Individual Predoctoral Dental Scientist Fellowship

个人博士前牙科科学家奖学金

• 批准号: 7616719
• 负责人: Jeremy Alan Horst
• 金额: $ 3.49万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-05-01 至 2011-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7616719
• 关键词: Adult; African American; Algorithms; American; Arts; Binding; Biological Assay; Biology; Bone Growth; Bone Regeneration; Cells; Child; Chromosome Mapping; Chromosomes; Clinical Treatment; Co-Immunoprecipitations; Computer software; Computing Methodologies; Craniofacial Abnormalities; Databases; Dental; Dental Implants; Development; Disease; Doctor of Philosophy; Extracellular Matrix; Feedback; Feeds; Fellowship; Funding; Gene Expression Regulation; Gene Targeting; Genes; Genome; Goals; Growth; Hereditary Disease; Human; Hybrid Cells; Hybrids; Individual; Methods; Molecular; Molecular Biology Techniques; National Institute of Dental and Craniofacial Research; Natural regeneration; Oral health; Osteogenesis; Pathway interactions; Periodontal Diseases; Periodontal Pocket; Periodontitis; Phase; Phylogenetic Analysis; Preparation; Probability; Production; Proteins; Regulation; Reporting; Request for Applications; Research; Research Personnel; Reverse Transcriptase Polymerase Chain Reaction; Scientist; Signal Transduction; Site; Surgeon; Techniques; Technology; Testing; Tissues; To specify; Trauma; Type I Procollagen; Yeasts; aged; alveolar bone; base; bone; design; early onset; genome sequencing; human tissue; osteoclastogenesis; pre-doctoral; research study; restoration; therapy development; tissue regeneration; tool; yeast two hybrid system

DESCRIPTION (provided by applicant): The overarching goal of the thesis project is to develop technologies to infer pathways implicated in periodontal diseases and tissue regeneration. Specifically, we will use methods to computationally annotate and predict protein interactions to investigate sub-networks within the human interactome that comprise these pathways. The thesis research will have two phases: (1) Development of a periodontal protein interaction database (PPID) and automated interaction predictions. The PPID will include known protein interactions, automated prediction of interactions using state of the art computational methods, and integration into visualized interaction networks. Automating interaction predictions will require integration of the phylogenetic profile, domain fusion, interolog, and gene neighbor techniques. Access to the database and prediction tools will be developed within the lab servers. (2) Experimental verification of predicted interactions. To evaluate prediction methods, proteins with high probability of interaction will be tested for functional interactions. Experiments will focus on protein pairs predicted to exist in a pathway with the NH2-propeptide of procollagen type I (N-propeptide). N-propeptide provides feedback for extracellular matrix production [1], an important aspect of bone formation. Verification of physical interactions will include co-immunoprecipitation, yeast two hybrid, and cell-based binding studies. Co-expression testing will include quantitative RT-PCR, SAGE, and/or gene array methods.

描述（由申请人提供）：论文项目的总体目标是开发技术来推断涉及牙周疾病和组织再生的途径。具体而言，我们将使用方法来计算注释并预测蛋白质相互作用，以研究构成这些途径的人类相互作用组中的子网络。论文研究将有两个阶段：（1）开发牙周蛋白相互作用数据库（PPID）和自动相互作用预测。 PPID将包括已知的蛋白质相互作用，使用最先进的计算方法对相互作用的自动预测，以及整合到可视化的相互作用网络中。自动相互作用预测将需要整合系统发育谱，结构域融合，中学和基因邻居技术。对数据库和预测工具的访问将在实验室服务器中开发。 （2）预测相互作用的实验验证。为了评估预测方法，将测试具有相互作用概率的蛋白质的功能相互作用。实验将集中在预测存在于procollagen型I型（N-肽）的NH2-肽中存在的蛋白质对。 N-肽提供了细胞外基质产生的反馈[1]，这是骨形成的重要方面。物理相互作用的验证将包括共免疫沉淀，酵母二杂种和基于细胞的结合研究。共表达测试将包括定量RT-PCR，SAGE和/或基因阵列方法。