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Kevin Ziegler

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Articles

The brain neurovascular epigenome and its association with dementia

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By Kevin Ziegler, Aydan Askarova, Reuben M. Yaa, Jia Du, Rebecca Graham, Muralidharan Sargurupremraj, Stéphanie Debette, David D. Gonda, Michael Levy, Siddharthan Chandran, Sven Falk, Marisa Karow, Paul Matthews, Nicole G. Coufal, Alexi Nott, Charbel Gergian, Janis Lisa Transfeld, Filippo Zoppi, Daniel Clode, Fatemeh Rahbar
| Cell Press Verified
ArticleOnline nowOpen access 1UK Dementia Research Institute, Imperial College London, London, UK 2Department of Brain Sciences, Imperial College London, London, UK 3Institute of Biochemistry, Friedrich-Alexander-University Erlangen-Nuremberg, Fahrstrasse 17, 91054 Erlangen, Germany 4Department of Immunology, University of Toronto, Toronto, ON, Canada 5UK DRI and Centre for Clinical Brain Science at the University of Edinburgh, Edinburgh, UK 6Glenn Biggs Institute for Alzheimer’s &...
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Author Correction: Cross-species comparison reveals therapeutic vulnerabilities halting glioblastoma progression - Nature Communications

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By Valentin Wust, Diana-Patricia Danciu, Vuslat Akcay, Milica Bekavac, Kevin Ziegler, Nina Stinchcombe, Ahmed Sadik, Christiane A. Opitz, Angela Goncalves, Anna Marciniak-Czochra, Simon Anders
| Nature Verified
Correction to: Nature Communications https://doi.org/10.1038/s41467-025-62528-w, published online 06 August 2025 The original version of this Article contained an error in the spelling of the author Jocelyn L.Y. Tang, which was incorrectly given as Joceyln Tang. This has now been corrected in both the PDF and HTML versions of the Article.
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Cross-species comparison reveals therapeutic vulnerabilities halting glioblastoma progression - Nature Communications

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By Valentin Wust, Diana-Patricia Danciu, Milica Bekavac, Kevin Ziegler, Nina Stinchcombe, Ahmed Sadik, Christiane A. Opitz, Angela Goncalves, Anna Marciniak-Czochra, Simon Anders, Vuslat Akcay
| Nature Verified
Abstract The growth of a tumor is tightly linked to the distribution of its cells along a continuum of activation states. Here, we systematically decode the activation state architecture (ASA) in a glioblastoma (GBM) patient cohort through comparison to adult murine neural stem cells. Modelling of these data forecasts how tumor cells organize to sustain growth and identifies the rate of activation as the main predictor of growth.
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