人诱导多能干细胞衍生嵌合抗原受体表达自然杀伤细胞的研究进展。

IF 1.2 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES
Jaya Lakshmi Thangaraj, Dan S Kaufman
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引用次数: 0

摘要

自然杀伤细胞(NK)是先天免疫细胞,在人体防御肿瘤和病毒感染中起着至关重要的作用。表达NK细胞的人类诱导多能干细胞(iPSC)衍生的嵌合抗原受体(CAR)已成为一种有希望的“现成”癌症免疫治疗途径。在这里,我们利用NK细胞优化的CAR结构,包括NKG2D的跨膜结构域,2B4共刺激结构域和CD3ζ信号结构域,这已被证明可以刺激强大的抗原特异性NK细胞介导的抗肿瘤活性。使用iPSCs生成CAR - NK细胞具有几个优势,包括CAR均质表达、可扩展性、可重复性和临床应用潜力。从细胞工程到分化,这个详细的一步一步的方案能够产生NK细胞优化的ipsc衍生的car表达NK细胞,提供具有提高抗肿瘤活性的标准化和靶向癌症免疫治疗,并突出其作为各种恶性肿瘤的有希望的治疗选择的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advances in Human Induced Pluripotent Stem Cell-Derived Chimeric Antigen Receptor-Expressing Natural Killer Cells.

Natural killer (NK) cells are innate immune cells that play a crucial role in the body's defense against tumors and viral infections. The generation of human induced pluripotent stem cell (iPSC)-derived chimeric antigen receptor (CAR) expressing NK cells has emerged as a promising avenue for "off the shelf" cancer immunotherapy. Here, we utilized an NK cell-optimized CAR construct that includes the transmembrane domain of NKG2D, the 2B4 co-stimulatory domain, and the CD3ζ signaling domain, which has been demonstrated to stimulate robust antigen-specific NK cell-mediated antitumor activity. The use of iPSCs for CAR NK cell generation offers several advantages, including homogenous CAR expression, scalability, reproducibility, and the potential for clinical application. This detailed step-by-step protocol from cell engineering to differentiation enables the generation of NK cell-optimized iPSC-derived CAR-expressing NK cells, providing a standardized and targeted cancer immunotherapy with improved antitumor activity and highlighting their potential as a promising treatment option for various malignancies.

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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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