Biology subjects

De Landtsheer, S.

Publications and source records attributed to De Landtsheer, S..

3 recordsLinked to original sources

bioRxiv2025

Changes in DNA methylation after trauma processing and meditation in a large group setting of 1.6 years duration (Timeless Wisdom Training)

Psychological trauma is associated with significant alterations of biological functions and is correlated with epigenetic changes specifically of DNA methylation. Trauma therapy is aiming at relieving the impact of trauma and is in initial studies also correlated with changes in DNA methylation. In this study we explored the changes in whole blood DNA methylation of participants of a program focusing on individual, ancestral and collective trauma processing and meditation in a large group setting of 1.6 years duration. Based on accompanying questionnaires, training participants report slight improvements in anxiety, depression and overall life satisfaction and some mystical experiences. 3227 CpGs and 253 genes were found to be differentially methylated during the training. Although these genes are not involving any of the known trauma related genes and relevant gene ontology terms, they comprise a large number of genes involved in the nervous function, as well as in cellular and developmental functions, the immune system and metabolism. Also, epigenetic aging is predicted to slow down during training. In summary this pilot study yielded additional findings showcasing the potential correlation of trauma therapy and alterations of DNA methylation.

genomics↗

bioRxiv2024

Circadian clock features define novel breast cancer subtypes and shape drug sensitivity

The circadian clock regulates key physiological processes, including cellular responses to DNA damage. Circadian-based therapeutic strategies optimize treatment timing to enhance drug efficacy and minimize side effects, offering potential for precision cancer treatment. However, applying these strategies in cancer remains limited due to limited understanding of the clocks function across cancer types and incomplete insights into how the circadian clock affects drug responses. To address this, we conducted deep circadian phenotyping across a panel of breast cancer cell lines using two complementary reporters. Observing diverse circadian dynamics, we developed metrics to assess circadian rhythm strength and stability. This led to the identification of four distinct circadian-based phenotypes in breast cancer: functional, weak, unstable, and dysfunctional clocks. Furthermore, we demonstrate that the circadian clock plays a critical role in shaping pharmacological responses to various anti-cancer drugs and identify circadian features that accurately predict drug sensitivity. Collectively, our findings establish a foundation for advancing the use of chronotherapeutic strategies in breast cancer treatment, expanding their potential application to improve therapeutic outcomes in breast cancer.

cancer biology↗

bioRxiv2023

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↗