ArticleGeroScience2019
Automated lifespan determination across Caenorhabditis strains and species reveals assay-specific effects of chemical interventions.
Article in GeroScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
25 citing papers in PubMed.
- A Real-Time Automated Deep Learning Workflow for Non-invasive High-Magnification Imaging ofbioRxiv : the preprint server for biology · 2026Article
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- Distribution Analysis of the Lifespan Trait in Drosophila.International journal of molecular sciences · 2025Article
- Review
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- Short lifespan is one's fate, long lifespan is one's achievement: lessons from Daphnia.GeroScience · 2024Article
- Low-dose naltrexone extends healthspan and lifespan iniScience · 2024Article
- The coupling between healthspan and lifespan inAging · 2024Article
- Antioxidants green tea extract and nordihydroguaiaretic acid confer species and strain-specific lifespan and health effects in Caenorhabditis nematodes.GeroScience · 2024Article
- Unraveling effects of anti-aging drugs on C. elegans using liposomes.GeroScience · 2023Article
- A biphasic model of lifespan in nematodeRoyal Society open science · 2023Article
- Multi-omics analysis identifies essential regulators of mitochondrial stress response in two wild-typeiScience · 2022Article
- Genetic diversity estimates for themicroPublication biology · 2022Article
- High-resolution yeast quiescence profiling in human-like media reveals complex influences of auxotrophy and nutrient availability.GeroScience · 2021Article
- ApplyingFrontiers in aging · 2021Article
- Phenotypic Screening inPharmaceuticals (Basel, Switzerland) · 2020Review
- Plant and fungal products that extend lifespan inMicrobial cell (Graz, Austria) · 2020Review
- Article
Corrections and comments
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Authors and funding
31 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.