Shared Resource: Genomic and RNA Profiling

共享资源：基因组和 RNA 分析

• 批准号: 9759798
• 负责人: Lisa D White
• 金额: $ 20.75万
• 依托单位: BAYLOR COLLEGE OF MEDICINE
• 依托单位国家: 美国
• 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/9759798
• 关键词: Basic Science; Biological Assay; Cancer Center; Cells; Clinic; Complex; Core Facility; DNA Sequence Alteration; Data Analyses; Data Quality; Detection; Development; Disease; Drug Design; Emerging Technologies; Ensure; Epigenetic Process; Equipment; Experimental Designs; Gene Expression Regulation; Genes; Genetic Transcription; Genomics; Genomics Shared Resource; Individual; International; Investments; Knowledge; Malignant Neoplasms; Medicine; Methodology; Mind; Molecular Target; Pathway interactions; Quantitative Reverse Transcriptase PCR; Research; Research Personnel; Resource Sharing; Resources; Services; Signal Pathway; Solid; Standardization; Surveys; System; Techniques; Technology; Testing; Time; Tissues; Translational Research; Work; anticancer research; base; bioinformatics resource; college; cost; deep sequencing; digital; experience; flexibility; gene product; genetic signature; genome wide screen; genome-wide; genomic RNA; genomic profiles; meetings; nano-string; new technology; next generation sequencing; novel therapeutics; peer learning; programs; statistics; tool; transcriptome; transcriptomics; tumor progression; whole genome

CORE: Genomic and RNA Profiling Shared Resource (Omics Group) PROJECT SUMMARY The Genomic and RNA Profiling Shared Resource (GARP SR) of the DLDCC works to meet the academic needs of cancer center investigators and remain flexible to aid in developing new applications. This is a dynamic facility that has kept pace with emerging technologies and the changing needs of the cancer center. DLDCC investigators have been able to make significant advancements in cancer research by utilizing state- of-the-art technologies including microarray- and deep sequencing-based genomic and transcriptomic analysis tools. This research has involved studies of aberrant expression, genome wide-perturbations of expression, or post transcriptional gene regulation. These tools range from whole genome wide assays to individual gene assays and whole tissue to single cell. An example is the implementation of medium throughput multiplexing technologies such as the NanoString nCounter digital quantitation system that can assay up to 800 multiplexed molecular targets in a very short, standardized time. This platform helps cancer center investigators who are moving away from genome-wide screening or who identify a gene signature from Illumina sequencing and are now focusing on the signature sets of genes or pathways that may predict cancer progression. These signatures could then be used to develop and test novel drugs designed to interfere with specific gene products or signaling pathways. GARP SR strives to find the right tools to help cancer center investigators to understand cancer as a complex disease. We have aided many researchers in a transition from basic research into translational research in an effort to bring their discoveries to the clinic by providing access to new technologies. There are a large number of DLDCC researchers who require the methodologies offered in this resource to carry out their studies. Costs for genomic profiling experimentation can be prohibitive to the individual investigator without access to a shared resource. Data analysis requires experience in statistics and bioinformatics and this resource brings together groups of individuals who provide a solid base for DLDCC researchers that will enable them to successfully utilize genomic technology—something that would not be possible without this shared resource.

核心：基因组和 RNA 分析共享资源（组学组） 项目概要 DLDCC 的基因组和 RNA 分析共享资源 (GARP SR) 致力于满足学术需求 癌症中心研究人员的需求并保持灵活性以帮助开发新的应用程序。 充满活力的设施与新兴技术和癌症中心不断变化的需求保持同步。 DLDCC 研究人员通过利用国家- 最先进的技术，包括基于微阵列和深度测序的基因组和转录组分析 这项研究涉及异常表达、全基因组表达扰动或 这些工具的范围从全基因组范围的检测到单个基因。 一个例子是中等通量多重分析的实施。 NanoString nCounter 等技术可检测多达 800 个多重数据 该平台可以帮助癌症中心的研究人员在非常短的标准化时间内完成分子目标。 放弃全基因组筛查或从 Illumina 测序中识别基因特征并 现在重点关注可以预测癌症进展的基因或途径的特征集。 然后可以使用签名来开发和测试旨在干扰特定基因的新药物 GARP SR 致力于寻找合适的工具来帮助癌症中心研究人员 癌症作为一种复杂的疾病，我们已经帮助许多研究人员从基础疾病转变为癌症。 研究转化研究，努力通过提供以下途径将他们的发现带入临床 有大量 DLDCC 研究人员需要 中提供的方法。 进行他们的研究的资源可能会令人望而却步。 无法访问共享资源的个人调查员需要统计和数据方面的经验。 生物信息学和此资源汇集了为 DLDCC 提供坚实基础的个人群体 研究人员将使他们能够成功地利用基因组技术——这是不可能的 没有这个共享资源也是可能的。