DNA & PROTEIN MICRO-ARRAY FACILITY (SHARED RESOURCE)

脱氧核糖核酸

基本信息

批准号：
7944548
负责人：
SUZANNE SANDMEYER
金额：
$ 5.31万
依托单位：
UNIVERSITY OF CALIFORNIA-IRVINE
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-04-06 至 2012-01-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7944548
关键词：
Address Algorithms Aliquot Allegra Alleles Biological Biology Books Cancer Center Support Grant Cancerous Cells Church Client Cluster Analysis 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 Facility Designs Faculty Filtration Gene Expression Gene Expression Profiling Genes Genetic Genetic Transcription Genome Genomics Genotype Glass Goals Head Histocompatibility Testing Imagery Individual Instruction Label Laboratories Lead Liquid substance Literature Loss of Heterozygosity Manuals Maps Measurement Methods Metric Microarray Analysis Mission Modeling 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 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 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于1999年建立为全面的癌症中心共享资源核心设施，致力于协助南部和南校园调查员进行微阵列表达分析。南部校园内外约有200名调查员在过去五年中已提供服务。我们主要利用Affymetrix Genechip阵列监测基因表达并执行SNP/基因型映射的系统。我们的任务是提供RNA 表达和基因组DMA分析以一致，及时的方式，所有人的质量最高我们设施的用户。除了提供实验专业知识以执行基因表达和 SNP/基因型映射协议，员工提供有关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数据。当前，该技术的主要用途是确定基因的差异表达模式，即在细胞或组织中。该技术使研究人员可以比较患病和正常细胞，癌细胞和非癌细胞以及不同的组织类型。目标这些类型的研究是更好地了解可能导致病态的过程和找到控制或停止患病状态进展的新方法或更好的方法。迅速该技术的越来越多的使用是对基因型变体（SNP）的分析来绘制引起疾病的基因。这些类型的方法将提供对多因素疾病状态的见解。全基因组的信息与单独的基因信息不同，可以用来了解由多个基因或环境和遗传因素的汇合。由于全基因组阵列提供了大量详细信息，因此很可能微阵列不仅在理解疾病过程中，而且还将成为一个更重要的工具在疾病诊断和个性化疗法的设计中。