Literature DB >> 17207862

An automated tracking system for Caenorhabditis elegans locomotor behavior and circadian studies application.

Sergio H Simonetta1, Diego A Golombek.   

Abstract

Automation of simple behavioral patterns, such as locomotor activity, is fundamental for pharmacological and genetic screening studies. Recently, circadian behaviors in locomotor activity and stress responses were reported in the nematode Caenorhabditis elegans, a well-known model in genetics and developmental studies. Here we present a new method for long-term recordings of C. elegans (as well as other similar-sized animals) locomotor activity based on an infrared microbeam scattering. Individual nematodes were cultured in a 96-well microtiter plate; we tested L15, CeMM and E. coli liquid cultures in long-term activity tracking experiments, and found CeMM to be the optimal medium. Treatment with 0.2% azide caused an immediate decrease in locomotor activity as recorded with our system. In addition to the validation of the method (including hardware and software details), we report its application in chronobiological studies. Circadian rhythms in animals entrained to light-dark and constant dark conditions (n=48 and 96 worms, respectively) at 16 degrees C, were analyzed by LS periodograms. We obtained a 24.2+/-0.44 h period (52% of significantly rhythmic animals) in LD, and a 23.1+/-0.40 h period (37.5% of significantly rhythmic animals) under DD. The system is automateable using microcontrollers, of low-cost construction and highly reproducible.

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Year:  2007        PMID: 17207862     DOI: 10.1016/j.jneumeth.2006.11.015

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  41 in total

Review 1.  Strategies for automated analysis of C. elegans locomotion.

Authors:  Steven D Buckingham; David B Sattelle
Journal:  Invert Neurosci       Date:  2008-08-08

2.  A microfluidic platform for high-sensitivity, real-time drug screening on C. elegans and parasitic nematodes.

Authors:  John A Carr; Archana Parashar; Richard Gibson; Alan P Robertson; Richard J Martin; Santosh Pandey
Journal:  Lab Chip       Date:  2011-06-06       Impact factor: 6.799

3.  The Novel Small Molecule TRVA242 Stabilizes Neuromuscular Junction Defects in Multiple Animal Models of Amyotrophic Lateral Sclerosis.

Authors:  Poulomee Bose; Elsa Tremblay; Claudia Maois; Vijay Narasimhan; Gary A B Armstrong; Meijiang Liao; J Alex Parker; Richard Robitaille; Xiao Yan Wen; Christopher Barden; Pierre Drapeau
Journal:  Neurotherapeutics       Date:  2019-10       Impact factor: 7.620

4.  Profiling a Caenorhabditis elegans behavioral parametric dataset with a supervised K-means clustering algorithm identifies genetic networks regulating locomotion.

Authors:  Shijie Zhang; Wei Jin; Ying Huang; Wei Su; Jiong Yang; Zhaoyang Feng
Journal:  J Neurosci Methods       Date:  2011-03-03       Impact factor: 2.390

5.  Long-term imaging of circadian locomotor rhythms of a freely crawling C. elegans population.

Authors:  Ari Winbush; Matthew Gruner; Grant W Hennig; Alexander M van der Linden
Journal:  J Neurosci Methods       Date:  2015-04-22       Impact factor: 2.390

6.  Micro-electro-fluidic grids for nematodes: a lens-less, image-sensor-less approach for on-chip tracking of nematode locomotion.

Authors:  Peng Liu; Richard J Martin; Liang Dong
Journal:  Lab Chip       Date:  2013-02-21       Impact factor: 6.799

Review 7.  High-throughput screening in the C. elegans nervous system.

Authors:  Holly E Kinser; Zachary Pincus
Journal:  Mol Cell Neurosci       Date:  2016-06-03       Impact factor: 4.314

8.  Valproic acid is protective in cellular and worm models of oculopharyngeal muscular dystrophy.

Authors:  Aida Abu-Baker; Alex Parker; Siriram Ramalingam; Janet Laganiere; Bernard Brais; Christian Neri; Patrick Dion; Guy Rouleau
Journal:  Neurology       Date:  2018-07-13       Impact factor: 9.910

9.  Fast, automated measurement of nematode swimming (thrashing) without morphometry.

Authors:  Steven D Buckingham; David B Sattelle
Journal:  BMC Neurosci       Date:  2009-07-20       Impact factor: 3.288

10.  Timing of locomotor activity circadian rhythms in Caenorhabditis elegans.

Authors:  Sergio H Simonetta; María Laura Migliori; Andrés Romanowski; Diego A Golombek
Journal:  PLoS One       Date:  2009-10-27       Impact factor: 3.240

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