重编程工程化自体 T 细胞以克服 Merkel 细胞癌患者的耐药性
Reprogramming engineered autologous T cells to overcome resistance in patients with Merkel cell carcinoma.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:An efficient method to identify virus-specific TCRs for TCR-T cell immunotherapy against virus-associated malignancies.
An efficient method to identify virus-specific TCRs for TCR-T cell immunotherapy against virus-associated malignancies.
分数与星级只用于站内排序 —— 不代表疗效、安全性或个人适用性。
采用基因工程改造的T细胞受体(TCR)进行T细胞过继转移是一种有前景的癌症治疗方式,但其需要鉴定具有良好特性的TCR。大多数T细胞克隆方法涉及严格的单细胞分选过程,这要么需要繁琐的手工操作,要么成本高昂。我们提出了一种基于现有技术的高效且非严格的克隆方法。我们假设,在消除大多数非特异性T细胞后,一种高质量的克隆型能够胜过其他克隆型,并最终形成优势群体。这种TCR鉴定方法可用于从癌症患者中高效克隆病毒特异性TCR,并且易于被任何实验室采用。
Adoptive transfer of T cells genetically engineered with a T cell receptor (TCR) is a promising cancer treatment modality that requires the identification of TCRs with good characteristics. Most T cell cloning methods involve a stringent singularization process, which necessitates either tedious hands-on operations or high cost.
We present an efficient and nonstringent cloning approach based on existing techniques.
We hypothesize that after elimination of most nonspecific T cells, a clonotype with high quality could outcompete other clonotypes and finally form a predominant population. This TCR identification method can be used to clone virus-specific TCRs efficiently from cancer patients and is easily adoptable by any laboratory.
在 PubMed 查看 → 出版商原文(DOI) 全文 PDF(PMC)· 可下载 治疗专题与资料阅读指南 资料来源与翻译说明 报告译文或资料问题 →
MEMBER ACCOUNT
登录成功会直接打开下一页。