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A 3D Self-Assembly Platform Integrating Decellularized Matrix Recapitulates In Vivo Tumor Phenotypes and Heterogeneity

GSE267714 Mus musculus Expression profiling by high throughput sequencing 4 samples Submitted 2025/01/25 Platform GPL24247
Summary
The tumor microenvironment consists of resident tumor cells organized within a compositionally diverse, three-dimensional (3D) extracellular matrix (ECM) network that cannot be replicated in vitro using bottom-up synthesis. We report a system to engineer ECM-rich 3D MatriSpheres wherein tumor cells actively organize and assemble microgram quantities of decellularized ECM which in turn modulate cancer phenotype. 3D colorectal cancer (CRC) MatriSpheres were created using decellularized small intestine submucosa (SIS) as an orthotopic ECM source that had greater proteomic homology to CRC tumor ECM than traditional ECM formulations such as Matrigel. SIS ECM was rapidly concentrated from its environment and assembled into ECM-rich 3D stroma-like regions by colorectal cancer cell lines within 4-5 days via a mechanism that was rheologically distinct from bulk hydrogel formation. Both ECM organization and transcriptional regulation by 3D ECM cues were cell line specific, affecting programs of malignancy, lipid metabolism, and immunoregulation that corresponded to an in vivo tumor cell subpopulation identified via single cell RNA sequencing. This 3D modeling approach stimulates tumor specific tissue morphogenesis that incorporates the complexities of both cancer cell and ECM compartments in a scalable, spontaneous assembly process that may further facilitate precision medicine.
Published in
A 3D Self-Assembly Platform Integrating Decellularized Matrix Recapitulates In Vivo Tumor Phenotypes and Heterogeneity
Buckenmeyer MJ, Brooks EA, Taylor MS et al. · Cancer research 2025 · PMID 39888317 · doi:10.1158/0008-5472.CAN-24-1954
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Direct links to NCBI, no account and no request form: the whole study as GSE267714_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1112447 and SRA study SRP508195. Searching any of these in the dataset finder brings you back here.

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