Biotechnology Center for Comparative Genomics

NIDDK生物技术中心的申请代表了华盛顿大学几个强大研究团体的自然融合。这项提案汇集了一个已经建立的I基因微阵列设施的指导下，博士罗杰Bumgarner，与研究人员在前沿的研究领域的启动糖尿病及其并发症，控制免疫反应，调节细胞增殖，细胞肥大，细胞迁移在肾损伤，肝细胞再生损伤后，肠道发育和造血干细胞生物学。该中心的首要目标是开发一种工作基因芯片，其中包含小鼠基因组中所有已知序列验证的基因，可供上述领域的研究人员使用。我们预计这种方法将特别有利于研究人员利用海洋系统携带转基因，基因缺失，或在纯化的细胞群或特定的器官系统的可控基因突变，以研究疾病的机制。我们同时寻求开发严格的数据生成和分析方法，这将增加基因阵列方法应用于我们的疾病模型所获得的信息的数量并建立其有效性。这将通过以下四个具体目标来实现：1）通过获得小鼠cDNA克隆和额外的人cDNA克隆的Unigene集合来扩大可用于构建阵列的克隆的收集; 2）增加阵列设施的通量和数据存储容量; 3）实施并整合我们的数据分析与表达数据库; 4）测试和实施RNA和信号放大的方案。

This application for an NIDDK Biotechnology Center represents a natural confluence of several strong research communities at the University of Washington. This proposal brings together an already established I gene microarray facility under the direction of Dr. Roger Bumgarner, with investigators at the cutting edge of research in the areas of initiation of diabetes and its complications, control of the immune response, regulation of cell proliferation, cell hypertrophy, and cell migration in renal injury, hepatocyte regeneration after injury, intestinal development, and hematopoietic stem cell biology. An overriding aim of this center is to develop a working gene chip containing all of the known sequence verified genes of the mouse genome, which can be utilized by investigators in the above areas. We anticipate this approach will particularly benefit investigators utilizing marine systems bearing transgenes, genetic deletions, or controllable genetic mutations in purified cell populations or specific organ systems to study mechanisms of disease. We concurrently seek to develop stringent approaches to data generation and analysis that will increase the amount and establish the validity of the information that will be obtained as the result of application of gene array approaches to our disease models. This will be accomplished through the following four specific aims: 1 ) Expand the collection of clones available for construction of arrays by acquiring Unigene sets of mouse cDNA clones and additional human cDNA clones; 2) Increase the throughput and data storage capacity of the array facility; 3) Implement and integrate our data analysis with an expression database; 4) Test and implement protocols for RNA and signal amplification.