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A matrigel-free method to generate matured human cerebral organoids using 3D-Printed microwell arrays
The current methods of generating human cerebral organoids rely excessively on the use of Matrigel or other external extracellular matrices (ECM) for cell micro-environmental modulation. Matrigel embedding is problematic for long-term culture and clinical applications due to high inconsistency and o...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
KeAi Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577195/ https://www.ncbi.nlm.nih.gov/pubmed/33134606 http://dx.doi.org/10.1016/j.bioactmat.2020.10.003 |
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author | Chen, Cheng Rengarajan, Venkatakrishnan Kjar, Andrew Huang, Yu |
author_facet | Chen, Cheng Rengarajan, Venkatakrishnan Kjar, Andrew Huang, Yu |
author_sort | Chen, Cheng |
collection | PubMed |
description | The current methods of generating human cerebral organoids rely excessively on the use of Matrigel or other external extracellular matrices (ECM) for cell micro-environmental modulation. Matrigel embedding is problematic for long-term culture and clinical applications due to high inconsistency and other limitations. In this study, we developed a novel microwell culture platform based on 3D printing. This platform, without using Matrigel or external signaling molecules (i.e., SMAD and Wnt inhibitors), successfully generated matured human cerebral organoids with robust formation of high-level features (i.e., wrinkling/folding, lumens, neuronal layers). The formation and timing were comparable or superior to the current Matrigel methods, yet with improved consistency. The effect of microwell geometries (curvature and resolution) and coating materials (i.e., mPEG, Lipidure, BSA) was studied, showing that mPEG outperformed all other coating materials, while curved-bottom microwells outperformed flat-bottom ones. In addition, high-resolution printing outperformed low-resolution printing by creating faithful, isotropically-shaped microwells. The trend of these effects was consistent across all developmental characteristics, including EB formation efficiency and sphericity, organoid size, wrinkling index, lumen size and thickness, and neuronal layer thickness. Overall, the microwell device that was mPEG-coated, high-resolution printed, and bottom curved demonstrated the highest efficacy in promoting organoid development. This platform provided a promising strategy for generating uniform and mature human cerebral organoids as an alternative to Matrigel/ECM-embedding methods. |
format | Online Article Text |
id | pubmed-7577195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | KeAi Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-75771952020-10-30 A matrigel-free method to generate matured human cerebral organoids using 3D-Printed microwell arrays Chen, Cheng Rengarajan, Venkatakrishnan Kjar, Andrew Huang, Yu Bioact Mater Article The current methods of generating human cerebral organoids rely excessively on the use of Matrigel or other external extracellular matrices (ECM) for cell micro-environmental modulation. Matrigel embedding is problematic for long-term culture and clinical applications due to high inconsistency and other limitations. In this study, we developed a novel microwell culture platform based on 3D printing. This platform, without using Matrigel or external signaling molecules (i.e., SMAD and Wnt inhibitors), successfully generated matured human cerebral organoids with robust formation of high-level features (i.e., wrinkling/folding, lumens, neuronal layers). The formation and timing were comparable or superior to the current Matrigel methods, yet with improved consistency. The effect of microwell geometries (curvature and resolution) and coating materials (i.e., mPEG, Lipidure, BSA) was studied, showing that mPEG outperformed all other coating materials, while curved-bottom microwells outperformed flat-bottom ones. In addition, high-resolution printing outperformed low-resolution printing by creating faithful, isotropically-shaped microwells. The trend of these effects was consistent across all developmental characteristics, including EB formation efficiency and sphericity, organoid size, wrinkling index, lumen size and thickness, and neuronal layer thickness. Overall, the microwell device that was mPEG-coated, high-resolution printed, and bottom curved demonstrated the highest efficacy in promoting organoid development. This platform provided a promising strategy for generating uniform and mature human cerebral organoids as an alternative to Matrigel/ECM-embedding methods. KeAi Publishing 2020-10-20 /pmc/articles/PMC7577195/ /pubmed/33134606 http://dx.doi.org/10.1016/j.bioactmat.2020.10.003 Text en © 2020 The Authors. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Chen, Cheng Rengarajan, Venkatakrishnan Kjar, Andrew Huang, Yu A matrigel-free method to generate matured human cerebral organoids using 3D-Printed microwell arrays |
title | A matrigel-free method to generate matured human cerebral organoids using 3D-Printed microwell arrays |
title_full | A matrigel-free method to generate matured human cerebral organoids using 3D-Printed microwell arrays |
title_fullStr | A matrigel-free method to generate matured human cerebral organoids using 3D-Printed microwell arrays |
title_full_unstemmed | A matrigel-free method to generate matured human cerebral organoids using 3D-Printed microwell arrays |
title_short | A matrigel-free method to generate matured human cerebral organoids using 3D-Printed microwell arrays |
title_sort | matrigel-free method to generate matured human cerebral organoids using 3d-printed microwell arrays |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577195/ https://www.ncbi.nlm.nih.gov/pubmed/33134606 http://dx.doi.org/10.1016/j.bioactmat.2020.10.003 |
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