DNA & PROTEIN MICRO-ARRAY FACILITY (SHARED RESOURCE)

脱氧核糖核酸

基本信息

批准号：
8215290
负责人：
SUZANNE SANDMEYER
金额：
$ 5.13万
依托单位：
UNIVERSITY OF CALIFORNIA-IRVINE
依托单位国家：
美国
项目类别：
财政年份：
资助国家：
美国
起止时间：
至
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/8215290
关键词：
Address Algorithms Aliquot Allegra Alleles Aventyl Biological Biology Books Cancer Center Support Grant Cells Church Client Cluster Analysis Complementary DNA Comprehensive Cancer Center Computer Workstations Computer software Computers Consultations Copy Number Polymorphism Core Facility Custom DNA Data Data Analyses Data Files Development Disease Elements Ensure Equipment Experimental Designs Faculty Filtration Gene Expression Gene Expression Profiling Genes Genetic Genetic Transcription Genome Genomics Genotype Glass Goals Head Histocompatibility Testing Imagery Individual Information Sciences Instruction Label Laboratories Lead Liquid substance Literature Loss of Heterozygosity Manuals Maps Measurement Methods Metric Microarray Analysis Mission Normal Cell Numerical value Occupations Oligonucleotides Online Systems Output Pathway interactions Pattern Phase Preparation Printing Procedures Process Protein Microchips Proteins Protocols documentation Publications Quality Control RNA RNA purification Reaction Research Research Design Research Methodology Research Personnel Resource Sharing Robot Robotics Running SNP genotyping Sampling Scanning Screening procedure Services Single Nucleotide Polymorphism Map Slide Speed Spottings Staging System Techniques Technology Testing Text Time Tissues University of California Irvine Cancer Center Vacuum Variant Work Writing analog base cancer cell computer science data modeling design diagnosis design digital disease diagnosis genome-wide insight interest meetings plasmid DNA programs research study sample collection sound statistics success tool

项目摘要

The UCI DMA & Protein MicroArray Facility was initially established in 1999 as a Comprehensive Cancer Center Shared Resource Core Facility, directed at assisting both North and South Campus investigators performing microarray expression analysis. About 200 investigators inside and outside the South Campus have been provided services in the last five year period. We primarily utilize the Affymetrix GeneChip array system to monitor gene expression and perform SNP/genotype mapping. Our mission is to provide RNA expression and genomic DMA analysis in a consistent and timely manner that is of the highest quality for all of our Facility's users. In addition to providing experimental expertise for performing gene expression and SNP/genotype mapping protocols, the staff provides advice and consultation on experimental design, and data analysis approaches and statistics for microarray based research. Currently, the primary use of this technology is to determine the differential expression patterns of genes, either within cells or tissues. This technology enables investigators to compare patterns of expression in diseased and normal cells, cancer cells and non-cancerous cells and in different tissue types. The goal of these types of studies is to better understand the processes that potentially lead to diseased states and to find new or better ways of either controlling or stopping the progression of diseased states. A rapidly increasing use of this technology is analysis of genotypic variants (SNPs) to map disease-causing genes. These types of approaches will provide insight into multifactorial disease states. Genomewide information unlike individual gene information can be used to understand the more subtle patterns of diseases caused by multiple genes or by the confluence of environmental and genetic factors. Because of the great amount of detailed information provided from genomewide arrays, it is likely that microarrays will become an even more important tool not only in understanding disease processes, but also in disease diagnosis and the design of individualized therapies.

UCI DMA 和蛋白质微阵列设施最初成立于 1999 年，是一家综合癌症中心中心共享资源核心设施，旨在协助北校区和南校区调查人员进行微阵列表达分析。南校区内外约200名调查员在过去五年内提供过服务。我们主要利用 Affymetrix GeneChip 阵列系统监测基因表达并进行 SNP/基因型作图。我们的使命是提供RNA 以一致且及时的方式进行表达和基因组 DMA 分析，为所有人提供最高质量的分析我们设施的用户。除了提供进行基因表达的实验专业知识和 SNP/基因型作图方案，工作人员提供实验设计的建议和咨询，以及基于微阵列的研究的数据分析方法和统计。目前，该技术的主要用途是确定基因的差异表达模式，无论是在细胞内还是在组织内。该技术使研究人员能够比较表达模式患病细胞和正常细胞、癌细胞和非癌细胞以及不同组织类型。目标是此类研究是为了更好地了解可能导致疾病状态的过程并寻找新的或更好的方法来控制或阻止疾病的进展。一个迅速该技术越来越多地用于分析基因型变异（SNP）以绘制致病基因图谱。这些类型的方法将提供对多因素疾病状态的深入了解。全基因组信息与个体基因信息不同的是，信息可以用来了解由个体引起的疾病的更微妙的模式。多种基因或环境和遗传因素的共同作用。由于全基因组阵列提供了大量详细信息，因此很可能微阵列将成为一种更重要的工具，不仅可以理解疾病过程，还可以疾病诊断和个体化疗法的设计。