Performing an In Vitro Genome-Wide CRISPR Knockout Screen in Chimeric Antigen Receptor T Cells.

IF 1.2 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES Jove-Journal of Visualized Experiments Pub Date : 2025-01-31 DOI:10.3791/67338
Carli Stewart, Claudia Manriquez Roman, Saad S Kenderian
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Abstract

Chimeric antigen receptor T (CART) cell therapy is an innovative form of targeted immunotherapy that has revolutionized the treatment of cancer. However, the durable response remains limited. Recent studies have shown that the epigenetic landscape of preinfusion CART cell products can influence response to therapy, and gene editing has been proposed as a solution. However, more work needs to be done to determine the optimal gene editing strategy. Genome-wide CRISPR screens have become popular tools to both investigate mechanisms of resistance and optimize gene editing strategies. Yet their application to primary cells presents many challenges. Here we describe a method to complete a genome-wide CRISPR knockout screen in CART cells from healthy donors. As a proof-of-concept model, we designed this method to investigate the development of exhaustion in CART cells targeting the CD19 antigen. However, we believe that this approach can be used to address a variety of mechanisms of resistance to therapy in different CAR constructs and tumor models.

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在嵌合抗原受体 T 细胞中进行体外全基因组 CRISPR 基因敲除筛选。
嵌合抗原受体T (CART)细胞疗法是一种创新的靶向免疫疗法,已经彻底改变了癌症的治疗。然而,持久的反应仍然有限。最近的研究表明,预输注CART细胞产物的表观遗传景观可以影响对治疗的反应,基因编辑已被提出作为一种解决方案。然而,需要做更多的工作来确定最佳的基因编辑策略。全基因组CRISPR筛选已经成为研究耐药性机制和优化基因编辑策略的流行工具。然而,它们在原代细胞中的应用面临许多挑战。在这里,我们描述了一种在健康供者的CART细胞中完成全基因组CRISPR敲除筛选的方法。作为概念验证模型,我们设计了这种方法来研究靶向CD19抗原的CART细胞衰竭的发展。然而,我们相信这种方法可以用于解决不同CAR结构和肿瘤模型中的各种耐药机制。
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来源期刊
Jove-Journal of Visualized Experiments
Jove-Journal of Visualized Experiments MULTIDISCIPLINARY SCIENCES-
CiteScore
2.10
自引率
0.00%
发文量
992
期刊介绍: JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.
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