Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pone.0016637
DC FieldValue
dc.titleRunning worms: C. elegans self-sorting by electrotaxis
dc.contributor.authorManière X.
dc.contributor.authorLebois F.
dc.contributor.authorMatic I.
dc.contributor.authorLadoux B.
dc.contributor.authorDi Meglio J.-M.
dc.contributor.authorHersen P.
dc.date.accessioned2019-11-07T07:56:20Z
dc.date.available2019-11-07T07:56:20Z
dc.date.issued2011
dc.identifier.citationManière X., Lebois F., Matic I., Ladoux B., Di Meglio J.-M., Hersen P. (2011). Running worms: C. elegans self-sorting by electrotaxis. PLoS ONE 6 (2) : e16637. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0016637
dc.identifier.issn19326203
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/161787
dc.description.abstractThe nematode C. elegans displays complex dynamical behaviors that are commonly used to identify relevant phenotypes. Although its maintenance is straightforward, sorting large populations of worms when looking for a behavioral phenotype is difficult, time consuming and hardly quantitative when done manually. Interestingly, when submitted to a moderate electric field, worms move steadily along straight trajectories. Here, we report an inexpensive method to measure worms crawling velocities and sort them within a few minutes by taking advantage of their electrotactic skills. This method allows to quantitatively measure the effect of mutations and aging on worm's crawling velocity. We also show that worms with different locomotory phenotypes can be spatially sorted, fast worms traveling away from slow ones. Group of nematodes with comparable locomotory fitness could then be isolated for further analysis. C. elegans is a growing model for neurodegenerative diseases and using electrotaxis for self-sorting can improve the high-throughput search of therapeutic bio-molecules. © 2011 Manière et al.
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20191101
dc.subjectaging
dc.subjectanalytic method
dc.subjectarticle
dc.subjectCaenorhabditis elegans
dc.subjectcomparative study
dc.subjectcontrolled study
dc.subjectelectric field
dc.subjectelectrophoresis
dc.subjectelectrotaxis
dc.subjectfitness
dc.subjectgene mutation
dc.subjecthigh throughput screening
dc.subjectimage analysis
dc.subjectlocomotion
dc.subjectmethodology
dc.subjectnonhuman
dc.subjectphenotype
dc.subjectquantitative analysis
dc.subjectsimulation
dc.subjectvelocity
dc.subjectacceleration
dc.subjectanimal
dc.subjectanimal behavior
dc.subjectbiological model
dc.subjectelectrostimulation
dc.subjectescape behavior
dc.subjectevaluation
dc.subjectgenetics
dc.subjecthigh throughput screening
dc.subjectlocomotion
dc.subjectmotor performance
dc.subjectphysiology
dc.subjectrunning
dc.subjecttransgenic animal
dc.subjectvalidation study
dc.subjectCaenorhabditis elegans
dc.subjectNematoda
dc.subjectAcceleration
dc.subjectAging
dc.subjectAnimals
dc.subjectAnimals, Genetically Modified
dc.subjectBehavior, Animal
dc.subjectCaenorhabditis elegans
dc.subjectElectric Stimulation
dc.subjectEscape Reaction
dc.subjectHigh-Throughput Screening Assays
dc.subjectLocomotion
dc.subjectModels, Biological
dc.subjectMotor Skills
dc.subjectRunning
dc.typeArticle
dc.contributor.departmentBIOLOGY (NU)
dc.description.doi10.1371/journal.pone.0016637
dc.description.sourcetitlePLoS ONE
dc.description.volume6
dc.description.issue2
dc.description.pagee16637
Appears in Collections:Elements
Staff Publications

Show simple item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
10_1371_journal_pone_0016637.pdf923.03 kBAdobe PDF

OPEN

NoneView/Download

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons