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An automated platform to monitor long-term behavior and healthspan in Caenorhabditis elegans under precise environmental control
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 common...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7287092/ https://www.ncbi.nlm.nih.gov/pubmed/32523044 http://dx.doi.org/10.1038/s42003-020-1013-2 |
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author | Le, Kim N. Zhan, Mei Cho, Yongmin Wan, Jason Patel, Dhaval S. Lu, Hang |
author_facet | Le, Kim N. Zhan, Mei Cho, Yongmin Wan, Jason Patel, Dhaval S. Lu, Hang |
author_sort | Le, Kim N. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7287092 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72870922020-06-19 An automated platform to monitor long-term behavior and healthspan in Caenorhabditis elegans under precise environmental control Le, Kim N. Zhan, Mei Cho, Yongmin Wan, Jason Patel, Dhaval S. Lu, Hang Commun Biol Article 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. Nature Publishing Group UK 2020-06-10 /pmc/articles/PMC7287092/ /pubmed/32523044 http://dx.doi.org/10.1038/s42003-020-1013-2 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Le, Kim N. Zhan, Mei Cho, Yongmin Wan, Jason Patel, Dhaval S. Lu, Hang An automated platform to monitor long-term behavior and healthspan in Caenorhabditis elegans under precise environmental control |
title | An automated platform to monitor long-term behavior and healthspan in Caenorhabditis elegans under precise environmental control |
title_full | An automated platform to monitor long-term behavior and healthspan in Caenorhabditis elegans under precise environmental control |
title_fullStr | An automated platform to monitor long-term behavior and healthspan in Caenorhabditis elegans under precise environmental control |
title_full_unstemmed | An automated platform to monitor long-term behavior and healthspan in Caenorhabditis elegans under precise environmental control |
title_short | An automated platform to monitor long-term behavior and healthspan in Caenorhabditis elegans under precise environmental control |
title_sort | automated platform to monitor long-term behavior and healthspan in caenorhabditis elegans under precise environmental control |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7287092/ https://www.ncbi.nlm.nih.gov/pubmed/32523044 http://dx.doi.org/10.1038/s42003-020-1013-2 |
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