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Grant support

We thank Julian Ceron and Jeremy Vicencio (IDIBELL Barcelona) for producing the rpb-2 (cer135) allele. This project was funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (Grant Agreement No. 852201) , the Spanish Ministry of Economy, Industry and Competitiveness (MEIC) to the EMBL partnership, the Centro de Excelencia Severo Ochoa (CEX2020-001049-S, MCIN/AEI/10.13039/501100011033) , the CERCA Programme/Generalitat de Catalunya, the MEIC Excelencia award BFU2017-88615-P, and an award from the Glenn Foundation for Medical Research.

Analysis of institutional authors

Del Carmen-Fabregat, AndreaAuthorSedlackova, LuciaAuthorOswal, NatashaAuthorStroustrup, NicholasCorresponding Author
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Article

High-Throughput Behavioral Aging and Lifespan AssaysUsing the Lifespan Machine

Publicated to:Jove-Journal Of Visualized Experiments. (203): e65462- - 2024-01-01 (203), DOI: 10.3791/65462

Authors: Del Carmen-Fabregat, Andrea; Sedlackova, Lucia; Oswal, Natasha; Stroustrup, Nicholas

Affiliations

Barcelona Inst Sci & Technol BIST, Ctr Genom Regulat CRG, Barcelona, Spain - Author
Univ Pompeu Fabra UPF, Barcelona, Spain - Author

Abstract

Genetically identical animals kept in a constant environment display a wide distributionof lifespans, reflecting a large non-genetic, stochastic aspect to aging conservedacross all organisms studied. This stochastic component means that in order tounderstand aging and identify successful interventions that extend the lifespan orimprove health, researchers must monitor large populations of experimental animalssimultaneously. Traditional manual death scoring limits the throughput and scalerequired for large-scale hypothesis testing, leading to the development of automatedmethods for high-throughput lifespan assays. The Lifespan Machine (LSM) is a high-throughput imaging platform that combines modified flatbed scanners with customimage processing and data validation software for the life-long tracking of nematodes.The platform constitutes a major technical advance by generating highly temporallyresolved lifespan data from large populations of animals at an unprecedented scaleand at a statistical precision and accuracy equal to manual assays performed byexperienced researchers. Recently, the LSM has been further developed to quantifythe behavioral and morphological changes observed during aging and relate themto lifespan. Here, we describe how to plan, run, and analyze an automated lifespanexperiment using the LSM. We further highlight the critical steps required for thesuccessful collection of behavioral data and high-quality survival curves

Keywords
Caenorhabditis-elegansGrowthInhibitionLongevitySystematic rnai screen

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Jove-Journal Of Visualized Experiments due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2024 there are still no calculated indicators, but in 2023, it was in position , thus managing to position itself as a Q2 (Segundo Cuartil), in the category Chemical Engineering (Miscellaneous). Notably, the journal is positioned en el Cuartil Q3 for the agency WoS (JCR) in the category Multidisciplinary Sciences.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-05-07:

  • WoS: 1
  • Scopus: 1
Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (DEL CARMEN FABREGAT, ANDREA) and Last Author (Stroustrup, Nicholas Edward).

the author responsible for correspondence tasks has been Stroustrup, Nicholas Edward.