An automated platform to monitor long-term behavior and healthspan inCaenorhabditis elegansunder precise environmental control
An automated platform to monitor long-term behavior and healthspan inCaenorhabditis elegansunder precise environmental control
复制标题
DOI：
10.1038/s42003-020-1013-2
复制
发表时间：
2020-06-10
影响因子：
5.9
通讯作者：
Lu, Hang
中科院分区：
文献类型：
--
作者：
Le, Kim N.;Zhan, Mei;Lu, Hang
所有生物的健康和寿命都受到环境的强烈影响。为了充分了解环境因素如何与遗传和随机因素相互作用来调节衰老过程，精确控制环境条件是长期研究的关键。在常用的模式生物秀丽隐杆线虫中，现有的健康寿命和寿命测定方法存在固有的局限性，难以在精确的环境控制下进行大规模的纵向衰老研究。为了解决这些限制，我们开发了健康和寿命测试中心（Health），这是一种基于微流体的自动化系统，用于稳健的纵向行为监测。我们的系统提供长期（即整个生命周期）的时空环境控制。我们展示了在各种遗传和环境扰动下的健康寿命和寿命研究，同时观察个性如何在衰老过程中发挥作用。该系统可推广到老龄化研究之外，特别是短期或长期的行为分析，并可适用于其他模型系统。Kim N. Le， Mei Zhan等人开发了一种基于微流体的自动化系统HeALTH，该系统提供了时空环境控制并允许长期行为监测。使用秀丽隐杆线虫，他们展示了这个健康和寿命研究平台的稳健性，并强调了它对其他模型系统的适应性。
Health and longevity in all organisms are strongly influenced by the environment. To fully understand how environmental factors interact with genetic and stochastic factors to modulate the aging process, it is crucial to precisely control environmental conditions for long-term studies. In the commonly used model organismCaenorhabditis elegans, existing assays for healthspan and lifespan have inherent limitations, making it difficult to perform large-scale longitudinal aging studies under precise environmental control. To address these constraints, we developed the Health and Lifespan Testing Hub (HeALTH), an automated, microfluidic-based system for robust longitudinal behavioral monitoring. Our system provides long-term (i.e. entire lifespan) spatiotemporal environmental control. We demonstrate healthspan and lifespan studies under a variety of genetic and environmental perturbations while observing how individuality plays a role in the aging process. This system is generalizable beyond aging research, particularly for short- or long-term behavioral assays, and could be adapted for other model systems.Kim N. Le, Mei Zhan et al. develop an automated microfluidic-based system, HeALTH, which provides spatiotemporal environmental control and allows for long-term behavioral monitoring. UsingCaenorhabditis elegansthey demonstrate the robustness of this platform for health and lifespan studies, and highlight its adaptability to other model systems.