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Visualizing Omics Data from Spaceflight Samples using the NASA GeneLab Platform

机译：使用NASA Genelab平台可视化Spaptflight样本的OMICS数据

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NASA's GeneLab platform is the first omics database and platform limited to studies related to space flight. This platform provides the scientific community a valuable resource for exploring, evaluating, and discovering hypotheses of space biology. In the platform we offer users multiple tools to explore GeneLab data including: a comprehensive, well-annotated data repository for all space related omics data, omics data analysis tools, space environmental metadata, and differential gene expression visualization tools. Here we focus on the latter, and how these tools can be utilized to explore scientific questions related to space biology. Spaceflight is known to create many health risks in astronauts due to both microgravity and space radiation exposure. Current research is focused on the underlying biological mechanisms behind these health risks and potential countermeasures to mitigate these health risks. One specific health risk is related to increased liver damage during exposure to the space environment (Beheshti et al, Scientific Reports, 2019). Longer exposure to the space environment appears to cause increased lipid accumulation and transcriptomic analysis suggests pathways and genes related to liver disease (i.e. PPARα, Insulin or INS, and Glucagon or GCG) can be activated. We use this scenario to demonstrate how GeneLab's platform and visualization capabilities can be utilized to quickly reveal this process in GeneLab platform data. Lastly, we discuss some issues and best practices for implementing similar, public-platform visualization tools.
机译：NASA的Genelab平台是第一个OMICS数据库和平台限于与太空飞行有关的研究。该平台为科学界提供了探索，评​​估和发现空间生物学假设的宝贵资源。在该平台中，我们为用户提供多种工具来探索Genelab数据，包括：所有空间相关的OMIC数据，OMIC数据分析工具，空间环境元数据和差分基因表达式可视化工具的全面，良好的注释数据存储库。在这里，我们专注于后者，以及如何利用这些工具来探索与空间生物学相关的科学问题。由于微重力和空间辐射曝光，众所周知，众所周知，宇航员在宇航员中创造了许多健康风险。目前的研究专注于这些健康风险背后的潜在生物机制以及减轻这些健康风险的潜在对策。一种特定的健康风险与空间环境暴露时的肝损伤增加（Cheheshti等，2019年）。较长的暴露于空间环境似乎导致增加的脂质积累和转录组分析表明可以激活与肝病有关的途径和基因（即PPARα，胰岛素或胰胰高血糖素或GCG）。我们使用这种情况来演示Genelab的平台和可视化功能如何用于在Genelab平台数据中快速揭示此过程。最后，我们讨论了实现类似的公共平台可视化工具的一些问题和最佳实践。

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