Analysis of locomotor behavior in the German Mouse Clinic
Send a publication request

Publication request

Thank you for your interest in our product range and your request for this publication, which will be sent to you if the research team and the journal allow it. Our commercial team will contact you as soon as possible.

A. Zimprich, M.A. Östereicher, L. Becker, P. Dirscherl, L. Ernst, H. Fuchs, V. Gailus-Durner, L, Garrett, F. Giesert, L. Glasl, A. Hummel, J. Rozman, M. Hrabeˇ de Angelis, D. Vogt-Weisenhorn, W. Wurst, S.M. Hölterb,

Institute of Developmental Genetics, Helmholtz Zentrum München, Neuherberg, Germany

Journal of Neuroscience Methods

Background: Generation and phenotyping of mutant mouse models continues to increase along with the search for the most efficient phenotyping tests. Here we asked if a combination of different locomotor tests is necessary for comprehensive locomotor phenotyping, or if a large data set from an automated gait analysis with the CatWalk system would suffice.
New method: First we endeavored to meaningfully reduce the large CatWalk data set by Principal Com-ponent Analysis (PCA) to decide on the most relevant parameters. We analyzed the influence of sex, body weight, genetic background and age. Then a combination of different locomotor tests was analyzed to investigate the possibility of redundancy between tests.
Result: The extracted 10 components describe 80% of the total variance in the CatWalk, characterizing different aspects of gait. With these, effects of CatWalk version, sex, body weight, age and genetic back-ground were detected. In addition, the PCA on a combination of locomotor tests suggests that these are independent without significant redundancy in their locomotor measures.
Comparison with existing methods: The PCA has permitted the refinement of the highly dimensional Cat- Walk (and other tests) data set for the extraction of individual component scores and subsequent analysis.

BIOSEB Instruments Used:
Aron Test or Four Plates Test (LE830),Grip strength test (BIO-GS3),Rotarod (BX-ROD)

Share this content