Sendoel Lab

@sendoellab.bsky.social

Sendoel lab at the University of Zurich, alumnus of the The Rockefeller University, NYC. We are excited about mRNA translation, stem cells and cancer. www.sendoellab.org

What perfect timing - exactly one year after my PhD defense, I’m very happy to see my PhD work published in @cp-molcell.bsky.social. Huge thanks to @sendoellab.bsky.social and all co-authors. This would not have been possible without you 🎉

Sendoel Lab@sendoellab.bsky.social · 3mo ago

Very happy to see our study on the development of an in vivo single-cell ribosome profiling strategy for the epidermis now online at @cp-molcell.bsky.social. Fantastic work by @claradure.bsky.social and all co-authors involved. www.cell.com/molecular-ce...

Time for some fun! A lovely paper on mathematical oncology. 🧪 #Math #Cancer #CANsky www.biorxiv.org/content/10.6...

75 Years of Mathematical Oncology

Mathematics has long provided a quantitative framework to interpret cancer biology and treatment. Driven by richer biological and clinical data, the field has evolved into a multidisciplinary and translational endeavor - giving rise to Mathematical Oncology. Yet, the field's strong interdisciplinarity obscures a comprehensive view of its evolution, as well as the boundaries between Mathematical Oncology and adjacent domains. Here, we address this gap through a comprehensive bibliometric analysis spanning 75 years of mathematical research in oncology. Using a manually curated corpus (~1,500 papers) and a large query-based dataset (~19,000 papers), we map the field's conceptual and collaborative development over time. Independent analyses reveal sustained growth, high impact, and pronounced interdisciplinarity, together with a gradual shift from fundamental cancer biology toward therapeutic modeling. This reorientation underpins the emergence of Mathematical Oncology as a distinct field, separate from Systems Biology and Pharmacokinetics / Pharmacodynamics. We show how diverse concepts interlace within Mathematical Oncology, bridging applied mathematics, optimal control, evolutionary theory, and imaging. Collectively, we demonstrate that Mathematical Oncology is not merely the application of mathematics to cancer, but the use of interpretable models integrating clinical, biological, and physical knowledge to improve screening, understand disease evolution, guide therapy, and strengthen forecasting. ### Competing Interest Statement The authors have declared no competing interest. NCI, U54CA274507 Wenner-Gren Stiftelserna/the Wenner-Gren Foundations, WGF2022-0044 Cancer Prevention Research Institute of Texas, RP220225 National Science Foundation, DMS 2436499 MICIU/AEI/10.13039/501100011033 and ERDF/EU, PID2023-146347OA-I00 MICIU/AEI/10.13039/501100011033 and ESF+, RYC2022-036010-I

biorxiv.org

On this national day of mourning across Switzerland for the victims of the Crans-Montana tragedy, we remember all those who were lost, all who are gravely injured, their families and loved ones, the rescuers, and medical teams caring for them Such a heartbreaking loss of young lives in our region 💔

Flags flying at half-mast at the lake during the period of national mourning for all the victims of the Crans-Montana tragedy in Switzerland

Thank you @erc.europa.eu and the panel for supporting our project RIBOSCOPE! Above all, thank you to all past & present lab members whose dedication made this possible. We are excited to push single-cell technologies to map the translational landscape of cancer. #ERCCoG

European Research Council (ERC)@erc.europa.eu · 8mo ago

The results of the ERC Consolidator Grant call have been announced! 📣 349 researchers have been selected for funding. Congratulations to all! #ERCCogG! 👉 buff.ly/uu62uFV #FrontierResearch #EUfunded #HorizonEurope @scienceinnovation.ec.europa.eu

The summer of defenses comes to an end! Huge congratulations to David (@dadita.bsky.social ) on a brillant PhD and thank you for everything you have done to shape our lab community from day 1 on. We’re thrilled you’re staying in Zurich and wish you all the best in your next chapter!

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Our first PhD generation is flying out of the nest. Thank you Merve and Clara for shaping our lab from day one on. Wishing you all the best in your next chapters, we’re excited to see what comes next for you!

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The authors report that all seven tested deep learning models failed to outperform simple baselines in predicting transcriptome changes after single or double perturbations. I will duck for cover.

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How can we identify novel regulators of germ layer differentiation and body patterning? I am happy to announce that my preprint using single-cell CRISPR screens in gastruloids to answer this question is now online! Thank you to the rest of the @sendoellab.bsky.social and all coauthors!

bioRxiv Developmental Biology@biorxiv-devbio.bsky.social · last yr.

Regulation of mRNA polyadenylation governs mammalian body plan formation in gastruloids https://www.biorxiv.org/content/10.1101/2025.07.22.666114v1

PhDone 🥳🎓 The last few years was full of successes, failures, ups and downs, but also full of amazing people, countless talks, great conferences, incredible science and endless support from my supervisor and my thesis committee. Thanks to all people who helped me in this amazing journey! #eIF2A

Sendoel Lab@sendoellab.bsky.social · last yr.

The summer of defenses continues, huge congratulations Dr. Yigit for a superbly delivered talk and an excellent defense!