Related Experiment Video
Updated: Jul 4, 2025

08:16
Caenorhabditis elegans as a Model System for Discovering Bioactive Compounds Against Polyglutamine-Mediated Neurotoxicity
Published on: September 21, 2021
3.4K
Assessing polyglutamine tract aggregation in the nematode Caenorhabditis elegans
Aggeliki Sotiriou1, Christina Ploumi1, Nikolaos Charmpilas2
1Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas, Heraklion, Greece; Department of Basic Sciences, Faculty of Medicine, University of Crete, Heraklion, Greece.
Methods in Cell Biology
|February 1, 2024
Summary
Maintaining proteome integrity is vital for health and aging. This study introduces a new method using Caenorhabditis elegans to track protein aggregation and assess proteostasis during aging.
Area of Science:
- Cellular Biology
- Aging Research
- Neurodegenerative Diseases
Background:
- Proteome integrity is essential for cell function and organism survival.
- Compromised proteostasis is linked to aging and neurodegenerative diseases.
- The regulation of protein homeostasis (proteostasis) is not fully understood.
Purpose of the Study:
- To develop and describe an experimental pipeline for analyzing protein aggregation in vivo.
- To use polyglutamine (polyQ) tract aggregation as a measure of proteostasis during aging.
- To utilize the nematode Caenorhabditis elegans as a model organism for studying human protein aggregation dynamics.
Main Methods:
- Establishment of an experimental pipeline in Caenorhabditis elegans.
- Analysis of polyglutamine (polyQ) tract aggregation dynamics.
- In vivo monitoring of proteostasis during the aging process.
Main Results:
- The study successfully established a pipeline for analyzing polyQ aggregation in C. elegans.
- The method allows for the in vivo assessment of proteostasis during aging.
- PolyQ aggregation serves as a quantifiable indicator of proteostasis decline.
Conclusions:
- The developed pipeline provides a valuable tool for studying proteostasis and aging.
- C. elegans is a suitable model for investigating age-related protein aggregation.
- Further research can utilize this method to explore interventions for age-related diseases.

