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An Automated Organoid Platform with Inter-organoid Homogeneity and Inter-patient Heterogeneity
Current organoid technologies require intensive manual manipulation and lack uniformity in organoid size and cell composition. We present here an automated organoid platform that generates uniform organoid precursors in high-throughput. This is achieved by templating from monodisperse Matrigel dropl...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7762778/ https://www.ncbi.nlm.nih.gov/pubmed/33377132 http://dx.doi.org/10.1016/j.xcrm.2020.100161 |
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author | Jiang, Shengwei Zhao, Haoran Zhang, Weijie Wang, Jiaqi Liu, Yuhong Cao, Yuanxiong Zheng, Honghui Hu, Zhiwei Wang, Shubin Zhu, Yu Wang, Wei Cui, Shuzhong Lobie, Peter E. Huang, Laiqiang Ma, Shaohua |
author_facet | Jiang, Shengwei Zhao, Haoran Zhang, Weijie Wang, Jiaqi Liu, Yuhong Cao, Yuanxiong Zheng, Honghui Hu, Zhiwei Wang, Shubin Zhu, Yu Wang, Wei Cui, Shuzhong Lobie, Peter E. Huang, Laiqiang Ma, Shaohua |
author_sort | Jiang, Shengwei |
collection | PubMed |
description | Current organoid technologies require intensive manual manipulation and lack uniformity in organoid size and cell composition. We present here an automated organoid platform that generates uniform organoid precursors in high-throughput. This is achieved by templating from monodisperse Matrigel droplets and sequentially delivering them into wells using a synchronized microfluidic droplet printer. Each droplet encapsulates a certain number of cells (e.g., 1,500 cells), which statistically represent the heterogeneous cell population in a tumor section. The system produces >400-μm organoids within 1 week with both inter-organoid homogeneity and inter-patient heterogeneity. This enables automated organoid printing to obtain one organoid per well. The organoids recapitulate 97% gene mutations in the parental tumor and reflect the patient-to-patient variation in drug response and sensitivity, from which we obtained more than 80% accuracy among the 21 patients investigated. This organoid platform is anticipated to fulfill the personalized medicine goal of 1-week high-throughput screening for cancer patients. |
format | Online Article Text |
id | pubmed-7762778 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-77627782020-12-28 An Automated Organoid Platform with Inter-organoid Homogeneity and Inter-patient Heterogeneity Jiang, Shengwei Zhao, Haoran Zhang, Weijie Wang, Jiaqi Liu, Yuhong Cao, Yuanxiong Zheng, Honghui Hu, Zhiwei Wang, Shubin Zhu, Yu Wang, Wei Cui, Shuzhong Lobie, Peter E. Huang, Laiqiang Ma, Shaohua Cell Rep Med Article Current organoid technologies require intensive manual manipulation and lack uniformity in organoid size and cell composition. We present here an automated organoid platform that generates uniform organoid precursors in high-throughput. This is achieved by templating from monodisperse Matrigel droplets and sequentially delivering them into wells using a synchronized microfluidic droplet printer. Each droplet encapsulates a certain number of cells (e.g., 1,500 cells), which statistically represent the heterogeneous cell population in a tumor section. The system produces >400-μm organoids within 1 week with both inter-organoid homogeneity and inter-patient heterogeneity. This enables automated organoid printing to obtain one organoid per well. The organoids recapitulate 97% gene mutations in the parental tumor and reflect the patient-to-patient variation in drug response and sensitivity, from which we obtained more than 80% accuracy among the 21 patients investigated. This organoid platform is anticipated to fulfill the personalized medicine goal of 1-week high-throughput screening for cancer patients. Elsevier 2020-12-22 /pmc/articles/PMC7762778/ /pubmed/33377132 http://dx.doi.org/10.1016/j.xcrm.2020.100161 Text en © 2020 The Author(s) 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 Jiang, Shengwei Zhao, Haoran Zhang, Weijie Wang, Jiaqi Liu, Yuhong Cao, Yuanxiong Zheng, Honghui Hu, Zhiwei Wang, Shubin Zhu, Yu Wang, Wei Cui, Shuzhong Lobie, Peter E. Huang, Laiqiang Ma, Shaohua An Automated Organoid Platform with Inter-organoid Homogeneity and Inter-patient Heterogeneity |
title | An Automated Organoid Platform with Inter-organoid Homogeneity and Inter-patient Heterogeneity |
title_full | An Automated Organoid Platform with Inter-organoid Homogeneity and Inter-patient Heterogeneity |
title_fullStr | An Automated Organoid Platform with Inter-organoid Homogeneity and Inter-patient Heterogeneity |
title_full_unstemmed | An Automated Organoid Platform with Inter-organoid Homogeneity and Inter-patient Heterogeneity |
title_short | An Automated Organoid Platform with Inter-organoid Homogeneity and Inter-patient Heterogeneity |
title_sort | automated organoid platform with inter-organoid homogeneity and inter-patient heterogeneity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7762778/ https://www.ncbi.nlm.nih.gov/pubmed/33377132 http://dx.doi.org/10.1016/j.xcrm.2020.100161 |
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