Genomics and Computational Core

基因组学和计算核心

• 批准号: 10063450
• 负责人: WILLIAM Lee KRAUS
• 金额: $ 20.42万
• 依托单位: UT SOUTHWESTERN MEDICAL CENTER
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-12-15 至 2023-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10063450
• 关键词: Biological; Biological Assay; Biology; Birth; Catalogs; Cervix Uteri; ChIP-seq; Clinical; Clinical Research; Collaborations; Consultations; Core Facility; DNA Sequencing Facility; DNA-Directed RNA Polymerase; Data; Data Analyses; Data Set; Experimental Designs; Fee-for-Service Plans; Genes; Genetic Transcription; Genome; Genomic Library; Genomic approach; Genomics; Goals; Guidelines; Human Resources; Infrastructure; Laboratories; Laboratory Scientists; Lead; Libraries; Methodology; Molecular; Molecular Biology; Molecular Probes; Nuclear; Pregnancy; Premature Birth; Preparation; Prolonged labor; Quality Control; RNA; Regulation; Reproductive Biology; Research Project Grants; Running; Sampling; Science; Scientist; Services; Signal Transduction; Site; Technology; Testing; Therapeutic Intervention; Time; Tissues; Work; archive data; archived data; base; biological systems; computerized tools; cost; cost effective; data archive; data standards; deep sequencing; design; experimental study; follow-up; genomic data; genomic tools; global run on sequencing; histone modification; meetings; myometrium; next generation sequencing; prevent; public repository; skills; tool; transcription factor; transcriptome sequencing; translational study; wasting

Project Summary/Abstract - Genomics and Computational Core (Kraus - PI) State-of-the-art genomic technologies combined with cutting-edge computational tools have dramatically advanced our understanding of signal-regulated gene transcription in a wide variety of biological systems. Next generation sequencing-based assays, such as RNA sequencing (RNA-seq), global run-on sequencing (GRO-seq), and chromatin immunoprecipitation sequencing (ChIP-seq), have revealed new information about the regulation of steady-state RNA levels, as well as the localization and regulation of actively transcribing RNA polymerase, transcription factors, and histone modifications across the genome. The global views generated by these assays provide a uniquely informative perspective that cannot be achieved by analyzing one or a few genes at a time. Although the field of reproductive biology has begun to incorporate genomic tools into its repertoire, it has yet to maximize the use of these unique discovery and analysis tools. The goal of this project is to establish a Genomics and Computational Core (GCC) that will serve the needs of all four research projects, all of which propose to use genomic approaches as discovery tools and as assays to probe molecular mechanisms. The GCC will eliminate the need for each lab to establish these methodologies on its own, or to use fee-for-service alternatives that typically only provide first pass data analysis and do not see the experiment through from start to finish. In this regard, the GCC will provide comprehensive service that includes experimental design, genomic library preparation, data analysis, and data archiving. In addition, the GCC will act to promote and facilitate collaborations between the personnel working in different labs. To save costs and increase efficiency, the GCC will leverage infrastructure and expertise already present in the Green Center for Reproductive Biology Sciences. Specifically, the GCC will (1) provide consultation to the PIs and their laboratories during the planning and design stages of all genomic experiments, (2) prepare high-quality genomic libraries from samples collected by the PIs and their laboratories for next generation sequencing, (3) perform quality control analyses on the genomic libraries and the resulting data, and (4) analyze the genomic data generated by the PIs and their laboratories. We anticipate that the GCC will greatly enhance (1) the ease of performing genomic experiments, (2) the quality of the data obtained and the analyses performed, and (3) the efficiency of doing genomic experiments and concomitant waste reduction. Most importantly, the GCC will greatly enhance the efforts of the PIs and their laboratories in obtaining meaningful biological information from genomic experiments.

项目摘要/摘要-基因组学和计算核心（Kraus - PI）