Christoph Schmal

This study identifies circadian clock subtypes in breast cancer and shows their impact on drug sensitivity.

This study identifies optimal drug treatment times by analyzing circadian rhythms and drug responses in cancer cells using high-throughput deep phenotyping.

The paper defines and analyzes two types of amplitude-period correlations in circadian rhythms and shows their impact on oscillator-environment interactions.

This study shows coupling enables robust circadian rhythms in redox oscillators despite noise and heterogeneity.

This study investigates how temperature cycles affect circadian rhythms in Neurospora crassa, showing complex dynamics including entrainment, period-doubling, and aperiodic behavior through mathematical modeling.

The paper identifies posttranscriptional mechanisms, specifically involving CPSF6 and EIF2S1, that underlie circadian temperature compensation in U-2 OS cells.

A stand-alone Python application with a graphical interface that detrends, removes amplitude envelopes and runs continuous wavelet analysis on noisy, non-stationary biological rhythms.

The paper develops conceptual models of circadian entrainment using global optimization to explain phenotypic features like phase response curves and seasonal variability.

The paper shows that minimal clock models can reproduce essential circadian phenotypes like fast jetlag and seasonal shifts through amplitude effects and twist mechanisms.

The paper shows that weak coupling between feedback loops in circadian clocks leads to dissociated gene expression dynamics at the single-cell level.