Data underlying the publication: Unjamming transitions in cancer cell spheroids are linked to EMT-dependent cell-matrix interactions

DOI:10.4121/3af75b5a-db30-419c-97ab-a5f632812a6c.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/3af75b5a-db30-419c-97ab-a5f632812a6c
Datacite citation style:
van der Net, Anouk; Rahman, Zaid ; Deep Bordoloi, Ankur ; Muntz, Iain; ten Dijke , Peter et. al. (2024): Data underlying the publication: Unjamming transitions in cancer cell spheroids are linked to EMT-dependent cell-matrix interactions. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/3af75b5a-db30-419c-97ab-a5f632812a6c.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Datasets for the publication "Unjamming transitions in cancer cell spheroids are linked to EMT-dependent cell-matrix interactions", to be submitted.

Datasets include the raw tif files of 3D spheroid invasion assays of A549 and MV3 spheroids embedded in collagen (2.4 and 8 mg/mL) and gelMA (30 and 50 mg/mL). This include time-series bright-field imaging for 24 hrs (MV3) and 72 hrs (A549) at one hour interval. The spheroids were treated with exogenous TGF-β and broad spectrum MMP-inhibitor and imaged under same conditions.

Datasets include MATLAB/.m codes to analyze the spheroid images for effective spheroid radius, number of disseminated cells, rate of invasion and protrusion length. Additionally, MATLAB codes/.m to plot figures are also included within each respective condition. Raw data for supplementary data is also provided as images, excel files and MATLAB scripts.

History

  • 2024-04-10 first online, published, posted

Publisher

4TU.ResearchData

Format

image/.tif, MATLAB code/.m, MATLAB figure/.fig, Adobe Illustrator/.ai, Word/.docx

Funding

  • European Union Horizon 2020 research and innovation programme (grant code 820331) European Union

Organizations

TU Delft, Faculty of Applied Sciences, Department of Chemical Engineering and Department of Bionanoscience

DATA

Files (1)