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Global transcriptomic analysis suggests carbon dioxide as an environmental stressor in spaceflight: A systems biology GeneLab case study

机译:全局转录组分析表明,碳二氧化碳作为太空飞行的环境压力源:系统生物学基因案例研究

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Spaceflight introduces a combination of environmental stressors, including microgravity, ionizing radiation, changes in diet and altered atmospheric gas composition. In order to understand the impact of each environmental component on astronauts it is important to investigate potential influences in isolation. Rodent spaceflight experiments involve both standard vivarium cages and animal enclosure modules (AEMs), which are cages used to house rodents in spaceflight. Ground control AEMs are engineered to match the spaceflight environment. There are limited studies examining the biological response invariably due to the configuration of AEM and vivarium housing. To investigate the innate global transcriptomic patterns of rodents housed in spaceflight-matched AEM compared to standard vivarium cages we utilized publicly available data from the NASA GeneLab repository. Using a systems biology approach, we observed that AEM housing was associated with significant transcriptomic differences, including reduced metabolism, altered immune responses, and activation of possible tumorigenic pathways. Although we did not perform any functional studies, our findings revealed a mild hypoxic phenotype in AEM, possibly due to atmospheric carbon dioxide that was increased to match conditions in spaceflight. Our investigation illustrates the process of generating new hypotheses and informing future experimental research by repurposing multiple space-flown datasets.
机译:太空飞行引入了环境压力源的组合,包括微匍匐,电离辐射,饮食的变化和改变的大气气体组合物。为了了解每个环境成分对宇航员的影响,重要的是调查潜在的潜在影响。啮齿动物的空间实验涉及标准的Vivarium笼和动物外壳模块(AEM),这些模块(AEM)是用于在太空飞行中容纳啮齿动物的笼子。地面控制艾美被设计成匹配太空环境。由于AEM和Vivarium壳体的配置,有限地研究了生物反应。为了调查与标准的Vivarium笼子相比,我们与标准的Vivarium Cages相比,我们利用了来自NASA Genelab储存库的公开数据的啮齿动物的先天全球转录组模式。使用系统生物学方法,我们观察到AEM外壳与显着的转录组差异有关,包括降低代谢,改变的免疫应答和可能的致瘤途径的激活。虽然我们没有进行任何功能性研究,但我们的研究结果揭示了AEM中的一种温和的缺氧表型,可能是由于大气二氧化碳增加,这增加到空间中的条件。我们的调查说明了通过重新修复多个空间飞行数据集来生成新假设和通知未来实验研究的过程。

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