CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:CDR grafting and site-directed mutagenesis approach for the generation and affinity maturation of Anti-CD20 nanobody.
CDR grafting and site-directed mutagenesis approach for the generation and affinity maturation of Anti-CD20 nanobody.
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本研究采用的方法使得无需大量筛选工作即可创建具有不同亲和力的多种抗 CD20 纳米抗体。此外,我们的研究证明,计算工具在设计功能性纳米抗体方面高度可靠。
近年来,新的先进技术已被用于设计和生产纳米抗体,这些纳米抗体用于诊断和免疫治疗。传统上,纳米抗体制备自需要动物处理的骆驼科免疫文库。然而,此类方法需要大文库容量和复杂的筛选程序。本研究采用CDR移植和定点诱变技术,创建了针对肿瘤标志物CD20的基因工程纳米抗体(抗CD20纳米抗体),用于白血病治疗。
在本研究中,我们利用swap方法将VH Rituximab抗体的CDR移植到VHH CDR上。我们旨在通过替换VHH-CDR3中的氨基酸(Y101R-Y102R-Y107R)来增强纳米抗体的结合亲和力。为了评估突变纳米抗体的结合能力,我们进行了ELISA测试。此外,通过流式细胞术分析,我们将移植的CD20和突变纳米抗体在Raji细胞中的荧光强度与市售人抗CD20进行了比较。结果显示,与市售人抗CD20相比,移植纳米抗体和突变纳米抗体的荧光强度存在显著差异。
Recently, new and advanced techniques have been adopted to design and produce nanobodies, which are used in diagnostic and immunotherapy treatments. Traditionally, nanobodies are prepared from camelid immune libraries that require animal treatments. However, such approaches require large library sizes and complicated selection procedures. The current study has employed CDR grafting and site-directed mutagenesis techniques to create genetically engineered nanobodies against the tumor marker CD20 (anti-CD20 nanobodies) used in leukemia treatment. METHODS AND RESULTS: In this study, we utilized the swapping method to graft CDRs from the VH Rituximab antibody to VHH CDRs. We aimed to enhance the binding affinity of the nanobodies by substituting the amino acids (Y101R-Y102R-Y107R) in the VHH-CDR3. To assess the binding capacity of the mutated nanobodies, we conducted an ELISA test. Moreover, through flow cytometry analysis, we compared the fluorescence intensity of the grafted CD20 and mutant nanobodies with that of the commercially available human anti-CD20 in Raji cells. The results showed a significant difference in the fluorescence intensity of the grafted nanobodies and mutant nanobodies when compared to the commercially available human anti-CD20.
The approach we followed in this study makes it possible to create multiple anti-CD20 nanobodies with varying affinities without the need for extensive selection efforts. Additionally, our research has demonstrated that computational tools are highly reliable in designing functional nanobodies.
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