PhenoMaster - Automated Home Cage Phenotyping

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PhenoMaster

Automated Home Cage Phenotyping

 

  • Characterization of experimental animals under controlled conditions in the home cage

  • Elimination of human bias

  • Standardization of the environment

  • Broad spectrum of available parameters

  • High quality and reproducibility of data

  • High throughput phenotyping by running large number of cages in parallel

 

Three disciplines combined in the home cage: metabolic, behavioral and physiological data are captured in high resolution and complete synchrony.

 

Metabolism

  • Indirect Gas Calorimetry (CaloSys) for PULL (standard) or PUSH mode
  • Microbiome activity Monitoring (MicrobSys) by sensors for H2, CH4, VOCs, 13C
  • Climate Chamber (temperature, humidity, light controlled environment)
  • Feeding & Drinking (analysis and access control by time/duration/amount/frequency)
  • Body weight monitoring (measurement and control of running wheel and food access)

 

Behavior and Cognition

  • Activity Modules (IR light beams recognizing locomotor activity)
  • Exercise Modules (home cage running wheel for voluntary or restricted running analysis)
  • Learning & Memory (integrated operant wall, various stimuli/response elements)

 

Physiology

  • Implantable Telemetry: Stellar (detailed monitoring of blood pressure, EEG, ECG, EMG, body temperature and activity).

 

The system is made to be flexibly adjusted to your specific research field and will be customized to your specific research needs, while still allowing you the flexibility to add additional modules if your research focus changes. To choose the most efficient setup, please contact our experts to discuss your specific needs.

Selected Publicatons:

Fernández-Calleja J., Konstanti P., Swarts H., Bouwman L., Garcia-Campayo V., Billecke N., Oosting A., Smidt H., Keijer J. & van Schothorst, E. .
Non-invasive continuous real-time in vivoanalysis of microbial hydrogen production shows adaptation to fermentable carbohydrates in mice
Scientific REPORTS 2018 8:15351 | DOI:10.1038/s41598-018-33619-0
https://www.nature.com/articles/s41598-018-33619-0.pdf

Stubblefield JJ, Gao P, Kilaru G, Mukadam B, Terrien J, Green CB.
Temporal Control of Metabolic Amplitude by Nocturnin.
Cell Rep. 2018 Jan 30;22(5):1225-1235.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5815321/

Bruschetta G, Jin S, Kim JD, Diano S.
Prolyl carboxypeptidase in Agouti-related Peptide neurons modulates food intake and body weight.
Mol Metab. 2018 Feb 8. pii: S2212-8778(18)30004-8
https://www.sciencedirect.com/science/article/pii/S2212877818300048