Back to Search
Start Over
The Replica Set Method: A High-throughput Approach to Quantitatively Measure Caenorhabditis elegans Lifespan
- Source :
- Journal of Visualized Experiments.
- Publication Year :
- 2018
- Publisher :
- MyJove Corporation, 2018.
-
Abstract
- The Replica Set method is an approach to quantitatively measure lifespan or survival of Caenorhabditis elegans nematodes in a high-throughput manner, thus allowing a single investigator to screen more treatments or conditions over the same amount of time without loss of data quality. The method requires common equipment found in most laboratories working with C. elegans and is thus simple to adopt. The approach centers on assaying independent samples of a population at each observation point, rather than a single sample over time as with traditional longitudinal methods. Scoring entails adding liquid to the wells of a multi-well plate, which stimulates C. elegans to move and facilitates quantifying changes in healthspan. Other major benefits of the Replica Set method include reduced exposure of agar surfaces to airborne contaminants (e.g. mold or fungus), minimal handling of animals, and robustness to sporadic mis-scoring (such as calling an animal as dead when it is still alive). To appropriately analyze and visualize the data from a Replica Set style experiment, a custom software tool was also developed. Current capabilities of the software include plotting of survival curves for both Replica Set and traditional (Kaplan-Meier) experiments, as well as statistical analysis for Replica Set. The protocols provided here describe the traditional experimental approach and the Replica Set method, as well as an overview of the corresponding data analysis.
- Subjects :
- 0301 basic medicine
education.field_of_study
animal structures
General Immunology and Microbiology
business.industry
Computer science
General Chemical Engineering
General Neuroscience
Replica
Population
computer.software_genre
Measure (mathematics)
General Biochemistry, Genetics and Molecular Biology
Set (abstract data type)
03 medical and health sciences
030104 developmental biology
Software
Robustness (computer science)
Custom software
Data mining
business
education
Throughput (business)
computer
Subjects
Details
- ISSN :
- 1940087X
- Database :
- OpenAIRE
- Journal :
- Journal of Visualized Experiments
- Accession number :
- edsair.doi.dedup.....44308b411c66046ed0effb747ac0a838
- Full Text :
- https://doi.org/10.3791/57819