An automated platform to monitor long-term behavior and healthspan in Caenorhabditis elegans under precise environmental control
| Autor: | Dhaval S. Patel, Mei Zhan, Hang Lu, Yongmin Cho, Kim N. Le, Jason Wan |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Aging
Computer science media_common.quotation_subject Longevity Microfluidics ved/biology.organism_classification_rank.species Medicine (miscellaneous) Computational biology Models Biological Article General Biochemistry Genetics and Molecular Biology Adaptability Behavioural methods Automation 03 medical and health sciences 0302 clinical medicine Animals Long term behavior Caenorhabditis elegans Model organism lcsh:QH301-705.5 030304 developmental biology media_common 0303 health sciences Behavior Animal Lab-on-a-chip biology ved/biology High-throughput screening Robustness (evolution) Environmental Exposure biology.organism_classification lcsh:Biology (General) Mutation Experimental organisms General Agricultural and Biological Sciences 030217 neurology & neurosurgery |
| Zdroj: | Communications Biology Communications Biology, Vol 3, Iss 1, Pp 1-13 (2020) |
| ISSN: | 2399-3642 |
| DOI: | 10.1038/s42003-020-1013-2 |
| Popis: | 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 organism Caenorhabditis 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. Using Caenorhabditis elegans they demonstrate the robustness of this platform for health and lifespan studies, and highlight its adaptability to other model systems. |
| Databáze: | OpenAIRE |
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