دورية أكاديمية
Drug screening at single-organoid resolution via bioprinting and interferometry
| العنوان: | Drug screening at single-organoid resolution via bioprinting and interferometry |
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| المؤلفون: | Peyton J. Tebon, Bowen Wang, Alexander L. Markowitz, Ardalan Davarifar, Brandon L. Tsai, Patrycja Krawczuk, Alfredo E. Gonzalez, Sara Sartini, Graeme F. Murray, Huyen Thi Lam Nguyen, Nasrin Tavanaie, Thang L. Nguyen, Paul C. Boutros, Michael A. Teitell, Alice Soragni |
| المصدر: | Nature Communications, Vol 14, Iss 1, Pp 1-16 (2023) |
| بيانات النشر: | Nature Portfolio, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Science |
| مصطلحات موضوعية: | Science |
| الوصف: | Abstract High throughput drug screening is an established approach to investigate tumor biology and identify therapeutic leads. Traditional platforms use two-dimensional cultures which do not accurately reflect the biology of human tumors. More clinically relevant model systems such as three-dimensional tumor organoids can be difficult to scale and screen. Manually seeded organoids coupled to destructive endpoint assays allow for the characterization of treatment response, but do not capture transitory changes and intra-sample heterogeneity underlying clinically observed resistance to therapy. We present a pipeline to generate bioprinted tumor organoids linked to label-free, time-resolved imaging via high-speed live cell interferometry (HSLCI) and machine learning-based quantitation of individual organoids. Bioprinting cells gives rise to 3D structures with unaltered tumor histology and gene expression profiles. HSLCI imaging in tandem with machine learning-based segmentation and classification tools enables accurate, label-free parallel mass measurements for thousands of organoids. We demonstrate that this strategy identifies organoids transiently or persistently sensitive or resistant to specific therapies, information that could be used to guide rapid therapy selection. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2041-1723 87278049 |
| Relation: | https://doaj.org/toc/2041-1723 |
| DOI: | 10.1038/s41467-023-38832-8 |
| URL الوصول: | https://doaj.org/article/cdb49d87278049f08e97471afd0ff5af |
| رقم الأكسشن: | edsdoj.b49d87278049f08e97471afd0ff5af |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 20411723 87278049 |
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| DOI: | 10.1038/s41467-023-38832-8 |