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中文摘要
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基因表达共享资源(GESRV)最初是作为JCCC的共享资源被提出的 2002年竞争续签申请。Gesr的建立是为了提供广泛的基因组规模的访问 JCCC研究人员的基因表达分析,他们正在使用各种生物,并希望 将微阵列技术应用到他们的研究计划中。它现在是一种久负盛名、用途广泛的 JCCC内的共享资源。目前,GESH拥有设备,并提供技术和 指导教师进行基因组分析的智力专业知识。共享资源具有 提供基于微阵列的基因表达、拷贝数、ChlP-Chip和 基因分型。Gesr为Affymetrix和安捷伦的实验配备了设备。此外, 共享资源在线维护所有数据以便于分析,并提供指向分析资源的链接。 在GESR和JCCC基本单位共享资源内都是如此。GESR湿式实验室设施是 毗邻主任的实验室。基于充值支持共享的成熟系统已经到位 资源活动。GESR向JCCC调查人员保证及时获得基因组技术和 提供联席董事和工作人员提供的智力专业知识。Gesr适应了新的 技术,包括下一代测序;硬件已经到位,GESR已经建立了 基于序列的基因表达分析所需的计算基础设施。在过去的几年里 在报告本赠款周期的一年期间,全球资源中心对38个联合专家委员会成员进行了近2000次分析; 在此期间,Gesr进行的研究中有82%是针对JCCC成员的。二十 基因表达共享资源的拟议业务预算的百分比从 JCCC CCSG应用程序。(另请参阅历史记录、说明、 基本特征)。 代表七个癌症中心计划地区的38名癌症中心成员利用 在本报告所述期间,基因表达共享资源。这是一个持续的共享 资源。
英文摘要
The Gene Expression Shared Resource (GESRV was first proposed as a JCCC Shared Resource for the 2002 competing renewal application. The GESR was established to provide broad access to genome-scale gene expression analysis to JCCC investigators who are using a variety of organisms and who wish to implement microarray technology into their research programs. It is now a well-established, broadly-used Shared Resource within the JCCC. Currently, the GESH houses equipment and provides technical and intellectual expertise to guide faculty in the performance of genomic analyses. The Shared Resource has provided access to microarray based genomic analysis for gene expression, copy number, ChlP-Chip and genotyping. The GESR houses equipment for Affymetrix and Agilent based experiments. In addition, the Shared Resource maintains all data online for ease of analysis and provides links to analytical resources, both within the GESR and within the JCCC BASE Unit Shared Resource. The GESR wet laboratory facility is adjacent to the laboratory of the Director. A mature system is in place for recharge-based support of Shared Resource activities. The GESR assures JCCC investigators of timely access to genomic technology and provides access to intellectual expertise provided by the co-directors and staff. The GESR adapts to new technologies, including next generation sequencing; hardware is in place and the GESR has established the required computational infrastructure for sequence-based gene expression analysis. During the last reporting year of the current grant cycle, the GESR performed nearly 2000 analyses for 38 JCCC members; 82 percent of the studies performed in the GESR during this period were for JCCC members. Twenty percent of the proposed operating budget for the Gene Expression Shared Resource is requested from the JCCC CCSG application. (Please also see Section 6.2.3 on Shared Resources in the History, Description, Essential Characteristics). 38 Cancer Center members representing seven Cancer Center Program Areas utilized the services of the Gene Expression Shared Resource during the reporting period. This is a continuing shared resource.
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