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一种筛选重链抗体肿瘤特异性可变结构域的新策略。

A Novel Strategy for Screening Tumor-Specific Variable Domain of Heavy-Chain Antibodies.

机构信息

Graduate School of Science and Engineering, University of Kagoshima, Kagoshima 890-0065, Japan.

Graduate School of Medical Sciences, Tottori University, Tottori 680-8550, Japan.

出版信息

Int J Mol Sci. 2023 Jun 28;24(13):10804. doi: 10.3390/ijms241310804.

Abstract

The properties of the variable domain of heavy-chain (VHH) antibodies are particularly relevant in cancer therapy. To isolate tumor cell-specific VHH antibodies, VHH phage libraries were constructed from multiple tumor cells. After enriching the libraries against particular tumor cell lines, a next-generation sequencer was used to screen the pooled phages of each library for potential antibody candidates. Based on high amplification folds, 50 sequences from each library were used to construct phylogenetic trees. Several clusters with identical CDR3 were observed. Groups X, Y, and Z were assigned as common sequences among the different trees. These identical groups over the trees were considered to be cross-reactive antibodies. To obtain monoclonal antibodies, we assembled 200 sequences (top 50 sequences from each library) and rebuilt a combined molecular phylogenetic tree. Groups were categorized as A-G. For each group, we constructed a phagemid and determined its binding specificity with tumor cells. The phage-binding results were consistent with the phylogenetic tree-generated groups, which indicated particular tumor-specific clusters; identical groups showed cross-reactivity. The strategy used in the current study is effective for screening and isolating monoclonal antibodies. Specific antibodies can be identified, even when the target markers of cancer cells are unknown.

摘要

重链可变区 (VHH) 抗体的特性在癌症治疗中尤为重要。为了分离肿瘤细胞特异性的 VHH 抗体,我们从多种肿瘤细胞中构建了 VHH 噬菌体文库。在针对特定肿瘤细胞系进行文库富集后,我们使用下一代测序仪对每个文库的混合噬菌体进行筛选,以寻找潜在的抗体候选物。基于高扩增倍数,我们从每个文库中选择了 50 个序列来构建系统发育树。观察到一些具有相同 CDR3 的聚类。X、Y 和 Z 组被分配为不同树之间的共有序列。这些跨越多个树的相同聚类被认为是交叉反应性抗体。为了获得单克隆抗体,我们组装了 200 个序列(每个文库的前 50 个序列)并重新构建了一个组合分子系统发育树。将这些序列分为 A-G 组。对于每个组,我们构建了一个噬菌粒并确定了它与肿瘤细胞的结合特异性。噬菌体结合结果与基于系统发育树生成的组一致,表明存在特定的肿瘤特异性聚类;相同的聚类显示出交叉反应性。本研究中使用的策略对于筛选和分离单克隆抗体是有效的。即使不知道癌细胞的靶标标志物,也可以鉴定出特异性抗体。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48fe/10341490/5ec728f77001/ijms-24-10804-g001.jpg

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