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Human Induced Pluripotent Stem Cell‐Derived Neural Progenitor Cells Produce Distinct Neural 3D In Vitro Models Depending on Alginate/Gellan Gum/Laminin Hydrogel Blend Properties
Author(s) -
Kapr Julia,
Petersilie Laura,
Distler Thomas,
Lauria Ines,
Bendt Farina,
Sauter Clemens M.,
Boccaccini Aldo R.,
Rose Christine R.,
Fritsche Ellen
Publication year - 2021
Publication title -
advanced healthcare materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.288
H-Index - 90
eISSN - 2192-2659
pISSN - 2192-2640
DOI - 10.1002/adhm.202100131
Subject(s) - neural stem cell , neural cell , induced pluripotent stem cell , progenitor cell , materials science , gellan gum , directed differentiation , biomedical engineering , cell , microbiology and biotechnology , biophysics , stem cell , chemistry , biology , embryonic stem cell , biochemistry , medicine , food science , gene
Stable and predictive neural cell culture models are a necessary premise for many research fields. However, conventional 2D models lack 3D cell‐material/‐cell interactions and hence do not reflect the complexity of the in vivo situation properly. Here two alginate/gellan gum/laminin (ALG/GG/LAM) hydrogel blends are presented for the fabrication of human induced pluripotent stem cell (hiPSC)‐based 3D neural models. For hydrogel embedding, hiPSC‐derived neural progenitor cells (hiNPCs) are used either directly or after 3D neural pre‐differentiation. It is shown that stiffness and stress relaxation of the gel blends, as well as the cell differentiation strategy influence 3D model development. The embedded hiNPCs differentiate into neurons and astrocytes within the gel blends and display spontaneous intracellular calcium signals. Two fit‐for‐purpose models valuable for i) applications requiring a high degree of complexity, but less throughput, such as disease modeling and long‐term exposure studies and ii) higher throughput applications, such as acute exposures or substance screenings are proposed. Due to their wide range of applications, adjustability, and printing capabilities, the ALG/GG/LAM based 3D neural models are of great potential for 3D neural modeling in the future.