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Budget-Friendly Generation, Biochemical Analyses, and Lentiviral Transduction of Patient-Derived Colon Organoids

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Résumé

For the past decade, three-dimensional (3D) culture models have been emerging as powerful tools in translational research to overcome the limitations of two-dimensional cell culture models. Thanks to their ability to recapitulate the phenotypic and molecular heterogeneity found in numerous organs, organoids have been used to model a broad range of tumors, such as colorectal cancer. Several approaches to generate organoids exist, with protocols using either pluripotent stem cells, embryonic stem cells, or organ-restricted adult stem cells found in primary tissues, such as surgical resections as starting material. The latter, so-called patient-derived organoids (PDOs), have shown their robustness in predicting patient drug responses compared to other models. Because of their origin, PDOs are natural offspring of the patient tumor or healthy surrounding tissue, and therefore, have been increasingly used to develop targeted drugs and personalized therapies. Here, we present a new protocol to generate patient-derived colon organoids (PDCOs) from tumor and healthy tissue biopsies. We emphasize budget-friendly and reproducible techniques, which are often limiting factors in this line of research that restrict the development of this 3D-culture model to a small number of laboratories worldwide. Accordingly, we describe efficient and cost-effective techniques to achieve immunoblot and high-resolution microscopy on PDCOs. Finally, a novel strategy of lentiviral transduction of PDCOs, which could be applied to all organoid models, is detailed in this article.

langue originaleAnglais
Numéro d'articlee943
journalCurrent Protocols
Volume3
Numéro de publication12
Les DOIs
Etat de la publicationPublié - déc. 2023

Financement

We would like to acknowledge the following people or entities for providing experimental and technical help: Hortence Paré and the CHU UCL Mont-Godinne, especially Morgane Canonne. J.-W.C. is supported by ProtherWal project funded by the Walloon Region (Belgium). H.-F.R. is supported by a Start-Up Grant Collen-Francqui from Francqui Foundation (Belgium) and an Incentive Grant for Scientific Research from the Fonds de la Recherche Scientifique (FNRS, MIS-F.4540.21). N.Z. received a grant from “Covid impact: support for postdocs (2021-2022) from the Wallonia-Brussels Federation” (Belgium). Workflow diagrams were produced with BioRender software. Microscopy images were treated and/or quantified using Fiji software (fji-win64). Bar graphs were generated with GraphPad Prism software (Prism9). We would like to acknowledge the following people or entities for providing experimental and technical help: Hortence Paré and the CHU UCL Mont‐Godinne, especially Morgane Canonne. J.‐W.C. is supported by ProtherWal project funded by the Walloon Region (Belgium). H.‐F.R. is supported by a Start‐Up Grant Collen‐Francqui from Francqui Foundation (Belgium) and an Incentive Grant for Scientific Research from the Fonds de la Recherche Scientifique (FNRS, MIS‐F.4540.21). N.Z. received a grant from “Covid impact: support for postdocs (2021‐2022) from the Wallonia‐Brussels Federation” (Belgium). Workflow diagrams were produced with BioRender software. Microscopy images were treated and/or quantified using Fiji software (fji‐win64). Bar graphs were generated with GraphPad Prism software (Prism9).

Bailleurs de fondsNuméro du bailleur de fonds
CHU UCL Namur
Francqui Foundation
Wallonia-Brussels Federationfji-win64
Wallonia-Brussels Federation
Région Walonne
Fonds de la Recherche Scientifique F.R.S.-FNRS2021‐2022, MIS‐F.4540.21

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