journal article·2026-06Open access

Cells Dynamically Adapt Their Nuclear Volumes and Proliferation Rates During Single to Multicellular Transitions

Vaibhav Mahajan, Keshav Gajendra Babu, Markus Mukenhirn, Antje Garside, Vinita Ajit Kini, Trishla Adhikari, Timon Beck, Byung Ho Lee, Kyoohyun Kim, Carsten Werner, Raimund Schlüßler, Alf Honigmann, Sebastian Aland, Anna Verena Taubenberger

Advanced Science· Volume 13· Issue 31

Abstract

ABSTRACT Tumor development and progression involve biophysical changes across spatial scales, from the subcellular to the multicellular tissue scale. While cells are known to dynamically regulate their volumes and mechanics in dependence of cell state and function, it is unclear how these properties are controlled in dense multicellular environments like developing tumors. Here, we quantified cell and nuclear volumes of cancer cells forming multicellular spheroids within mechanically tunable biohybrid polymer hydrogels. We quantitatively showed that formation of multicellular structures is associated with marked reductions of cellular and nuclear volumes, cell cycle delays as well as cell mechanical alterations, and that these changes are coupled. Single‐to‐multicellular transitions led to up to 60% decreases in median nuclear volumes, which was not explained by growth‐induced compressive stress. Instead, nuclear volume reductions in emerging clusters arose from cell cycle adaptations, with accumulation of smaller G1‐phase cells—reversed by CDK1 inhibition. Additional nuclear downsizing in forming clusters was associated with cell mass density and stiffness increases and reverted upon cell release. Conversely, multicellular‐to‐single cell transitions during invasion were accompanied by nuclear volume expansion and cell softening. Together, these findings reveal dynamic regulation of cellular and nuclear volumes, mechanics, and cell cycle progression in response to multicellular state.
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Research context

OpenAlex topics: Cellular Mechanics and Interactions · Mathematical Biology Tumor Growth · Cancer Cells and Metastasis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Dresden University of Technology Biotechnology Center Center for Molecular and Cellular Bioengineering Dresden Germany

Department of Physiology Development and Neuroscience University of Cambridge Cambridge United Kingdom

Max Planck Institute for the Science of Light Erlangen Germany

Max Planck Institute of Molecular Cell Biology and Genetics Dresden Germany

Leibniz Institute of Polymer Research Dresden Max Bergmann Center of Biomaterials Dresden Dresden Germany

CellSense Technologies Berlin Germany

Cluster of Excellence Physics of Life TU Dresden Dresden Germany

Hochschule Für Technik Und Wirtschaft Dresden Dresden Germany

Funding

Deutsche Krebshilfe · Deutsche Forschungsgemeinschaft

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