Tunable anisotropic networks for 3-D oriented neural tissue models

Biomaterials ◽  
2018 ◽  
Vol 181 ◽  
pp. 402-414 ◽  
Author(s):  
Raphaël F. Canadas ◽  
Tanchen Ren ◽  
Alessandro Tocchio ◽  
Alexandra P. Marques ◽  
Joaquim M. Oliveira ◽  
...  
2022 ◽  
Author(s):  
Alp Ozgun ◽  
David Lomboni ◽  
Hallie Arnott ◽  
William A. Staines ◽  
John Woulfe ◽  
...  

This review provides a comprehensive compendium of commonly used biomaterials as well as the different fabrication techniques employed for the design of 3D neural tissue models.


Author(s):  
Schwartz Michael ◽  
Hou Zhonggang ◽  
Propson Nicholas ◽  
Zhang Jue ◽  
Pellett Sabine ◽  
...  

Biomaterials ◽  
2018 ◽  
Vol 154 ◽  
pp. 113-133 ◽  
Author(s):  
Pei Zhuang ◽  
Alfred Xuyang Sun ◽  
Jia An ◽  
Chee Kai Chua ◽  
Sing Yian Chew
Keyword(s):  

Author(s):  
Catalina Vallejo-Giraldo ◽  
Martina Genta ◽  
Olivia Cauvi ◽  
Josef Goding ◽  
Rylie Green

2019 ◽  
Vol 116 (51) ◽  
pp. 25932-25940 ◽  
Author(s):  
Gelson J. Pagan-Diaz ◽  
Karla P. Ramos-Cruz ◽  
Richard Sam ◽  
Mikhail E. Kandel ◽  
Onur Aydin ◽  
...  

Formation of tissue models in 3 dimensions is more effective in recapitulating structure and function compared to their 2-dimensional (2D) counterparts. Formation of 3D engineered tissue to control shape and size can have important implications in biomedical research and in engineering applications such as biological soft robotics. While neural spheroids routinely are created during differentiation processes, further geometric control of in vitro neural models has not been demonstrated. Here, we present an approach to form functional in vitro neural tissue mimic (NTM) of different shapes using stem cells, a fibrin matrix, and 3D printed molds. We used murine-derived embryonic stem cells for optimizing cell-seeding protocols, characterization of the resulting internal structure of the construct, and remodeling of the extracellular matrix, as well as validation of electrophysiological activity. Then, we used these findings to biofabricate these constructs using neurons derived from human embryonic stem cells. This method can provide a large degree of design flexibility for development of in vitro functional neural tissue models of varying forms for therapeutic biomedical research, drug discovery, and disease modeling, and engineering applications.


2005 ◽  
Vol 65-66 ◽  
pp. 851-857 ◽  
Author(s):  
Kenneth P. Eaton ◽  
Craig S. Henriquez
Keyword(s):  

2019 ◽  
Vol 42 ◽  
Author(s):  
Charles R. Gallistel

Abstract Shannon's theory lays the foundation for understanding the flow of information from world into brain: There must be a set of possible messages. Brain structure determines what they are. Many messages convey quantitative facts (distances, directions, durations, etc.). It is impossible to consider how neural tissue processes these numbers without first considering how it encodes them.


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