GENOMICS PROFILING

基因组分析

基本信息

批准号：
8180982
负责人：
Lisa D White
金额：
$ 16.58万
依托单位：
BAYLOR COLLEGE OF MEDICINE
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-09-17 至 2015-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8180982
关键词：
Achievement Agar Gel Electrophoresis Alternative Splicing Arts Base Sequence Biochemistry Biological Assay Biometry Biostatistics Shared Resource Cancer Center Cancer Center Support Grant Cancerous Cells Chromosome abnormality Chromosomes Color Complementary DNA Complex Computer software Consultations Custom Cytogenetics Cytogenetics Shared Resource DNA DNA Fingerprinting DNA Sequence Rearrangement DNA-Protein Interaction Data Data Analyses Data Set Detection Development Disease Ensure Epigenetic Process Equipment Experimental Designs Formalin Foundations Funding Future Gene Expression Gene Expression Profile Gene Expression Profiling Genes Genome Genomics Genomics Shared Resource Glass Goals Grant Human Human Genetics Human Genome Human Resources Individual Informatics Investments Karyotype Label Laboratories Ligation Loss of Heterozygosity Malignant Neoplasms Mediating Medical Research Medicine Mental Retardation and Developmental Disabilities Research Centers Messenger RNA Methylation MicroRNAs Microarray Analysis Modification Molecular Molecular Biology Molecular Profiling Mus Notification Nucleic Acids Oligonucleotide Microarrays Oligonucleotides Online Systems Output Paper Paraffin Embedding Pathway interactions Pediatric Hospitals PicoGreen Positioning Attribute Price Process Protein Analysis Protocols documentation Publications Quality Control RNA Rattus Research Research Personnel Resolution Resource Sharing Resources Running S cerevisiae SWI3 protein SNP genotyping Sampling Savings Services Site Small RNA Solid Solutions Sorting - Cell Movement Spottings System Technology Testing Texas Time Transcript Uniparental Disomy Validation Work Writing base cancer gene expression chromatin modification college comparative genomic hybridization cost data management design electronic data falls genome sequencing informatics shared resource instrument interest mRNA Expression meetings member new technology next generation promoter quality assurance repository research study technology development tool transcriptomics

项目摘要

The Genomic Profiling Shared Resource (GPSR) of the Dan L. Duncan Cancer Center (DLDCC) at Baylor College of Medicine (BCM) utilizes the expertise available at both BCM and Texas Children's Hospital (TCH) to offer a comprehensive suite of services using cutting edge genomic and transcriptomic technologies to DLDCC members. The GPSR core combines cutting edge technologies to provide state-of-the-art quality microarray-based and next generation sequencing-based services and analyses for both transcriptional and genomic profiling. This resource provides assistance to DLDCC researchers in utilizing microarray technology, next generation sequencing technology, good experimental design, and data management and data analysis resources. We will begin offering next generation sequencing technology (lllumina Genome Analyzer II) to DLDCC members in October 2009. Many DLDCC researchers are interested in utilizing state-of-the-art technologies such as microarray expression profiling to attempt to dissect the causes and effects associated with cancer. For individual laboratories, the costs and levels of expertise associated with establishing a microarray capability is prohibitive (initial equipment purchases can cost between $250,000 and $750,000) requiring a facility like the GPSR. 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 disease including cancer. In cancer, complex barriers to the identification of cause include not only chromosomal abnormalities (gross and submicroscopic) but alterations in one or several genes having aberrant expression profiles or even hundreds to thousands of genes with perturbed expression. This can result in a mishmash of cancer gene expression profiles that is difficult to sort through presenting a challenge to researchers attempting to elucidate the cause and effect of cancer. The GPSR works to provide DLDCC members a solid base of expertise to tap in order to make sense of the large data sets generated with this technology.

贝勒医学院 (BCM) Dan L. Duncan 癌症中心 (DLDCC) 的基因组分析共享资源 (GPSR) 利用 BCM 和德克萨斯儿童医院 (TCH) 的专业知识，通过切割提供全面的服务向 DLDCC 成员提供前沿基因组和转录组技术。 GPSR 核心结合了尖端技术，为转录和基因组图谱提供最先进的质量基于微阵列和下一代测序的服务和分析。该资源为 DLDCC 研究人员利用微阵列技术、下一代测序技术、良好的实验设计以及数据管理和数据分析资源提供帮助。我们将于 2009 年 10 月开始向 DLDCC 成员提供下一代测序技术 (lllumina Genome Analyzer II)。许多 DLDCC 研究人员有兴趣利用最先进的技术（例如微阵列表达谱）来尝试剖析与癌症相关的原因和影响。对于个别实验室来说，建立微阵列能力的成本和专业水平是令人望而却步的（初始设备采购成本可能在 250,000 美元到 750,000 美元之间），需要像 GPSR 这样的设施。在过去的十年中，我们见证了与基因组测序工作的成果直接相关的研究的重大进展。这些成就为研究包括癌症在内的复杂疾病的研究人员带来了希望。在癌症中，病因识别的复杂障碍不仅包括染色体异常（肉眼可见的和亚微观的），还包括一个或多个具有异常表达谱的基因的改变，甚至数百到数千个表达受到干扰的基因的改变。这可能会导致癌症基因表达谱的混乱，难以排序这对试图阐明癌症原因和影响的研究人员提出了挑战。 GPSR 致力于为 DLDCC 成员提供坚实的专业知识基础，以便利用该技术生成的大型数据集。