负责人: Gerard Manning
• 金额: $ 24.77万
• 依托单位: SCRIPPS RESEARCH INSTITUTE, THE
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-02-01 至 2011-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7568468
• 关键词: Aging; Alzheimer' s Disease; Alzheimer' s disease model; Amyloid beta-Protein; 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; Genomics; Human; Image; Individual; Insulin; Intervention; Intranet; Investigation; Knowledge; Link; Literature; Logic; Messenger RNA; Metabolic; Microarray Analysis; Mining; Modeling; Molds; Molecular; Molecular Profiling; Mus; Nerve Degeneration; 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; 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提供计算支持