MODELING OF SPHINGOLIPIDOMICS AND GENOMIC DATA TO STUDY ORAL CANCER

通过鞘脂组学和基因组数据建模来研究口腔癌

• 批准号: 7720801
• 负责人: WENJIN Jim ZHENG
• 金额: $ 1.59万
• 依托单位: MEDICAL UNIVERSITY OF SOUTH CAROLINA
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-06-01 至 2009-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7720801
• 关键词: Biological; Biological Process; Clinical; Complex; Computer Retrieval of Information on Scientific Projects Database; Computer Simulation; Computer software; Data; Diagnosis; Facility Construction Funding Category; Funding; Gene Expression; Genome; Genomics; Grant; Information Systems; Institution; Knowledge; Malignant Neoplasms; Measures; Metabolic Pathway; Methodology; Methods; Modeling; Molecular; Oral; Pathogenesis; Pathway interactions; Play; Processed Genes; Proteins; Range; Rate; Research; Research Personnel; Resources; Role; Software Engineering; Source; South Carolina; Sphingolipids; Standards of Weights and Measures; Study models; System; Technology; Testing; Text; Therapeutic; United States; United States National Institutes of Health; Work; base; cancer therapy; insight; malignant mouth neoplasm; mortality; novel diagnostics; novel therapeutics; role model

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Oral cancer is one of the ten most common cancers in the world. More than 30,000 cases are diagnosed each year in the United States, and South Carolina has the second highest mortality rate in the nation. Comprehensive study of the cancer pathogenesis can greatly help us to understand how oral cancer is developed and to develop novel therapeutics for oral cancer treatment. Recent studies have shown that sphingolipids may play an important role in oral cancer pathogenesis. However, testing this hypothesis requires comprehensive analysis of sphingolipidomics, genomic information and the clinical parameters of oral cancer, and new methodologies are required to integrate such complex data at the system level. We propose that object-oriented (OO) technology can be used to integrate biological information about the roles of the sphingolipid metabolic pathway in oral cancer pathogenesis. OO technology is considered the current standard for software construction, and is an excellent choice to model complex information. Our recent work has demonstrated that applying a well-defined software engineering methodology to OO technology can effectively integrate and represent biological information. We will construct a comprehensive OO model for the role of sphingolipids in oral cancer pathogenesis. Such a coherent computational model will integrate cellular components, molecular functions, biological processes, gene products, sphingolipidomic information, and clinical parameters, transforming traditional text-based descriptive biological system information into an easily updatable model. We propose to: 1) Build an OO model for studying the role of sphingolipids in oral cancer pathogenesis. 2) Expand the sphingolipid pathway model to incorporate genomic information. 3) Develop methods to analyze the constructed model and infer new knowledge about oral cancer pathogenesis. By integrating information ranging from clinical parameters to molecular mechanisms about sphingolipidomics, we will construct a comprehensive OO model about sphingolipids and their roles in oral can pathogenesis. Such integration allows us to dissect complex relationships between clinical observation, sphingolipidomics, gene expression and genome information, to gain new insight into the mechanism of oral cancer pathogenesis, and to develop new diagnostics and therapeutic measures for oral cancer.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 口腔癌是世界上十种最常见的癌症之一。 在美国，每年诊断出30,000多例病例，南卡罗来纳州的死亡率在美国第二高。 对癌症发病机理的全面研究可以极大地帮助我们了解口腔癌的发展以及开发新的口腔癌治疗治疗方法。 最近的研究表明，鞘脂在口腔癌发病机理中可能起重要作用。 但是，检验该假设需要对鞘脂型，基因组信息和口腔癌的临床参数进行全面分析，并且需要新的方法来在系统级别整合此类复杂数据。 我们建议以对象为导向（OO）技术来整合有关鞘脂代谢途径在口腔癌发病机理中的作用的生物学信息。 OO技术被认为是当前软件构建的标准，并且是建模复杂信息的绝佳选择。 我们最近的工作表明，将定义明确的软件工程方法应用于OO技术可以有效地整合并代表生物学信息。 我们将构建一个综合的OO模型，用于鞘脂在口腔癌发病机理中的作用。 这种连贯的计算模型将将细胞组件，分子函数，生物过程，基因产物，鞘脂型信息和临床参数整合在一起，从而将基于文本的传统描述性生物系统信息转换为易于更新的模型。 我们建议：1）建立一个OO模型，用于研究鞘脂在口腔癌发病机理中的作用。 2）扩展鞘脂途径模型以合并基因组信息。 3）开发方法来分析构建模型并推断有关口腔癌发病机理的新知识。 通过整合从临床参数到有关鞘脂组学的分子机制的信息，我们将构建有关鞘脂及其在口服CAN发病机理中的作用的全面OO模型。 这种整合使我们能够剖析临床观察，鞘脂型，基因表达和基因组信息之间的复杂关系，从而获得对口腔癌发病机理机制的新见解，并开发出口腔癌的新诊断和治疗方法。