TCRcloud:T细胞和B细胞受体转录的全球可视化工具
Eric de Sousa1, Joana R Lérias1, Carolina M Gorgulho1
1Immunotherapy/ImmunoSurgery Laboratory and Cell Center, Champalimaud Centre for the Unknown, Avenida Brasília, Lisbon, 1400-038, Portugal.
Journal of translational medicine
|February 7, 2026
概括
TCRcloud是一个新的开源平台,用于可视化T细胞受体 (TCR) 和B细胞受体 (BCR) 多样性. 它有助于通过可视化患者的TCR剧目变化来分析对癌症免疫疗法的免疫反应.
科学领域:
- 免疫学 免疫学 免疫学
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 深度T细胞受体 (TCR) 测序分析临床样本中的TCR谱,以了解免疫反应.
- 克隆T细胞扩张可以是抗原驱动的,也可以是由于在抗癌免疫期间旁观者激活.
- 现有的TCR组合分析工具缺乏直观可视化功能.
研究的目的:
- 推出TCRcloud,这是一个开放式访问平台,用于可视化细胞免疫反应中的TCR多样性.
- 为了解决对TCR变化的直观可视化需求,例如克隆替代,以应对免疫检查点抑制剂 (ICI) 等疗法.
- 分析胰腺癌患者的现实数据,以证明TCR和B细胞受体 (BCR) 动态.
主要方法:
- 开发了TCRcloud,这是一个与适应性免疫受体目录 (AIRR) 标准兼容的开源计算工具,用于TCR和BCR数据.
- 利用公开的数据集,将TCR组成与ICI治疗的临床反应联系起来.
- 应用TCRcloud可视化三名胰腺癌患者血液和瘤组织的TCR和BCR数据.
主要成果:
- TCRcloud检查TCR数据仓库的模式,如CDR3长度,独特的转录,融合和各种多样性指数 (D50,Gini,Shannon,Gini-Simpson,Chao1) 等.
- 该平台可视化了TCR和BCRCDR3区域的氨基酸使用情况.
- 证明CDR3 TCR数据集中的分子变化与癌症患者的临床反应相关,以及胰腺癌患者样本中的可视化动态.
结论:
- TCRcloud提供了分子TCR组合和曲目测量的直观可视化.
- 该平台将多个TCR指数集成到一个单一的雷达图表中,用于全面分析.
- TCRcloud 便于可视化 V 基因使用和 CDR3 氨基酸频率,从而能够直观地理解 TCR 和 BCR 组成的变化,以应对免疫疗法.
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