Direct transfection of clonal organoids in Matrigel microbeads: a promising approach toward organoid-based genetic screens

被引:38
作者
Laperrousaz, Bastien [1 ]
Porte, Stephanie [1 ]
Gerbaud, Sophie [1 ]
Harma, Ville [1 ]
Kermarrec, Frederique [1 ]
Hourtane, Virginie [2 ]
Bottausci, Frederic [2 ]
Gidrol, Xavier [1 ]
Picollet-D'hahan, Nathalie [1 ]
机构
[1] Univ Grenoble Alpes, BIG BGE, INSERM, CEA, F-38000 Grenoble, France
[2] Univ Grenoble Alpes, LETI, CEA, F-38000 Grenoble, France
关键词
3-DIMENSIONAL CULTURE MODELS; EPITHELIAL-CELLS; 3D CULTURE; PROSTATE-CANCER; TUMOR SPHEROIDS; DELIVERY; TISSUE; ELECTROPORATION; SIRNA; PTEN;
D O I
10.1093/nar/gky030
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Organoid cultures in 3D matrices are relevant models to mimic the complex in vivo environment that supports cell physiological and pathological behaviors. For instance, 3D epithelial organoids recapitulate numerous features of glandular tissues including the development of fully differentiated acini that maintain apico-basal polarity with hollow lumen. Effective genetic engineering in organoids would bring new insights in organogenesis and carcinogenesis. However, direct 3D transfection on already formed organoids remains challenging. One limitation is that organoids are embedded in extracellular matrix and grow into compact structures that hinder transfection using traditional techniques. To address this issue, we developed an innovative approach for transgene expression in 3D organoids by combining single-cell encapsulation in Matrigel microbeads using a microfluidic device and electroporation. We demonstrate that direct electroporation of encapsulated organoids reaches up to 80% of transfection efficiency. Using this technique and a morphological read-out that recapitulate the different stages of tumor development, we further validate the role of p63 and PTEN as key genes in acinar development in breast and prostate tissues. We believe that the combination of controlled organoid generation and efficient 3D transfection developed here opens new perspectives for flow-based high-throughput genetic screening and functional genomic applications.
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页数:13
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