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Automated lifespan determination across Caenorhabditis strains and species reveals assay-specific effects of chemical interventions
The goal of the Caenorhabditis Intervention Testing Program is to identify robust and reproducible pro-longevity interventions that are efficacious across genetically diverse cohorts in the Caenorhabditis genus. The project design features multiple experimental replicates collected by three differen...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6925072/ https://www.ncbi.nlm.nih.gov/pubmed/31820364 http://dx.doi.org/10.1007/s11357-019-00108-9 |
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author | Banse, Stephen A. Lucanic, Mark Sedore, Christine A. Coleman-Hulbert, Anna L. Plummer, W. Todd Chen, Esteban Kish, Jason L. Hall, David Onken, Brian Presley, Michael P. Jones, E. Grace Blue, Benjamin W. Garrett, Theo Abbott, Mark Xue, Jian Guo, Suzhen Johnson, Erik Foulger, Anna C. Chamoli, Manish Falkowski, Ron Melentijevic, Ilija Harinath, Girish Huynh, Phu Patel, Shobhna Edgar, Daniel Jarrett, Cody M. Guo, Max Kapahi, Pankaj Lithgow, Gordon J. Driscoll, Monica Phillips, Patrick C. |
author_facet | Banse, Stephen A. Lucanic, Mark Sedore, Christine A. Coleman-Hulbert, Anna L. Plummer, W. Todd Chen, Esteban Kish, Jason L. Hall, David Onken, Brian Presley, Michael P. Jones, E. Grace Blue, Benjamin W. Garrett, Theo Abbott, Mark Xue, Jian Guo, Suzhen Johnson, Erik Foulger, Anna C. Chamoli, Manish Falkowski, Ron Melentijevic, Ilija Harinath, Girish Huynh, Phu Patel, Shobhna Edgar, Daniel Jarrett, Cody M. Guo, Max Kapahi, Pankaj Lithgow, Gordon J. Driscoll, Monica Phillips, Patrick C. |
author_sort | Banse, Stephen A. |
collection | PubMed |
description | The goal of the Caenorhabditis Intervention Testing Program is to identify robust and reproducible pro-longevity interventions that are efficacious across genetically diverse cohorts in the Caenorhabditis genus. The project design features multiple experimental replicates collected by three different laboratories. Our initial effort employed fully manual survival assays. With an interest in increasing throughput, we explored automation with flatbed scanner-based Automated Lifespan Machines (ALMs). We used ALMs to measure survivorship of 22 Caenorhabditis strains spanning three species. Additionally, we tested five chemicals that we previously found extended lifespan in manual assays. Overall, we found similar sources of variation among trials for the ALM and our previous manual assays, verifying reproducibility of outcome. Survival assessment was generally consistent between the manual and the ALM assays, although we did observe radically contrasting results for certain compound interventions. We found that particular lifespan outcome differences could be attributed to protocol elements such as enhanced light exposure of specific compounds in the ALM, underscoring that differences in technical details can influence outcomes and therefore interpretation. Overall, we demonstrate that the ALMs effectively reproduce a large, conventionally scored dataset from a diverse test set, independently validating ALMs as a robust and reproducible approach toward aging-intervention screening. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11357-019-00108-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6925072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-69250722020-01-03 Automated lifespan determination across Caenorhabditis strains and species reveals assay-specific effects of chemical interventions Banse, Stephen A. Lucanic, Mark Sedore, Christine A. Coleman-Hulbert, Anna L. Plummer, W. Todd Chen, Esteban Kish, Jason L. Hall, David Onken, Brian Presley, Michael P. Jones, E. Grace Blue, Benjamin W. Garrett, Theo Abbott, Mark Xue, Jian Guo, Suzhen Johnson, Erik Foulger, Anna C. Chamoli, Manish Falkowski, Ron Melentijevic, Ilija Harinath, Girish Huynh, Phu Patel, Shobhna Edgar, Daniel Jarrett, Cody M. Guo, Max Kapahi, Pankaj Lithgow, Gordon J. Driscoll, Monica Phillips, Patrick C. GeroScience Original Article The goal of the Caenorhabditis Intervention Testing Program is to identify robust and reproducible pro-longevity interventions that are efficacious across genetically diverse cohorts in the Caenorhabditis genus. The project design features multiple experimental replicates collected by three different laboratories. Our initial effort employed fully manual survival assays. With an interest in increasing throughput, we explored automation with flatbed scanner-based Automated Lifespan Machines (ALMs). We used ALMs to measure survivorship of 22 Caenorhabditis strains spanning three species. Additionally, we tested five chemicals that we previously found extended lifespan in manual assays. Overall, we found similar sources of variation among trials for the ALM and our previous manual assays, verifying reproducibility of outcome. Survival assessment was generally consistent between the manual and the ALM assays, although we did observe radically contrasting results for certain compound interventions. We found that particular lifespan outcome differences could be attributed to protocol elements such as enhanced light exposure of specific compounds in the ALM, underscoring that differences in technical details can influence outcomes and therefore interpretation. Overall, we demonstrate that the ALMs effectively reproduce a large, conventionally scored dataset from a diverse test set, independently validating ALMs as a robust and reproducible approach toward aging-intervention screening. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11357-019-00108-9) contains supplementary material, which is available to authorized users. Springer International Publishing 2019-12-10 /pmc/articles/PMC6925072/ /pubmed/31820364 http://dx.doi.org/10.1007/s11357-019-00108-9 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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. |
spellingShingle | Original Article Banse, Stephen A. Lucanic, Mark Sedore, Christine A. Coleman-Hulbert, Anna L. Plummer, W. Todd Chen, Esteban Kish, Jason L. Hall, David Onken, Brian Presley, Michael P. Jones, E. Grace Blue, Benjamin W. Garrett, Theo Abbott, Mark Xue, Jian Guo, Suzhen Johnson, Erik Foulger, Anna C. Chamoli, Manish Falkowski, Ron Melentijevic, Ilija Harinath, Girish Huynh, Phu Patel, Shobhna Edgar, Daniel Jarrett, Cody M. Guo, Max Kapahi, Pankaj Lithgow, Gordon J. Driscoll, Monica Phillips, Patrick C. Automated lifespan determination across Caenorhabditis strains and species reveals assay-specific effects of chemical interventions |
title | Automated lifespan determination across Caenorhabditis strains and species reveals assay-specific effects of chemical interventions |
title_full | Automated lifespan determination across Caenorhabditis strains and species reveals assay-specific effects of chemical interventions |
title_fullStr | Automated lifespan determination across Caenorhabditis strains and species reveals assay-specific effects of chemical interventions |
title_full_unstemmed | Automated lifespan determination across Caenorhabditis strains and species reveals assay-specific effects of chemical interventions |
title_short | Automated lifespan determination across Caenorhabditis strains and species reveals assay-specific effects of chemical interventions |
title_sort | automated lifespan determination across caenorhabditis strains and species reveals assay-specific effects of chemical interventions |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6925072/ https://www.ncbi.nlm.nih.gov/pubmed/31820364 http://dx.doi.org/10.1007/s11357-019-00108-9 |
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