Genomic Profiling Resource

许多研究人员对利用最先进的技术感兴趣，例如基于微阵列的 转录组学和基因组学分析以试图剖析分子概况。在过去的十年里，我们 已经见证了与产出直接相关的研究的重大进展， 基因组测序的奋进。这些成果为研究者提供了希望 像癌症这样的复杂疾病。引起这些疾病的基因改变可能导致一种或几种疾病。 具有异常基因组谱的基因或甚至数百至数千个具有扰动功能的基因。 这可能导致难以分类的基因组图谱的大杂烩，对基因组测序提出了挑战。 试图阐明癌症的原因和影响的研究人员。 为了帮助BCMCC研究人员解决这些问题，基因组分析资源将整合两个现有的 贝勒医学院（Baylor College of Medicine，简称BCL）的设施，提供最先进的转录或基因组 使用微阵列技术进行分析。资源利用斑点玻璃微阵列和商业 现有的AffysseGeneChip平台，并在实验设计，数据分析和 生物信息学，以及获得计算机硬件和软件。资源提供的服务 包括样品质量控制、微阵列表达谱、定量（真实的时间）PCR、获得 cDNA克隆储存库，斑点阵列上的比较基因组杂交，SNP基因分型， 基因芯片、数据分析、培训和研讨会。由丽莎白色和刘清博士领导， 核心将为癌症中心的研究人员提供一个具有成本效益的资源。

Many researchers are interested in utilizing state-of-the-art technologies such as microarray-based transcriptomic and genomic analyses to attempt to dissect molecular profiles. Within the past decade we have witnessed significant advancements in research that are directly associated with the output of the genome sequencing endeavor. The results of these achievements provide hope to investigators researching complex diseases like cancer. Alterations in genes causing these diseases may result in one or several genes having aberrant genomic profiles or even hundreds to thousands of genes with perturbed function. This can result in a mishmash of genomic profiles that is difficult to sort through, presenting a challenge to researchers attempting to elucidate the cause and effect of cancer. To assist BCMCC investigators with these issues, the Genomic Profiling Resource will integrate two existing Baylor College of Medicine (BCM) facilities to provide state-of-the-art access to transcriptional or genomic profiling using microarray technology. The Resource utilizes spotted glass microarrays and the commercially available Affymetrix GeneChip¿ platform and offers expert advice in experimental design, data analysis, and bioinformatics, as well as access to computing hardware and software. Services offered by the Resource include sample quality control, expression profiling with microarrays, quantitative (real time) PCR, access to a cDNA clone respository, comparative genomic hybridization on spotted arrays, SNP genotyping utilizing Affymetrix GeneChips, data analysis, training, and workshops. Led by Drs. Lisa White and Ching Lau, this Core will provide a cost-effective resource for Cancer Center researchers.