High-throughput automated phenotyping of two genetic mouse models of huntington's disease
| Autor: | Liliana B. Menalled, Fuat Balcı, Stephen Oakeshott, Dani Brunner, David Howland, Jul Lea Shamy, David A. Connor, Russell G. Port, Sylvie Ramboz, Bassem F. El-Khodor, Ahmad Paintdakhi, Seung Kwak, Richard Mushlin, Igor Filippov |
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| Přispěvatelé: | Balcı, Fuat (ORCID 0000-0003-3390-9352 & YÖK ID 51269), Oakeshott, Stephen, Shamy, Jul Lea T, El-Khodor, Bassem Fouad, Filippov, Igor V., Mushlin, Richard A., Port, Russell G., Connor, David, Paintdakhi, Ahmad, Menalled, Liliana B., Ramboz, Sylvie, Howland, David S., Kwak, Seung, Brunner, Dani, College of Social Sciences and Humanities, Department of Psychology |
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Drug discovery
Neurodegeneration Medicine (miscellaneous) Throughput Disease Biology medicine.disease Bioinformatics Locomotor activity Huntington's disease medicine Motor activity Animal experiment Animal model Article Behavior Controlled study Female Genotype Habituation High throughput sequencing Huntington chorea Licking Light dark cycle Light intensity Locomotion Motor performance Mouse Nerve degeneration Nonhuman Phenotype Polymerase chain reaction Reversal reaction Scoring system Neuroscience Medicine Circadian rhythm Cognition Primary screening HD Models |
| Zdroj: | PLOS Currents PLoS Currents |
| Popis: | Phenotyping with traditional behavioral assays constitutes a major bottleneck in the primary screening, characterization, and validation of genetic mouse modelsof disease, leading to downstream delays in drug discovery efforts. We present a novel and comprehensive one-stop approach to phenotyping, the PhenoCube™. This system simultaneously captures the cognitive performance, motor activity, and circadian patterns of group-housed mice by use of home-cage operant conditioning modules (IntelliCage) and custom-built computer vision software. We evaluated two different mouse models of Huntington's Disease (HD), the R6/2 and the BACHD in the PhenoCube™ system. Our results demonstrated that this system can efficiently capture and track alterations in both cognitive performance and locomotor activity patterns associated with these disease models. This work extends our prior demonstration that PhenoCube™ can characterize circadian dysfunction in BACHD mice and shows that this system, with the experimental protocols used, is a sensitive and efficient tool for a first pass high-throughput screening of mouse disease models in general and mouse models of neurodegeneration in particular NA |
| Databáze: | OpenAIRE |
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