Deciphering the Influence of Effective Shear Modulus on Neuronal Network Directionality and Growth Cones’ Morphology via Laser-Assisted 3D-Printed Nanostructured Arrays (Adv. Funct. Mater. 5/2025)

IF 19.9 1区材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY Advanced Functional Materials Pub Date : 2025-01-29 DOI:10.1002/adfm.202570030

George Flamourakis, Qiangrui Dong, Dimitri Kromm, Selina Teurlings, Jeffrey van Haren, Tim Allertz, Hilde Smeenk, Femke M. S. de Vrij, Roderick P. Tas, Carlas S. Smith, Daan Brinks, Angelo Accardo

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Abstract

Neuronal Growth Cones

In article number 2409451, Carlas S. Smith, Daan Brinks, Angelo Accardo, and co-workers manufacture nanostructured arrays featuring tunable effective shear modulus via two-photon polymerization; these are cultured with three different neuronal cell types, including stem-cell-derived and primary neurons. The topographic and mechanical cues of the engineered 3D biomaterials fosters the development of in vivo like features, specifically concerning neuronal network directionality, cell differentiation, and 3D growth cone morphology.

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利用激光辅助3d打印纳米结构阵列解析有效剪切模量对神经网络方向性和生长锥形态的影响。板牙。5/2025)

神经元生长锥

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来源期刊

Advanced Functional Materials 工程技术-材料科学：综合

CiteScore

29.50

自引率

4.20%

发文量

2086

审稿时长

2.1 months

期刊介绍： Firmly established as a top-tier materials science journal, Advanced Functional Materials reports breakthrough research in all aspects of materials science, including nanotechnology, chemistry, physics, and biology every week. Advanced Functional Materials is known for its rapid and fair peer review, quality content, and high impact, making it the first choice of the international materials science community.