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Automated Analysis of C. elegans Swim Behavior Using CeleST Software
Dissecting the neuronal and neuromuscular circuits that regulate behavior remains a major challenge in biology. The nematode Caenorhabditis elegans has proven to be an invaluable model organism in helping to tackle this challenge, from inspiring technological approaches, building the human brain con...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MyJove Corporation
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5226367/ https://www.ncbi.nlm.nih.gov/pubmed/28060275 http://dx.doi.org/10.3791/54359 |
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author | Ibáñez-Ventoso, Carolina Herrera, Christopher Chen, Esteban Motto, Douglas Driscoll, Monica |
author_facet | Ibáñez-Ventoso, Carolina Herrera, Christopher Chen, Esteban Motto, Douglas Driscoll, Monica |
author_sort | Ibáñez-Ventoso, Carolina |
collection | PubMed |
description | Dissecting the neuronal and neuromuscular circuits that regulate behavior remains a major challenge in biology. The nematode Caenorhabditis elegans has proven to be an invaluable model organism in helping to tackle this challenge, from inspiring technological approaches, building the human brain connectome, to actually shedding light on the specific molecular drivers of basic functional patterns. The bulk of the behavioral studies in C. elegans have been performed on solid substrates. In liquid, animals exhibit behavioral patterns that include movement at a range of speeds in 3D, as well as partial body movements, such as a posterior curl without anterior shape change, which introduce new challenges for quantitation. The steps of a simple procedure, and use of a software that enables high-resolution analysis of C. elegans swim behavior, are presented here. The software, named CeleST, uses a specialized computer program that tracks multiple animals simultaneously and provides novel measures of C. elegans locomotion in liquid (swimming). The measures are mostly grounded in animal posture and based on mathematics used in computer vision and pattern recognition, without computational requirements for threshold cut-offs. The software tool can be used to both assess overall swimming prowess in hundreds of animals from combined small batch trials and to reveal novel phenotypes even in well-characterized genetic mutants. The preparation of specimens for analysis with CeleST is simple and low-tech, enabling wide adaptation by the scientific community. Use of the computational approach described here should therefore contribute to the greater understanding of behavior and behavioral circuits in the C. elegans model. |
format | Online Article Text |
id | pubmed-5226367 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MyJove Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-52263672017-01-26 Automated Analysis of C. elegans Swim Behavior Using CeleST Software Ibáñez-Ventoso, Carolina Herrera, Christopher Chen, Esteban Motto, Douglas Driscoll, Monica J Vis Exp Neuroscience Dissecting the neuronal and neuromuscular circuits that regulate behavior remains a major challenge in biology. The nematode Caenorhabditis elegans has proven to be an invaluable model organism in helping to tackle this challenge, from inspiring technological approaches, building the human brain connectome, to actually shedding light on the specific molecular drivers of basic functional patterns. The bulk of the behavioral studies in C. elegans have been performed on solid substrates. In liquid, animals exhibit behavioral patterns that include movement at a range of speeds in 3D, as well as partial body movements, such as a posterior curl without anterior shape change, which introduce new challenges for quantitation. The steps of a simple procedure, and use of a software that enables high-resolution analysis of C. elegans swim behavior, are presented here. The software, named CeleST, uses a specialized computer program that tracks multiple animals simultaneously and provides novel measures of C. elegans locomotion in liquid (swimming). The measures are mostly grounded in animal posture and based on mathematics used in computer vision and pattern recognition, without computational requirements for threshold cut-offs. The software tool can be used to both assess overall swimming prowess in hundreds of animals from combined small batch trials and to reveal novel phenotypes even in well-characterized genetic mutants. The preparation of specimens for analysis with CeleST is simple and low-tech, enabling wide adaptation by the scientific community. Use of the computational approach described here should therefore contribute to the greater understanding of behavior and behavioral circuits in the C. elegans model. MyJove Corporation 2016-12-07 /pmc/articles/PMC5226367/ /pubmed/28060275 http://dx.doi.org/10.3791/54359 Text en Copyright © 2016, Journal of Visualized Experiments http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visithttp://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Neuroscience Ibáñez-Ventoso, Carolina Herrera, Christopher Chen, Esteban Motto, Douglas Driscoll, Monica Automated Analysis of C. elegans Swim Behavior Using CeleST Software |
title | Automated Analysis of C. elegans Swim Behavior Using CeleST Software |
title_full | Automated Analysis of C. elegans Swim Behavior Using CeleST Software |
title_fullStr | Automated Analysis of C. elegans Swim Behavior Using CeleST Software |
title_full_unstemmed | Automated Analysis of C. elegans Swim Behavior Using CeleST Software |
title_short | Automated Analysis of C. elegans Swim Behavior Using CeleST Software |
title_sort | automated analysis of c. elegans swim behavior using celest software |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5226367/ https://www.ncbi.nlm.nih.gov/pubmed/28060275 http://dx.doi.org/10.3791/54359 |
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