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Biology subjects

Ector, C.

Publications and source records attributed to Ector, C..

2 recordsLinked to original sources

Circadian Coupling Orchestrates Cell Growth

Single-cell circadian oscillators exchange extracellular information to sustain coherent circadian rhythms at the tissue level. Within cells, the circadian clock and the cell cycle couple, yet the mechanisms governing this interplay remain poorly elucidated. Here, we study the role of extracellular circadian communication in the intracellular coordination between the circadian clock and the cell cycle. We demonstrate that the loss of extracellular circadian synchronization disrupts circadian and cell cycle coordination within individual cells, impeding collective tissue growth. Coherent circadian rhythms yield oscillatory growth patterns, unveiling a global timing regulator of tissue dynamics. Knocking down core circadian elements abolishes observed effects, highlighting the central role of circadian clock regulation. Our research underscores the significance of tissue-level circadian disruption in regulating proliferation, thereby linking disrupted circadian clocks with oncogenic processes. These findings illuminate the intricate interplay between circadian rhythms, cellular signaling, and tissue physiology, enhancing our understanding of tissue homeostasis and growth regulation in both health and disease contexts.

cell biology↗

Time-of-day effects of drugs revealed by high-throughput deep phenotyping

The circadian clock, a fundamental biological regulator, governs essential cellular processes in health and disease. Circadian-based therapeutic strategies are increasingly gaining recognition as promising avenues. Aligning drug administration with the circadian rhythm can enhance treatment efficacy and minimize side effects. Yet, uncovering the optimal treatment timings remains challenging, limiting their widespread adoption. In this work, we introduce a novel high-throughput approach integrating live-imaging and data analysis techniques to deep-phenotype cancer cell models, evaluating their circadian rhythms, growth, and drug responses. We devised a streamlined process for profiling drug sensitivities across different times of the day, identifying optimal treatment windows and responsive cell types and drug combinations. Finally, we implement multiple computational tools to uncover cellular and genetic factors shaping time-of-day drug sensitivity. Our versatile approach is adaptable to various biological models, facilitating its broad application and relevance. Ultimately, this research leverages circadian rhythms to optimize anti-cancer drug treatments, promising improved outcomes and transformative treatment strategies.

cancer biology↗