Accurate locomotor activity profiles of group-housed mice derived from home cage monitoring data
In our work, we derived robust circadian activity profiles from the DVC data of group-housed mice, which were scientifically accurate, reproducible and comparable to another activity measurement. This approach can not only improve animal welfare according to the 3R principles but can also be implement in high-throughput longitudinal studies. Furthermore, we discuss the advantages and limitations of DVC activity measurements to highlight its potential and avoid confounders.
Authors
- Knut Mai (ORCID: https://orcid.org/0000-0003-0126-3155)
- Christian U. Oeing (ORCID: https://orcid.org/0000-0002-0816-4443)
- Rongwan Sun (ORCID: https://orcid.org/0000-0001-7759-3148)
- Sebastian Brachs (ORCID: https://orcid.org/0000-0002-6336-3939)
- Marie-Christin Gaerz
Institutions
- German Centre for Cardiovascular Research (DE)
- Deutsches Diabetes-Zentrum e.V. (DE)
- German Center for Diabetes Research (DE)
- German Institute of Human Nutrition (DE)
- Heinrich Heine University Düsseldorf (DE)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2024-09-20
- DOI
- https://doi.org/10.3389/fnins.2024.1456307
- Citations
- 4
- Primary Topic
- Adipose Tissue and Metabolism
- Type
- article
- Field-Weighted Citation Impact
- 1.31