Literature DB >> 18688666

Strategies for automated analysis of C. elegans locomotion.

Steven D Buckingham1, David B Sattelle.   

Abstract

Automated analysis of C. elegans behaviour is a rapidly developing field, offering the possibility of behaviour-based, high-throughput drug screens and systematic phenotyping. Standard methods for parameterizing worm shapes and movements are emerging, and progress has been made towards overcoming the difficulties introduced by interactions between worms, as well as worm coiling and omega turning. Current methods have facilitated the identification of subtle phenotypes and the characterisation of roles of neurones in forward locomotion and chemotaxis, as well as the quantitative characterisation of behaviour choice and circadian patterns of activity. Given the speed with which C. elegans has been deployed in genetic screens and chemical screens, it is to be hoped that wormtrackers may eventually provide similar rapidity in assaying behavioural phenotypes. However, considerable progress must be made before this can be accomplished. In the case of genome-wide RNAi screens, for example, the presence in the worm genome of some 19,000 genes means that even the minimal user intervention in an automatic phenotyping system will be very costly. Nonetheless, recent advances have shown that drug actions on large numbers of worms can be tracked, raising hopes that high-throughput behavioural screens may soon be available.

Entities:  

Mesh:

Year:  2008        PMID: 18688666     DOI: 10.1007/s10158-008-0077-3

Source DB:  PubMed          Journal:  Invert Neurosci        ISSN: 1354-2516


  43 in total

1.  One GABA and two acetylcholine receptors function at the C. elegans neuromuscular junction.

Authors:  J E Richmond; E M Jorgensen
Journal:  Nat Neurosci       Date:  1999-09       Impact factor: 24.884

2.  Light activation of channelrhodopsin-2 in excitable cells of Caenorhabditis elegans triggers rapid behavioral responses.

Authors:  Georg Nagel; Martin Brauner; Jana F Liewald; Nona Adeishvili; Ernst Bamberg; Alexander Gottschalk
Journal:  Curr Biol       Date:  2005-12-20       Impact factor: 10.834

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

Authors:  Sergio H Simonetta; Diego A Golombek
Journal:  J Neurosci Methods       Date:  2007-01-04       Impact factor: 2.390

4.  Multimodal fast optical interrogation of neural circuitry.

Authors:  Feng Zhang; Li-Ping Wang; Martin Brauner; Jana F Liewald; Kenneth Kay; Natalie Watzke; Phillip G Wood; Ernst Bamberg; Georg Nagel; Alexander Gottschalk; Karl Deisseroth
Journal:  Nature       Date:  2007-04-05       Impact factor: 49.962

5.  Durations and frequencies of free locomotion in wild type and GABAergic mutants of Caenorhabditis elegans.

Authors:  R Shingai
Journal:  Neurosci Res       Date:  2000-09       Impact factor: 3.304

6.  Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans.

Authors:  A Fire; S Xu; M K Montgomery; S A Kostas; S E Driver; C C Mello
Journal:  Nature       Date:  1998-02-19       Impact factor: 49.962

7.  The Caenorhabditis elegans orthologue of the human gene responsible for spinal muscular atrophy is a maternal product critical for germline maturation and embryonic viability.

Authors:  I Miguel-Aliaga; E Culetto; D S Walker; H A Baylis; D B Sattelle; K E Davies
Journal:  Hum Mol Genet       Date:  1999-11       Impact factor: 6.150

Review 8.  Neuronal substrates of complex behaviors in C. elegans.

Authors:  Mario de Bono; Andres Villu Maricq
Journal:  Annu Rev Neurosci       Date:  2005       Impact factor: 12.449

9.  Quantitative classification and natural clustering of Caenorhabditis elegans behavioral phenotypes.

Authors:  Wei Geng; Pamela Cosman; Joong-Hwan Baek; Charles C Berry; William R Schafer
Journal:  Genetics       Date:  2003-11       Impact factor: 4.562

10.  Caenorhabditis elegans in the study of SMN-interacting proteins: a role for SMI-1, an orthologue of human Gemin2 and the identification of novel components of the SMN complex.

Authors:  Emma C Burt; Paula R Towers; David B Sattelle
Journal:  Invert Neurosci       Date:  2006-09-09
View more
  20 in total

1.  A microfluidic device for whole-animal drug screening using electrophysiological measures in the nematode C. elegans.

Authors:  Shawn R Lockery; S Elizabeth Hulme; William M Roberts; Kristin J Robinson; Anna Laromaine; Theodore H Lindsay; George M Whitesides; Janis C Weeks
Journal:  Lab Chip       Date:  2012-05-15       Impact factor: 6.799

Review 2.  How do the macrocyclic lactones kill filarial nematode larvae?

Authors:  Adrian J Wolstenholme; Mary J Maclean; Ruby Coates; Ciaran J McCoy; Barbara J Reaves
Journal:  Invert Neurosci       Date:  2016-06-09

3.  Alzheimer's Disease Drug Discovery: In-vivo screening using C. elegans as a model for β-amyloid peptide-induced toxicity.

Authors:  Al Lublin; Cd Link
Journal:  Drug Discov Today Technol       Date:  2013

4.  Multiparameter behavioral analyses provide insights to mechanisms of cyanide resistance in Caenorhabditis elegans.

Authors:  Jenifer N Saldanha; Archana Parashar; Santosh Pandey; Jo Anne Powell-Coffman
Journal:  Toxicol Sci       Date:  2013-06-26       Impact factor: 4.849

Review 5.  High-throughput screening and small animal models, where are we?

Authors:  Jean Giacomotto; Laurent Ségalat
Journal:  Br J Pharmacol       Date:  2010-05       Impact factor: 8.739

6.  Multi-environment model estimation for motility analysis of Caenorhabditis elegans.

Authors:  Raphael Sznitman; Manaswi Gupta; Gregory D Hager; Paulo E Arratia; Josué Sznitman
Journal:  PLoS One       Date:  2010-07-22       Impact factor: 3.240

7.  Quantification and analysis of ecdysis in the hornworm, Manduca sexta, using machine vision-based tracking.

Authors:  Alan Shimoide; Ian Kimball; Alba A Gutierrez; Hendra Lim; Ilmi Yoon; John T Birmingham; Rahul Singh; Megumi Fuse
Journal:  Invert Neurosci       Date:  2012-09-25

8.  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

9.  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

10.  AutoEPG: software for the analysis of electrical activity in the microcircuit underpinning feeding behaviour of Caenorhabditis elegans.

Authors:  James Dillon; Ioannis Andrianakis; Kate Bull; Steve Glautier; Vincent O'Connor; Lindy Holden-Dye; Christopher James
Journal:  PLoS One       Date:  2009-12-29       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.