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Tests to assess motor phenotype in mice: a user's guide
Simon P Brooks1, Stephen B Dunnett
1The Brain Repair Group, School of Biosciences, Cardiff University, Museum Avenue, Cardiff, CF10 3AX, South Wales, UK. brookssp@cf.ac.uk
Nature Reviews. Neuroscience
|June 11, 2009
Summary
Choosing the right mouse model is crucial for studying human diseases and testing treatments. This guide helps researchers select appropriate motor tests to assess neurological function in mouse models.
Area of Science:
- Neuroscience
- Translational Medicine
- Animal Models
Background:
- Characterizing mouse models of human disease is vital for understanding pathophysiology and developing therapeutics.
- Multiple mouse models often exist for a single disease, necessitating selection of the most appropriate model.
- Motor tests are valuable for assessing neurological function in mouse models.
Purpose of the Study:
- To provide an overview of available motor tasks for mouse models of human disease.
- To assist researchers in selecting the most suitable motor test for their specific research needs.
- To aid in identifying transgenic phenotypes and evaluating therapeutic interventions.
Main Methods:
- Literature review of established motor tests used in mouse models.
- Categorization of motor tasks based on the aspect of neurological function assessed.
- Discussion of the strengths and limitations of various motor tests.
Main Results:
- Identification of a range of motor tests applicable to different neurological disease models.
- Highlighting the importance of matching motor tests to the specific research question.
- Emphasizing the utility of motor tests in both phenotype characterization and therapeutic assessment.
Conclusions:
- The selection of appropriate motor tests is critical for the accurate characterization of mouse models and the evaluation of therapeutic efficacy.
- Researchers should carefully consider the specific disease, transgenic phenotype, and therapeutic goals when choosing motor tasks.
- This overview serves as a resource to guide researchers in optimizing their experimental design using motor function assessments.

