McKenna Neil J, Howard Christopher L, Aufiero Michael, Easton-Marks Jeremy, Steffen David L, Becnel Lauren B, Magnuson Mark A, McIndoe Richard A, Cartailler Jean-Philippe
Ph.D, Vanderbilt Center Stem for Cell Biology, Vanderbilt University Medical Center, 1207 17th Avenue South, Suite 200, Nashville, Tennessee 37203, USA.
Mol Endocrinol. 2012 Oct;26(10):1675-81. doi: 10.1210/me.2012-1077. Epub 2012 Jun 25.
The National Institute of Diabetes, Digestive and Kidney Diseases (NIDDK) supports multiple basic science consortia that generate high-content datasets, reagent resources, and methodologies, in the fields of kidney, urology, hematology, digestive, and endocrine diseases, as well as metabolic diseases such as diabetes and obesity. These currently include the Beta Cell Biology Consortium, the Nuclear Receptor Signaling Atlas, the Diabetic Complications Consortium, and the Mouse Metabolic Phenotyping Centers. Recognizing the synergy that would accrue from aggregating information generated and curated by these initiatives in a contiguous informatics network, we created the NIDDK Consortium Interconnectivity Network (dkCOIN; www.dkcoin.org). The goal of this pilot project, organized by the NIDDK, was to establish a single point of access to a toolkit of interconnected resources (datasets, reagents, and protocols) generated from individual consortia that could be readily accessed by biologists of diverse backgrounds and research interests. During the pilot phase of this activity dkCOIN collected nearly 2000 consortium-curated resources, including datasets (functional genomics) and reagents (mouse strains, antibodies, and adenoviral constructs) and built nearly 3000 resource-to-resource connections, thereby demonstrating the feasibility of further extending this database in the future. Thus, dkCOIN promises to be a useful informatics solution for rapidly identifying useful resources generated by participating research consortia.
美国国立糖尿病、消化和肾脏疾病研究所(NIDDK)支持多个基础科学联盟,这些联盟在肾脏、泌尿学、血液学、消化和内分泌疾病以及糖尿病和肥胖症等代谢疾病领域生成高内涵数据集、试剂资源和方法。目前,这些联盟包括β细胞生物学联盟、核受体信号图谱联盟、糖尿病并发症联盟和小鼠代谢表型分析中心。认识到将这些计划所产生和整理的信息整合到一个连续的信息学网络中会产生协同效应,我们创建了NIDDK联盟互联网络(dkCOIN;www.dkcoin.org)。由NIDDK组织的这个试点项目的目标是建立一个单一的访问点,以获取由各个联盟生成的相互关联的资源工具包(数据集、试剂和方案),不同背景和研究兴趣的生物学家都可以方便地访问这些资源。在该活动的试点阶段,dkCOIN收集了近2000个联盟整理的资源,包括数据集(功能基因组学)和试剂(小鼠品系、抗体和腺病毒构建体),并建立了近3000个资源与资源之间的连接,从而证明了未来进一步扩展这个数据库的可行性。因此,dkCOIN有望成为一个有用的信息学解决方案,用于快速识别参与研究联盟所产生的有用资源。