DNA MICROARRAY SHARED RESOURCES

DNA微阵列共享资源的总体目标是为进行基因组规模表达谱实验的研究人员提供全面的服务，并为高密度表达数据集的分析提供信息学支持。共享资源提供的服务分为三个部分：1）试剂和用品; 2）实验支持; 3）数据分析和支持。试剂和供应包括产生高密度小鼠、人和酵母cDNA微阵列（包含6，600至28，000个元件），为几个阵列平台储存阵列和试剂，维护和分配NIA克隆集，以及生产和储存基因表达谱实验专用试剂。实验支持包括实验设计咨询和评估、RNA加工和质量控制、荧光标记靶点生产以及使用各种微阵列的高密度阵列杂交。数据和分析支持包括杂交阵列的扫描和图像分析，原始数据集的处理，对所得表达数据集的分析和注释的全面生物信息学支持，数据格式化并在适当时转移到其他共享资源，开发基于网络的补充材料以支持赠款和出版物，以及共享资源中产生的所有数据集的备份和存档。Shawn Levy博士是DNA微阵列共享资源的科学总监，为研究人员提供实验设计咨询，审查和批准定制或精品阵列的请求，并参与新服务的开发和优化。Levy博士协助研究人员使用高阶分析工具，如聚类，多维缩放和统计显著性评估，并提供所有共享资源服务的培训。

The overall objectives of the DNA Microarray Shared Resource are to provide comprehensive services to investigators performing genome-scale expression profiling experiments and to provide informatics support in the analysis of high-density gone expression data sets. Services offered in the Shared Resource are divided into three segments: 1) Reagents and Supplies; 2) Experimental Support; and 3) Data Analysis and Support. Reagents and Supplies include the generation of high-density mouse, human, and yeast cDNA microarrays containing from 6,600 to 28,000 elements, stocking of arrays and reagents for several array platforms, maintenance and distribution for NIA clone sets, and production and stocking of specialty reagents for gene expression profiling experiments. Experimental Support includes experimental design consultation and evaluation, RNA processing and quality control, fluorescently labeled target production, and high-density array hybridization using varied microarrays. Data and Analysis Support includes scanning and image analysis of the hybridized arrays, processing of the raw data sets, comprehensive bioinformatics support for the analysis and annotation of the resulting expression data sets, data formatting and transfer to other Shared Resources when appropriate, development of web-based supplements in support of grants and publications, and the back-up and archiving of all data sets produced in the Shared Resource. Dr. Shawn Levy is Scientific Director of the DNA Microarray Shared Resource and offers experimental design consultation to investigators, reviews and approves requests for custom or boutique arrays, and is involved in the development and optimization of new services. Dr. Levy assists investigators in the use of higher-order analysis tools such as clustering, multi-dimensional scaling and evaluation of statistical significance, and also offers training on all Shared Resource services.