Achim Kramer

The paper shows that glucocorticoid receptor signaling resets circadian rhythms through post-transcriptional mechanisms, not transcriptional activation.

The paper infers circadian phase from blood biomarkers in UK Biobank using machine learning and defines a new construct, circadian acceleration, with genetic and environmental associations.

This paper introduces a lentiviral fluorescent reporter for studying circadian rhythms in single cells, enabling the measurement of circadian dynamics parameters like phase and period.

This study shows that extracellular circadian communication coordinates the circadian clock and cell cycle, and its disruption impairs tissue growth and links circadian disruption to oncogenic processes.

HairTime estimates chronotype from a single hair sample, showing it is influenced by age, sex, and work schedules, with lower circadian amplitude reducing prediction accuracy.

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 investigates how circadian period compensates for fluctuations in repressor protein turnover rates in single cells using fluorescently labeled proteins and mathematical modeling.

The paper examines circadian gene expression in microglia across health and Huntington's disease, finding disrupted rhythms in symptomatic mice.

The paper identifies novel E-box interactors using proximity labeling proteomics in mouse fibroblasts, revealing proteins involved in circadian transcription regulation.

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 uses a Smg6 mouse model to show that NMD pathway downregulation affects circadian period length and daily CRY2 mRNA accumulation.

This study examines circadian gene expression variability in human skin layers and identifies layer-specific biomarkers for internal clock phase.

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

The paper shows that Venn Diagram analysis overestimates differentially rhythmic transcripts and introduces an R-package to improve accuracy in circadian rhythm studies.

The paper develops a computational model to explain mitochondrial Prx/Srx redox oscillations in mammalian tissues, showing that delayed feedback and switches generate robust 24-hour rhythms.

The paper identifies tissue-specific circadian feedback loops by fitting mathematical models to gene expression data from different mammalian tissues.