Engineering Tissue‐Relevant Collagen Bundle Architectures via Macromolecular Crowding

Collagen type I forms thick, cell-scaled bundles in native tissues, but standard in vitro collagen gels are composed of disordered thin nanofibrillar networks lacking this architecture. We introduce a simple macromolecular crowding (MMC) strategy, distinct from thermo- or pH-driven gelation, that rapidly assembles collagen into continuous, thick, microscale bundles with tunable dimensions matching healthy and diseased tissue states. These bundles recreate fibrotic and cancer-associated matrix features, enabling direct investigation of how the geometry and topography of collagen fiber networks regulate cell-state transitions and tumor invasion. The method is compatible with collagen from multiple species and collagen-rich decellularized ECM. These single-cell-sized bundles also support robust endothelial sprouting and the formation of aligned microvascular networks in matrices that normally restrict angiogenesis. Bundle suspensions are readily extrudable for bioprinting and injectable delivery applications. Compared to conventional collagen gels, MMC-synthesized bundles are highly tunable to trigger diverse cell behaviors and more accurately replicate native tissue microenvironments, providing a broadly applicable platform for disease modeling and regenerative engineering.

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Publication Details

Journal
Advanced Healthcare Materials
Published
2026-08-25
DOI
https://doi.org/10.1002/adhm.71566
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Engineering Tissue‐Relevant Collagen Bundle Architectures via Macromolecular Crowding

Themis R. Kyriakides, Raymond Liu, Xiangyu Gong, Alejandro Rossello‐Martinez et al.
Advanced Healthcare Materials
3D Printing in Biomedical Research
article

Engineering Tissue‐Relevant Collagen Bundle Architectures via Macromolecular Crowding

Themis R. Kyriakides, Raymond Liu, Xiangyu Gong, Alejandro Rossello‐Martinez, Michael Mak, Yaqing Huang, Zihan Zhou, Zhang Wen, Zixie Liang, Yair Saucedo, Lingjie Pan, Mahdi Karimi
article en

Abstract

Collagen type I forms thick, cell-scaled bundles in native tissues, but standard in vitro collagen gels are composed of disordered thin nanofibrillar networks lacking this architecture. We introduce a simple macromolecular crowding (MMC) strategy, distinct from thermo- or pH-driven gelation, that rapidly assembles collagen into continuous, thick, microscale bundles with tunable dimensions matching healthy and diseased tissue states. These bundles recreate fibrotic and cancer-associated matrix features, enabling direct investigation of how the geometry and topography of collagen fiber networks regulate cell-state transitions and tumor invasion. The method is compatible with collagen from multiple species and collagen-rich decellularized ECM. These single-cell-sized bundles also support robust endothelial sprouting and the formation of aligned microvascular networks in matrices that normally restrict angiogenesis. Bundle suspensions are readily extrudable for bioprinting and injectable delivery applications. Compared to conventional collagen gels, MMC-synthesized bundles are highly tunable to trigger diverse cell behaviors and more accurately replicate native tissue microenvironments, providing a broadly applicable platform for disease modeling and regenerative engineering.

Advanced Healthcare Materials
Yale University (US), Stony Brook School (US), MidAmerica Nazarene University (US)
National Science Foundation
Life in Land
Openalex Percentile: Top 19%
3D Printing in Biomedical Research
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