| Literature DB >> 33059333 |
Yi-Chen Ethan Li1,2, Yasamin A Jodat1,3, Roya Samanipour1,4, Giulio Zorzi1, Kai Zhu1,5, Minoru Hirano1,6, Karen Chang7, Adnan Arnaout1, Shabir Hassan1, Navneet Matharu8,9, Ali Khademhosseini1,10,11,12,13, Mina Hoorfar4, Su Ryon Shin1.
Abstract
A crucial step in creating reliablein vitroplatforms for neural development and disorder studies is the reproduction of the multicellular three-dimensional (3D) brain microenvironment and the capturing of cell-cell interactions within the model. The power of self-organization of diverse cell types into brain spheroids could be harnessed to study mechanisms underlying brain development trajectory and diseases. A challenge of current 3D organoid and spheroid models grown in petri-dishes is the lack of control over cellular localization and diversity. To overcome this limitation, neural spheroids can be patterned into customizable 3D structures using microfabrication. We developed a 3D brain-like co-culture construct using embedded 3D bioprinting as a flexible solution for composing heterogenous neural populations with neurospheroids and glia. Specifically, neurospheroid-laden free-standing 3D structures were fabricated in an engineered astrocyte-laden support bath resembling a neural stem cell niche environment. A photo-crosslinkable bioink and a thermal-healing supporting bath were engineered to mimic the mechanical modulus of soft tissue while supporting the formation of self-organizing neurospheroids within elaborate 3D networks. Moreover, bioprinted neurospheroid-laden structures exhibited the capability to differentiate into neuronal cells. These brain-like co-cultures could provide a reproducible platform for modeling neurological diseases, neural regeneration, and drug development and repurposing.Entities:
Keywords: astrocytes; brain tissues; embedded bioprinting; neural stem cells; neurospheroids; thermal-healing hydrogels
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Year: 2020 PMID: 33059333 PMCID: PMC8387028 DOI: 10.1088/1758-5090/abc1be
Source DB: PubMed Journal: Biofabrication ISSN: 1758-5082 Impact factor: 9.954