1. Automated Lifespan Determination Across Caenorhabditis Strains and Species Reveals Assay-Specific Effects of Chemical Interventions
- Author
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Daniel Edgar, Jian Xue, Erik Johnson, David Hall, Theo Garrett, Suzhen Guo, Ilija Melentijevic, Gordon J. Lithgow, Girish Harinath, Manish Chamoli, Michael P. Presley, Max Guo, Shobhna Patel, Patrick C. Phillips, Benjamin W. Blue, Jason L. Kish, Esteban Chen, Cody M. Jarrett, Anna C. Foulger, Brian Onken, Mark Abbott, Ron Falkowski, Monica Driscoll, Anna L. Coleman-Hulbert, Mark Lucanic, Phu Huynh, W. Todd Plummer, E. Grace Jones, Pankaj Kapahi, Stephen A. Banse, and Christine A Sedore
- Subjects
0301 basic medicine ,Aging ,Longevity ,Psychological intervention ,Computational biology ,Automation ,03 medical and health sciences ,0302 clinical medicine ,Animals ,CITP ,Caenorhabditis elegans ,030304 developmental biology ,Light exposure ,Protocol (science) ,0303 health sciences ,Lifespan ,biology ,Geriatrics gerontology ,Lasers ,fungi ,biology.organism_classification ,Caenorhabditis ,030104 developmental biology ,Lifespan machine ,Thioflavin T ,Ketoglutaric Acids ,Original Article ,Biological Assay ,Geriatrics and Gerontology ,Photic Stimulation ,030217 neurology & neurosurgery ,Project design - Abstract
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.
- Published
- 2019