GENE EXPRESSION IN AGING BY HIGH DENSITY ARRAY ANALYSIS

通过高密度阵列分析衰老过程中的基因表达

• 批准号: 6168873
• 负责人: Glenna C Burmer
• 金额: $ 40.49万
• 依托单位: LIFESPAN BIOSCIENCES, INC.
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-03-01 至 2005-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6168873
• 关键词: aging; computer assisted sequence analysis; cytogenetics; fibroblasts; gene expression; genetic markers; human genetic material tag; human tissue; informatics; messenger RNA; molecular biology information system; neurons; nucleic acid hybridization; nucleic acid probes; nucleic acid sequence; technology /technique development

DNA array hybridization technology will be used to create a database of quantitative gene expression changes in aging cells and tissues. During the Phase I study, methods for high throughput gene expression analysis using Nylon based DNA arrays will be developed and validated, the feasibility of constructing probes from laser capture microdissected tissues will be established, and the feasibility of using this data to detect differences in age-related gene expression will be demonstrated. LifeSpan will then market access to this database to the academic and pharmaceutical communities as a resource for information on gene expression and aging. The discovery of genes that are differentially expressed in aging will ultimately provide information that will be used in the design of agents for therapeutic intervention in age-related degeneration and disease. PROPOSED COMMERCIAL APPLICATIONS: The resulting database of gene expression will be marketed directly to the academic and industrial scientific community as a commercial database product. In addition, the identification of disease-associated aging genes will result in opportunities for the development of diagnostics and therapeutics to treat aging related diseases.

DNA阵列杂交技术将用于创建衰老细胞和组织中基因表达定量变化的数据库。在第一阶段研究期间，将开发和验证使用基于尼龙的 DNA 阵列进行高通量基因表达分析的方法，建立从激光捕获显微解剖组织构建探针的可行性，并证明使用这些数据检测与年龄相关的基因表达差异的可行性。然后，LifeSpan 将向学术界和制药界推销该数据库，作为基因表达和衰老信息的资源。衰老过程中差异表达的基因的发现最终将提供信息，用于设计用于治疗干预与年龄相关的退化和疾病的药物。拟议的商业应用：由此产生的基因表达数据库将作为商业数据库产品直接销售给学术界和工业科学界。此外，与疾病相关的衰老基因的鉴定将为开发治疗衰老相关疾病的诊断和治疗方法带来机会。