Advancing the Scientific Potential of Transcriptomics in Aquatic Models

描述(申请人提供)：人类疾病通常涉及基因表达的时间和水平的变化，转录组学研究的过程，每个表达的基因及其转录水平的鉴定。研究人类变异与基因表达改变之间的关联可以导致对疾病状态的更深层次的、机械性的理解，并可以提出治疗建议。一个有希望的发现途径是对水生物种中常见人类疾病的新模式进行转录转录分析，目前这些水生物种的基因组资源很少。测序技术的突破为非模式生物的转录工作打开了大门。如9月1日的详细信息所示。2010年举办了题为“在水生模型中实现转译技术的科学潜力”的讲习班，目前有几个障碍阻碍了这些工具在水生模型系统中的成功使用。该项目的目标是通过开发必要的协议和工具来克服这些障碍，使研究人员能够利用DNA测序技术的最新进展，更好地对水生医学模型进行转录组分析。该项目将开发用于人类疾病水生模型转录组分析的最佳实验室方案、分析理论和计算软件，并将帮助研究人员计划和分析实验结果。协议和工具将通过Galaxy网络平台作为计算软件和基于网络的教程的易于使用的界面提供。由于许多从事水生非模式生物工作的研究人员无法获得最新的测序设施和高通量转录组分析的计算专业知识，因此将为水生模式生物研究人员开发使用该大学的机制。俄勒冈州高通量测序设备公司。同样，许多研究人员无法获得足够强大的计算机集群来执行现代转录学的计算要求，因此该项目将增加在大学运行的计算管道的可用性。俄勒冈州。因此，该项目将提供广泛需要的工具，提高进展障碍，并改进水生医学模型中转录组分析的方法和技术，从而促进我们对基因调控在健康和疾病中的作用的理解。

DESCRIPTION (provided by applicant): Human disease often involves changes in the timing and level of gene expression, processes investigated by transcriptomics, the identification of each expressed gene and its transcriptional levels. Studies of the association of human variation with altered gene expression can lead to a deeper, mechanistic understanding of disease states and can suggest therapies. A promising route to discovery is the transcriptomic analysis of novel models of common human diseases in aquatic species for which few genomic resources presently exist. Breakthroughs in sequencing technologies have opened the door for transcriptomics in non-model organisms. As detailed at the Sept. 2010 workshop 'Realizing the Scientific Potential of Transcriptomics in Aquatic Models', several impediments currently hinder the successful use of these tools in aquatic model systems. The goal of this project is to overcome these barriers by developing the protocols and tools necessary for researchers to capitalize on recent advances in DNA sequencing technology to better perform transcriptome analyses on aquatic medical models. This project will develop optimal laboratory protocols, analytical theory and computational software for transcriptome analyses of aquatic models of human disease and will help researchers plan and analyze experimental results. Protocols and tools will be made available via the Galaxy web platform as easy-to-use interfaces for computational software and web-based tutorials. Because many researchers working with aquatic non-model organisms lack access to the latest sequencing facilities and computational expertise for the analysis of high throughput transcriptomics, mechanisms will be developed for aquatic model organism researchers to use the Univ. of Oregon High Throughput Sequencing Facility. Similarly, many researchers lack access to computer clusters sufficiently powerful to execute the computational demands of modern transcriptomics, so this project will increase the availability of computational pipelines running at the Univ. of Oregon. This project will therefore provide widely needed tools, raise barriers to progress, and improve methods and technologies for transcriptome analysis in aquatic medical models, thus advancing our understanding of the role of gene regulation in health and disease.