Assessing mouse behaviour throughout the light/dark cycle using automated in-cage analysis tools.
Assessing mouse behaviour throughout the light/dark cycle using automated in-cage analysis tools.
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DOI:
10.1016/j.jneumeth.2017.04.014
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发表时间:
2018-04-15
影响因子:
3
通讯作者:
Nolan PM
中科院分区:
文献类型:
--
作者:
Bains RS;Wells S;Sillito RR;Armstrong JD;Cater HL;Banks G;Nolan PM
Automated assessment of mouse home-cage behaviour is robust and reliable. Analysis over multiple light/dark cycles improves ability to classify behaviours. Combined RFID and video analysis enables home-cage analysis in group housed animals. 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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影响因子:
4.2
作者:
Banks G;Heise I;Starbuck B;Osborne T;Wisby L;Potter P;Jackson IJ;Foster RG;Peirson SN;Nolan PM
通讯作者:
Nolan PM
影响因子:
14.5
作者:
Chort, Alice;Alves, Sandro;Sittler, Annie
通讯作者:
Sittler, Annie
影响因子:
3
作者:
Bains RS;Cater HL;Sillito RR;Chartsias A;Sneddon D;Concas D;Keskivali-Bond P;Lukins TC;Wells S;Acevedo Arozena A;Nolan PM;Armstrong JD
通讯作者:
Armstrong JD
影响因子:
8.8
作者:
Balzani E;Lassi G;Maggi S;Sethi S;Parsons MJ;Simon M;Nolan PM;Tucci V
通讯作者:
Tucci V
影响因子:
--
作者:
Brown LA;Hasan S;Foster RG;Peirson SN
通讯作者:
Peirson SN