Replicative Lifespan
Replicative Lifespan - Related Videos
10:00
Measurement of Lifespan in Drosophila melanogaster
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Cited by 234 •
2013
Drosophila melanogaster is a powerful model organism for exploring the molecular basis of longevity regulation. This protocol will discuss the steps involved in generating a reproducible, population-based measurement of longevity as well as potential pitfalls and how to avoid them.
08:44
Invertebrate Lifespan Quantification
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2023
Many animals naturally stop growing upon reaching adulthood, after which they undergo aging or "senescence" until dying. The amount of time between an organism\'s birth and death is called its lifespan, which can be influenced by various biological and environmental factors. By exposing organisms to different growth conditions, scientists can better understand the factors affecting lifespan. Flies and worms are ideal organisms to perform such experiments, given their short generation time and...
02:26
Lifespan Analysis: Measuring C. elegans Longevity
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2023
This video describes a traditional, plate-based method of measuring the lifespan of C. elegans. The example protocol measures the lifespan of worms treated with RNAi.
12:41
Measuring Replicative Life Span in the Budding Yeast
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Cited by 167 •
2009
In this article we present a general protocol for measuring the replicative life span of yeast mother cells.
08:46
Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model
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Cited by 13 •
2011
Here we describe a set of DNA mutation assays that can be combined with the yeast chronological life span model to study the genes/pathways that regulate or contribute to genomic DNA instability during aging.
FAQs
Repeated division can increase molecular damage, disrupt genome stability, and impair proteostasis, the systems that maintain properly folded and functional proteins. As these changes accumulate, the cell progressively loses its ability to reproduce and may enter permanent growth arrest or die. Measuring division limits therefore links visible aging outcomes with underlying cellular maintenance failures.
Genome stability preserves accurate genetic information, while proteostasis maintains the quality and function of cellular proteins. Decline in either process can reduce cellular fitness across successive divisions. Examining both helps researchers distinguish whether a lifespan change reflects problems with genetic integrity, protein maintenance, or broader interactions among aging-related pathways.
In some organisms, telomere shortening contributes to the progressive loss of proliferative capacity. Telomeres are chromosome-associated regions whose shortening can place an additional limit on continued division. Considering telomere behavior alongside molecular damage, genome stability, and proteostasis helps researchers determine which aging mechanisms are relevant in a particular organism or cell system.
Researchers compare cells with different genetic backgrounds or altered biological conditions and track how many divisions they complete. Differences in division capacity can identify genes and pathways associated with longer or shorter cellular longevity. This approach connects cellular aging phenotypes with regulatory mechanisms and can highlight environmental conditions that influence the same outcome.
The central measurement is the number of completed cell divisions before the cell reaches permanent growth arrest or dies. Investigators apply this analysis to model systems such as budding yeast and cultured mammalian cells, then compare division counts across genetic or environmental conditions. The resulting measurements provide a quantitative basis for studying cellular aging.
These model systems allow researchers to examine division limits in distinct biological contexts and test how genes, pathways, and environmental conditions influence longevity. Findings from such studies help clarify mechanisms of senescence, the state of permanent growth arrest, while also connecting basic cellular aging research to disease and regenerative biology.