Protocol for functional screening of CFTR-targeted genetic therapies in patient-derived organoids using DETECTOR deep-learning-based analysis

التفاصيل البيبلوغرافية
العنوان: Protocol for functional screening of CFTR-targeted genetic therapies in patient-derived organoids using DETECTOR deep-learning-based analysis
المؤلفون: Bulcaen, Mattijs, Liu, Ronald B., Gryspeert, Kasper, Thierie, Sam, Ramalho, Anabela S., Vermeulen, François, Casadevall I Solvas, Xavier, Carlon, Marianne S.
المصدر: STAR Protocols; 20250101, Issue: Preprints
مستخلص: Here, we present a protocol for the rapid functional screening of gene editing and addition strategies in patient-derived organoids using the deep-learning-based tool DETECTOR (detection of targeted editing of cystic fibrosis transmembrane conductance regulator [CFTR] in organoids). We describe steps for wet-lab experiments, image acquisition, and CFTR function analysis by DETECTOR. We also detail procedures for applying pre-trained models and training custom models on new customized datasets.
قاعدة البيانات: Supplemental Index
الوصف
تدمد:26661667
DOI:10.1016/j.xpro.2024.103593