Core F - Data Management and Dissemination Core

总结 登革病毒（DENV）在人类宿主的免疫系统中诱导复杂的反应，调节整个网络 RNA转录，蛋白质信号传导和代谢，并影响细胞，组织和整个生物体 行为。为了捕捉这种广泛的变化，DHIPC的项目1-3和科学核心B-D将产生 大量的免疫分析信息，包括RNA-Seq读数、HLA和KIR分型、蛋白质组学、流式细胞术、免疫学和免疫学。 细胞计数和CyTOF数据、细胞因子谱（Luminex）数据、中和抗体滴度、B/T细胞功能性数据， 靶向qRT-PCR水平和ChIP-Seq/ChIA-PET数据。大量的数据需要严格的质量控制， 规范化，保护和组织，以便与公共数据集进行比较，所有这些都将是 数据管理和传播核心（Core F）。然后我们将提供这些数据， 适合Core E（数据分析和建模核心）快速分析的格式，将它们集成到 多尺度相互作用网络和预测模型能够产生对DENV的机械见解， 用于临床结果的主机交互和分类器，其结合了前所未有的大量训练数据， 达到最高精度。最后，该核心将通过交互式可视化来促进对这些模型的探索 技术，包括最先进的计算机生成的3D环境和动态网络仪表板 可访问的个别项目和科学核心。通过“关闭循环”， 个别项目，核心E的网络分析的预测，以及验证研究的设计，我们的核心将 作为DHIPC的引擎，用于真正的数据驱动，假设中立的发现DENV宿主的微妙之处 相互作用，推动显著的临床结果。

SUMMARY Dengue virus (DENV) induces complex responses in a human host's immune system, modulating entire networks of RNA transcription, protein signaling, and metabolism and impacting cellular, tissue, and whole organism behaviors. To capture this broad spectrum of changes, DHIPC's Projects 1-3 and Scientific Cores B-D will produce a plethora of immune profiling information, including RNA-Seq reads, HLA and KIR typing, proteomics, flow cytometry and CyTOF data, cytokine profiling (Luminex) data, neutralizing antibody titers, B/T cell functionality data, targeted qRT-PCR levels, and ChIP-Seq/ChIA-PET data. This deluge of data requires rigorous quality control, normalization, safeguarding, and organization for ready comparison with public datasets, all of which will be performed by this Core, the Data Management and Dissemination Core (Core F). We will then provide this data in formats suitable for rapid analysis by Core E (the Data Analysis and Modeling Core), which will integrate them into multiscale interaction networks and predictive models capable of producing both mechanistic insights into DENV- host interactions and classifiers for clinical outcomes that incorporate an unprecedented amount of training data to achieve maximal precision. Finally, this Core will facilitate exploration of these models by interactive visualization techniques, including state-of-the-art computer-generated 3D environments and dynamic web dashboards accessible to the Individual Projects and Scientific Cores. By “closing the loop” between data produced by the Individual Projects, the predictions of Core E's network analysis, and the design of validation studies, our Core will serve as DHIPC's engine for truly data-driven, hypothesis-neutral discovery of the subtleties of DENV-host interaction that drive significant clinical outcomes.