Data underlying the manuscript: Invasive cancer cells soften collagen networks and disrupt stress stiffening via volume exclusion, contractility and adhesion

Datacite citation style

Nagle, Irène; Tavasso, Margherita; Deep Bordoloi, Ankur ; Muntz, Iain; Koenderink, G.H. (Gijsje) et. al. (2025): Data underlying the manuscript: Invasive cancer cells soften collagen networks and disrupt stress stiffening via volume exclusion, contractility and adhesion. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/5dd62a23-7f71-4674-b232-7c8316ce5492.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Version 2 - 2025-08-21 (latest)
Version 1 - 2025-04-15

The research investigates how local cell–ECM interactions regulate the global mechanics of collagen networks in a biomimetic tissue model composed of type I fibrillar collagen with embedded cancer cells (volume fractions: 0.4%–20%). Experiments compare the behavior of human dermal fibroblasts and MDA-MB-231 breast cancer cells, which are known to actively remodel collagen networks. Collagen polymerization and network mechanics were characterized using bulk shear rheology. A custom-built rheo-confocal microscope was used to visualize real-time local remodeling of collagen during polymerization. All raw data, processed results, and MATLAB/python scripts for data analysis and figure generation are included.

History

  • 2025-04-15 first online, published, posted

Publisher

4TU.ResearchData

Format

image/.tif, MATLAB code/.m, Pythoncode/.py, MATLAB figure/.fig, Excel/.xlsx, Word/.docx, Adobe PDF/.pdf, Microsoft PowerPoint Presentation/.pptx, image/.ai, rawdata/.czi

Funding

  • European Union's Horizon 2020 research and innovation program (grant code 819424) European Research Council (ERC)
  • Flagship Healthy Joints Convergence Health and Technology
  • HORIZON EUROPE Marie Sklodowska-Curie Postdoctoral Fellowship 2022 (grant code 101111247)

Organizations

TU Delft, Faculty of Applied Sciences, Department of Chemical Engineering, Product and Process Engineering
TU Delft, Faculty of Applied Sciences, Department of Bionanoscience, Kavli Institute of Nanoscience
Leiden University Medical Centre, Department of Biological and Soft Matter, Leiden Institute of Physics

DATA

Files (17)