Computational Discovery Research

Aim: systems biology of metabolic disorders

  • An Atlas of Circadian Metabolism


    As part of a large-scale study, we constructed 24-hour metabolic profiles of mouse tissues and organs under conditions of energy balance and high-fat diet. Our findings provide an overview of how the various metabolic pathways in the body are interconnected and also reveal suitable time frames for anti-obesity therapies.

    Dyar, KA. & Lutter, D. et al. (2018): Atlas of Circadian Metabolism Reveals System-wide Coordination and Communication between Clocks. Cell;


  • Calimera - CALorimetry Improved MEtabolic & Respiratory data Analysis


    We develop a framework to automatically process and analyze multiple features derived from indirect calorimetry data including additional parameters such as physical activity or body weight. We basically use

    splines to estimate underlying metabolic functions for individual parameters. This does not only allow us to apply novel statistical tests to identify differences in circadian oscillations, but also allows for extraction of different features from the data that we can directly compare between individuals, dietary conditions or

    different mouse strains.

  • Astrocyte Single Cell Transcriptomics


    We perform analysis of single cell transcriptomics data employing a variety of tools in order to investigate heterogeneity of astrocytes form hypothalamic region of the brain. Response to different nutrient availability is consider as a may factor of interest, where we aim to identify driving genes and important cell types involved in regulation of systemic glucose homeostasis.