Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/169490
Title: The combined effects of topography and stiffness on neuronal differentiation and maturation using a hydrogel platform
Authors: Mattiassi, Sabrina
Conner, Abigail A.
Feng, Fan
Goh, Eyleen Lay Keow
Yim, Evelyn K. F.
Keywords: Science::Medicine
Issue Date: 2023
Source: Mattiassi, S., Conner, A. A., Feng, F., Goh, E. L. K. & Yim, E. K. F. (2023). The combined effects of topography and stiffness on neuronal differentiation and maturation using a hydrogel platform. Cells, 12(6), 934-. https://dx.doi.org/10.3390/cells12060934
Journal: Cells 
Abstract: Biophysical parameters such as substrate topography and stiffness have been shown independently to elicit profound effects on neuronal differentiation and maturation from neural progenitor cells (NPCs) yet have not been investigated in combination. Here, the effects of various micrograting and stiffness combinations on neuronal differentiation and maturation were investigated using a polyacrylamide and N-acryloyl-6-aminocaproic acid copolymer (PAA-ACA) hydrogel with tunable stiffness. Whole laminin was conjugated onto the PAA-ACA surface indirectly or directly to facilitate long-term mouse and human NPC-derived neuron attachment. Three micrograting dimensions (2-10 µm) were patterned onto gels with varying stiffness (6.1-110.5 kPa) to evaluate the effects of topography, stiffness, and their interaction. The results demonstrate that the extracellular matrix (ECM)-modified PAA-ACA gels support mouse and human neuronal cell attachment throughout the differentiation and maturation stages (14 and 28 days, respectively). The interaction between topography and stiffness is shown to significantly increase the proportion of β-tubulin III (TUJ1) positive neurons and microtubule associated protein-2 (MAP2) positive neurite branching and length. Thus, the effects of topography and stiffness cannot be imparted. These results provide a novel platform for neural mechanobiology studies and emphasize the utility of optimizing numerous biophysical cues for improved neuronal yield in vitro.
URI: https://hdl.handle.net/10356/169490
ISSN: 2073-4409
DOI: 10.3390/cells12060934
Schools: Lee Kong Chian School of Medicine (LKCMedicine) 
Rights: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:LKCMedicine Journal Articles

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