Gene Expression

基因表达资源(GER)是在成功招募了 莱斯利安·霍桑，2001年获博士学位。自那时以来，该资源蓬勃发展，拥有广泛的基础 令人满意的用户，他们的持续光顾源于独特的微阵列方法 实验。它的成功在很大程度上要归功于为研究人员提供高质量 微阵列数据具有数据分析的额外优势，以便将结果提供给个人 与大多数基于阵列的设施不同，研究人员处于可用的形式。霍桑医生和急诊室工作人员 与新兴技术并驾齐驱，为用户提供广泛的专业知识和选择。这一成功 庞大的用户基础、出版物和授予的赠款证实了这一点。资源按功能划分 基因组学水平上的基因表达、基因分型和拷贝数分析。在…的层面上 单个染色体区域或特定基因，它提供突变/多态分析、SNP验证 以及甲基化状态的发现、表达水平的量化和分析。最重要的是， 资源为其支持的所有平台提供数据分析，并提供专业知识、时间和资金 用于开发新技术。例如，已开发的Exon阵列分析 允许同时检测基因表达和选择性剪接事件。此外， 资源现在能够运行全基因组平铺阵列，这允许最高分辨率的芯片上芯片 基因组DNA中新转录物的分析和检测。在过去几年里， 资源公司一直致力于分析基因组数据的创新方法。这其中的一个 以提供最高密度基因分型的高密度SNP阵列为中心，以及同时 计算全息分析伴随杂合性缺失分析。基因表达一直在使用这些阵列来寻找 染色体区域的得失(CGH)。SNP映射阵列检测标准的能力 细胞遗传学异常是对传统核型分析的重大进步。GER已经 与考威尔博士的团队(GN)合作，开发了允许基因重叠的统计分析工具 用aCGH数据表达数据，从而增强了这两种技术的能力。六人组成员 CCSG计划在上一个项目期间利用了这一资源。该资源在 加强同行审查的资金、出版物和招聘工作。预计随着新的 招募加入CSBT计划(Gudkov博士)、MTET计划(Adjei博士)和Til(Lee博士)利用 资源将会扩大。所有六个计划都使用该资源，98%的用户是CCSG 会员。请求提供80 355美元的综合业务支助，占业务预算总额的11%。

The Gene Expression Resource (GER) was established with the successful recruitment of Lesleyann Hawthorn, PhD in 2001. The Resource has flourished since that time with a broad base of satisfied users whose continued patronage is derived from a unique approach to microarray experimentation. Its success is largely due to a commitment to provide researchers with high-quality microarray data with the added advantage of data analysis so that the results provided to the individual researchers are in a usable format, unlike most array-based facilities. Dr Hawthorn and the GER staff keep abreast of emerging technologies to provide users with a broad range of expertise and options. This success is substantiated by a large user base, publications and awarded grants. The Resource is functionally divided into Gene Expression, Genotyping, and Copy Number Analysis at the genomics level. At the level of individual chromosomal regions or specific genes, it offers mutation/polymorphism analysis, SNP validation and discovery, expression level quantification and analysis of methylation status. Most importantly, the Resource offers data analysis for all the platforms that it supports and provides expertise, time and funding for the development of novel technologies. For example, Exon array analysis has been developed which allows simultaneous detection of gene expression and alternative splicing events. Furthermore, the Resource is now able to run Whole-Genome Tiling arrays, which permit the highest-resolution Chip-on-Chip analysis as well as the detection of novel transcripts in genomic DNA. During the last few years, the Resource has been working on innovative approaches to the analysis of genomics data. One of these centers on the high-density SNP arrays that offer the highest density genotyping, as well as simultaneous CGH analysis with accompanying LOH analysis. Gene Expression has been using these arrays to look for gains and losses of chromosomal regions (CGH). The ability of the SNP Mapping arrays to detect standard cytogenetic abnormalities represents a major advancement over conventional karyotyping. The GER has collaborated with Dr Cowell's group (GN) to develop statistical analysis tools that permit the overlay of gene expression data with aCGH data, thus enhancing the power of both these technologies. Members of the six CCSG programs utilized this Resource over the last project period. The Resource was instrumental in enhanced peer-reviewed funding, publications and recruitment efforts. It is anticipated that with the new recruitment into the CSBT Program (Dr Gudkov), MTET Program (Dr Adjei), and Til (Dr Lee) the utilization of the Resource will expand. The Resource is used by all six Programs and 98% of users are CCSG members. $80,355 in CCSG support is requested, representing 11% of the total operating budget.