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Assessing mouse behaviour throughout the light/dark cycle using automated in-cage analysis tools

An important factor in reducing variability in mouse test outcomes has been to develop assays that can be used for continuous automated home cage assessment. Our experience has shown that this has been most evidenced in long-term assessment of wheel-running activity in mice. Historically, wheel-runn...

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Autores principales: Bains, Rasneer S., Wells, Sara, Sillito, Rowland R., Armstrong, J. Douglas, Cater, Heather L., Banks, Gareth, Nolan, Patrick M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier/North-Holland Biomedical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5909039/
https://www.ncbi.nlm.nih.gov/pubmed/28456660
http://dx.doi.org/10.1016/j.jneumeth.2017.04.014
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author Bains, Rasneer S.
Wells, Sara
Sillito, Rowland R.
Armstrong, J. Douglas
Cater, Heather L.
Banks, Gareth
Nolan, Patrick M.
author_facet Bains, Rasneer S.
Wells, Sara
Sillito, Rowland R.
Armstrong, J. Douglas
Cater, Heather L.
Banks, Gareth
Nolan, Patrick M.
author_sort Bains, Rasneer S.
collection PubMed
description An important factor in reducing variability in mouse test outcomes has been to develop assays that can be used for continuous automated home cage assessment. Our experience has shown that this has been most evidenced in long-term assessment of wheel-running activity in mice. Historically, wheel-running in mice and other rodents have been used as a robust assay to determine, with precision, the inherent period of circadian rhythms in mice. Furthermore, this assay has been instrumental in dissecting the molecular genetic basis of mammalian circadian rhythms. In teasing out the elements of this test that have determined its robustness – automated assessment of an unforced behaviour in the home cage over long time intervals – we and others have been investigating whether similar test apparatus could be used to accurately discriminate differences in distinct behavioural parameters in mice. Firstly, using these systems, we explored behaviours in a number of mouse inbred strains to determine whether we could extract biologically meaningful differences. Secondly, we tested a number of relevant mutant lines to determine how discriminative these parameters were. Our findings show that, when compared to conventional out-of-cage phenotyping, a far deeper understanding of mouse mutant phenotype can be established by monitoring behaviour in the home cage over one or more light:dark cycles.
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spelling pubmed-59090392018-04-23 Assessing mouse behaviour throughout the light/dark cycle using automated in-cage analysis tools Bains, Rasneer S. Wells, Sara Sillito, Rowland R. Armstrong, J. Douglas Cater, Heather L. Banks, Gareth Nolan, Patrick M. J Neurosci Methods Article An important factor in reducing variability in mouse test outcomes has been to develop assays that can be used for continuous automated home cage assessment. Our experience has shown that this has been most evidenced in long-term assessment of wheel-running activity in mice. Historically, wheel-running in mice and other rodents have been used as a robust assay to determine, with precision, the inherent period of circadian rhythms in mice. Furthermore, this assay has been instrumental in dissecting the molecular genetic basis of mammalian circadian rhythms. In teasing out the elements of this test that have determined its robustness – automated assessment of an unforced behaviour in the home cage over long time intervals – we and others have been investigating whether similar test apparatus could be used to accurately discriminate differences in distinct behavioural parameters in mice. Firstly, using these systems, we explored behaviours in a number of mouse inbred strains to determine whether we could extract biologically meaningful differences. Secondly, we tested a number of relevant mutant lines to determine how discriminative these parameters were. Our findings show that, when compared to conventional out-of-cage phenotyping, a far deeper understanding of mouse mutant phenotype can be established by monitoring behaviour in the home cage over one or more light:dark cycles. Elsevier/North-Holland Biomedical Press 2018-04-15 /pmc/articles/PMC5909039/ /pubmed/28456660 http://dx.doi.org/10.1016/j.jneumeth.2017.04.014 Text en © 2017 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bains, Rasneer S.
Wells, Sara
Sillito, Rowland R.
Armstrong, J. Douglas
Cater, Heather L.
Banks, Gareth
Nolan, Patrick M.
Assessing mouse behaviour throughout the light/dark cycle using automated in-cage analysis tools
title Assessing mouse behaviour throughout the light/dark cycle using automated in-cage analysis tools
title_full Assessing mouse behaviour throughout the light/dark cycle using automated in-cage analysis tools
title_fullStr Assessing mouse behaviour throughout the light/dark cycle using automated in-cage analysis tools
title_full_unstemmed Assessing mouse behaviour throughout the light/dark cycle using automated in-cage analysis tools
title_short Assessing mouse behaviour throughout the light/dark cycle using automated in-cage analysis tools
title_sort assessing mouse behaviour throughout the light/dark cycle using automated in-cage analysis tools
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5909039/
https://www.ncbi.nlm.nih.gov/pubmed/28456660
http://dx.doi.org/10.1016/j.jneumeth.2017.04.014
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