Photocurable cellulose nanofibers and their copolymers with polyacrylamide as microgels to support 3D cell cultivation

Tutkimustuotos: LehtiartikkeliArtikkeliTieteellinenvertaisarvioitu

Abstrakti

Cellulose nanofibers (CNFs) are renewable bionanomaterials with great utilization potential in future biomedicals. However, conventional CNF hydrogels are limited by low structural flexibility and insufficiently tunable mechanical properties, restricting their use in 3D cell culture systems. To address these limitations, we developed granular hydrogel platforms using photocurable and ionically crosslinkable methacrylated CNFs (CNFMAs) and their copolymers with polyacrylamide via a dual cross-linking mechanism. By employing this bottom-up approach, mechanically fragmented microgels were reassembled into granular hydrogels via calcium ion crosslinking. This assembly of methacrylated CNF-based microgels successfully supported long-term 3D cell culture and demonstrated the capability to provide biomechanical cues that facilitate different cellular responses. The granular hydrogel of CNFMA alone promoted clustering and migration of human pancreatic cancer cells (PANC-1), while the copolymerization of CNFMA with polyacrylamide introduced stiffness variations into the hybrid granular hydrogel system that enhanced the spreading of preosteoblasts (MC3T3-E1) and facilitated spheroid formation in the culture of PANC-1. These findings underscore the versatility of photocurable nanocellulose in constructing biomaterial platforms. Overall, this study establishes a foundation for advancing in vitro models for tissue engineering and cancer research using CNFMA-derived microgel systems.
AlkuperäiskieliEnglanti
Sivut14394-14407
JulkaisuNanoscale
Vuosikerta17
Numero23
DOI - pysyväislinkit
TilaJulkaistu - 21 kesäk. 2025
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

Rahoitus

Business Finland is acknowledged for funding this study via the Research-to-Business project 3D CelluGel (1529/31/2022). S. Liang would like to acknowledge the financial support from the Doctoral Network of Åbo Akademi University (ÅAU) for funding her doctoral study at ÅAU, Finland. X. Wang would like to thank the Research Council of Finland for the Academy Research Fellow funding (333158) at ÅAU. This research is also aligned with the strategic research profiling area “Solutions for Health” at Åbo Akademi University (funded by the Research Council/Academy of Finland, 336355). Parts of the research used the Research Council of Finland Research Infrastructure “Printed Intelligence Infrastructure” (PII-FIRI).

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