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Updated: Aug 15, 2025

Surveying Low-Cost Methods to Measure Lifespan and Healthspan in Caenorhabditis elegans
Published on: May 18, 2022
Systems Biology of Ageing
Sharmilla Chandrasegaran1, Rebekah L Scanlan1, Peter Clark1
1Ageing Research Laboratories, Bioscience Institute, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, UK.
Abstract:
The ageing process is highly complex involving multiple processes operating at different biological levels. Systems Biology presents an approach using integrative computational and laboratory study that allows us to address such complexity. The approach relies on the computational analysis of knowledge and data to generate predictive models that may be validated with further laboratory experimentation. Our understanding of ageing is such that translational opportunities are within reach and systems biology offers a means to ensure that optimal decisions are made. We present an overview of the methods employed from bioinformatics and computational modelling and describe some of the insights into ageing that have been gained.
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