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

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Publicado en:Nature Communications vol. 15, no. 1 (2024), p. 7205
Autor Principal: Ector, Carolin
Outros autores: Schmal, Christoph, Didier, Jeff, De Landtsheer, Sébastien, Finger, Anna-Marie, Müller-Marquardt, Francesca, Schulte, Johannes H., Sauter, Thomas, Keilholz, Ulrich, Herzel, Hanspeter, Kramer, Achim, Granada, Adrián E.
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024 7 |a 10.1038/s41467-024-51611-3  |2 doi 
035 |a 3095292261 
045 2 |b d20240101  |b d20241231 
084 |a 145839  |2 nlm 
100 1 |a Ector, Carolin  |u Charité – Universitätsmedizin Berlin, Charité Comprehensive Cancer Center, Berlin, Germany (GRID:grid.6363.0) (ISNI:0000 0001 2218 4662); Humboldt-Universität zu Berlin, Faculty of Life Sciences, Berlin, Germany (GRID:grid.7468.d) (ISNI:0000 0001 2248 7639) 
245 1 |a Time-of-day effects of cancer drugs revealed by high-throughput deep phenotyping 
260 |b Nature Publishing Group  |c 2024 
513 |a Journal Article 
520 3 |a 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 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 devise 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.The circadian rhythm has been linked to cancer cell sensitivity to therapy but tools to understand this further are limited. Here, by combining live-cell imaging and computational tools, the authors develop a high-throughput deep-phenotyping approach to evaluate circadian rhythms and use it to determine time-of-day drug sensitivity in cancer cell lines. 
653 |a Side effects 
653 |a Sensitivity analysis 
653 |a Cancer therapies 
653 |a Cell culture 
653 |a Biological effects 
653 |a Phenotypes 
653 |a Medical imaging 
653 |a Genetic factors 
653 |a Computer applications 
653 |a Biological activity 
653 |a Cancer 
653 |a Time of use 
653 |a Data analysis 
653 |a Chemotherapy 
653 |a Circadian rhythms 
653 |a Phenotyping 
653 |a Antineoplastic drugs 
653 |a Optimization 
653 |a Tumor cell lines 
653 |a Circadian rhythm 
653 |a Software 
653 |a Environmental 
700 1 |a Schmal, Christoph  |u Humboldt-Universität zu Berlin, Institute for Theoretical Biology, Berlin, Germany (GRID:grid.7468.d) (ISNI:0000 0001 2248 7639) 
700 1 |a Didier, Jeff  |u University of Luxembourg, Department of Life Sciences and Medicine, Esch-sur-Alzette, Luxembourg (GRID:grid.16008.3f) (ISNI:0000 0001 2295 9843) 
700 1 |a De Landtsheer, Sébastien  |u University of Luxembourg, Department of Life Sciences and Medicine, Esch-sur-Alzette, Luxembourg (GRID:grid.16008.3f) (ISNI:0000 0001 2295 9843) 
700 1 |a Finger, Anna-Marie  |u Charité – Universitätsmedizin Berlin, Institute for Medical Immunology, Berlin, Germany (GRID:grid.6363.0) (ISNI:0000 0001 2218 4662); San Francisco, Department of Anatomy, University of California, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811) 
700 1 |a Müller-Marquardt, Francesca  |u Charité – Universitätsmedizin Berlin, Charité Comprehensive Cancer Center, Berlin, Germany (GRID:grid.6363.0) (ISNI:0000 0001 2218 4662); University of Montpellier, Institute of Research for Development, Montpellier, France (GRID:grid.121334.6) (ISNI:0000 0001 2097 0141) 
700 1 |a Schulte, Johannes H.  |u Charité – Universitätsmedizin Berlin, Department of Pediatric Oncology, Hematology and Stem Cell Transplantation, Berlin, Germany (GRID:grid.6363.0) (ISNI:0000 0001 2218 4662); Universitätsklinikum Tübingen, Clinic for Pediatrics and Adolescent Medicine, Tübingen, Germany (GRID:grid.411544.1) (ISNI:0000 0001 0196 8249) 
700 1 |a Sauter, Thomas  |u University of Luxembourg, Department of Life Sciences and Medicine, Esch-sur-Alzette, Luxembourg (GRID:grid.16008.3f) (ISNI:0000 0001 2295 9843) 
700 1 |a Keilholz, Ulrich  |u Charité – Universitätsmedizin Berlin, Charité Comprehensive Cancer Center, Berlin, Germany (GRID:grid.6363.0) (ISNI:0000 0001 2218 4662); German Cancer Consortium (DKTK), Berlin, Germany (GRID:grid.6363.0) (ISNI:0000 0004 7865 6683) 
700 1 |a Herzel, Hanspeter  |u Humboldt-Universität zu Berlin, Institute for Theoretical Biology, Berlin, Germany (GRID:grid.7468.d) (ISNI:0000 0001 2248 7639); Charité – Universitätsmedizin Berlin, Berlin, Germany (GRID:grid.6363.0) (ISNI:0000 0001 2218 4662) 
700 1 |a Kramer, Achim  |u Charité – Universitätsmedizin Berlin, Institute for Medical Immunology, Berlin, Germany (GRID:grid.6363.0) (ISNI:0000 0001 2218 4662) 
700 1 |a Granada, Adrián E.  |u Charité – Universitätsmedizin Berlin, Charité Comprehensive Cancer Center, Berlin, Germany (GRID:grid.6363.0) (ISNI:0000 0001 2218 4662); German Cancer Consortium (DKTK), Berlin, Germany (GRID:grid.6363.0) (ISNI:0000 0004 7865 6683) 
773 0 |t Nature Communications  |g vol. 15, no. 1 (2024), p. 7205 
786 0 |d ProQuest  |t Health & Medical Collection 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3095292261/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3095292261/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch