Show simple item record

dc.contributor.authorPerni, Michele
dc.contributor.authorCasford, Sam
dc.contributor.authorAprile, Francesco
dc.contributor.authorNollen, Ellen A
dc.contributor.authorKnowles, Tuomas
dc.contributor.authorVendruscolo, Michele
dc.contributor.authorDobson, Christopher
dc.date.accessioned2018-12-22T00:30:09Z
dc.date.available2018-12-22T00:30:09Z
dc.date.issued2018-11-28
dc.identifier.issn1940-087X
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/287358
dc.description.abstractCaenorhabditis elegans is a well-established animal model in biomedical research, widely employed in functional genomics and ageing studies. To assess the health and fitness of the animals under study, one typically relies on motility readouts, such as the measurement of the number of body bends or the speed of movement. These measurements usually involve manual counting, making it challenging to obtain good statistical significance, as time and labor constraints often limit the number of animals in each experiment to 25 or less. Since high statistical power is necessary to obtain reproducible results and limit false positive and negative results when weak phenotypic effects are investigated, efforts have recently been made to develop automated protocols focused on increasing the sensitivity of motility detection and multi-parametric behavioral profiling. In order to extend the limit of detection to the level needed to capture the small phenotypic changes that are often crucial in genetic studies and drug discovery, we describe here a technological development that enables the study of up to 5,000 individual animals simultaneously, increasing the statistical power of the measurements by about 1,000-fold compared to manual assays and about 100-fold compared to other available automated methods.
dc.description.sponsorshipThis work was supported by the Centre for Misfolding Diseases (CMD). FAA is supported by a Senior Research Fellowship award from the Alzheimer's Society, UK (Grant Number 317, AS-SF-16-003). The C. elegans strains were obtained from the Caenorhabditis elegans Genetic Centre (CGC).
dc.format.mediumElectronic
dc.languageeng
dc.publisherMyJove Corporation
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectAnimals
dc.subjectCaenorhabditis elegans
dc.subjectBiological Assay
dc.subjectBehavior, Animal
dc.subjectVideo Recording
dc.titleAutomated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform.
dc.typeArticle
prism.issueIdentifier141
prism.publicationDate2018
prism.publicationNameJ Vis Exp
dc.identifier.doi10.17863/CAM.34662
rioxxterms.versionofrecord10.3791/58643
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-11-28
dc.contributor.orcidPerni, Michele [0000-0001-7593-8376]
dc.contributor.orcidAprile, Francesco [0000-0002-5040-4420]
dc.contributor.orcidKnowles, Tuomas [0000-0002-7879-0140]
dc.contributor.orcidVendruscolo, Michele [0000-0002-3616-1610]
dc.identifier.eissn1940-087X
rioxxterms.typeJournal Article/Review
pubs.funder-project-idAlzheimer's Society (317 (AS-SF-16-003))
cam.issuedOnline2018-11-28


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International