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Updated: Jul 4, 2026

Behavioral Phenotyping of Murine Disease Models with the Integrated Behavioral Station (INBEST)
Published on: April 23, 2015
Reliability, robustness, and reproducibility in mouse behavioral phenotyping: a cross-laboratory study.
Silvia Mandillo1, Valter Tucci, Sabine M Hölter
1Gesellschaft für Strahlenforschungdagger-National Research Center for Environment and Health, Institute of Developmental Genetics, Neuherberg, Germany.
Standard operating procedures (SOPs) for mouse behavioral phenotyping were tested across five European labs. While some tests showed reproducibility, uncontrolled variables require further refinement for robust, large-scale functional genomics.
Area of Science:
- Neuroscience
- Genomics
- Animal Behavior
Background:
- Standardized behavioral phenotyping is crucial for mouse functional genomics.
- Reproducibility across laboratories and time is essential for reliable data.
Purpose of the Study:
- To devise and validate a set of standard operating procedures (SOPs) for mouse behavioral analysis.
- To assess the robustness and reproducibility of these SOPs in a multicenter setting.
Main Methods:
- Development and cross-validation of SOPs for behavioral tests.
- Testing across five research centers in Europe.
- Analysis of four common inbred mouse strains (C57BL/6J, C3HeB/FeJ, BALB/cByJ, 129S2/SvPas).
- Utilized tests including open field, SHIRPA, grip strength, rotarod, Y-maze, prepulse inhibition of acoustic startle response, and tail flick.
Main Results:
- The developed SOPs generated reproducible results for several behavioral test parameters across laboratories.
- Identified uncontrolled variables that act as confounding factors in behavioral phenotyping.
- Demonstrated the feasibility of multicenter validation of behavioral assays.
Conclusions:
- The EUMORPHIA SOPs represent a significant step towards standardized mouse behavioral phenotyping.
- Further refinement is needed to address uncontrolled variables and enhance robustness for large-scale programs.
- These SOPs provide a foundation for developing more reliable phenotyping platforms.
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