基于白痴细胞驱动的T细胞/B细胞协作,使用B细胞受体谱序列在传染病中预测T细胞位
Yukio Nakamura1, Meng Ling Moi2, Takashi Shiina3
1Repertoire Genesis Inc., Osaka 567-0085, Japan.
Viruses
|May 27, 2023
概括
我们开发了一种新的方法,通过分析B细胞受体序列来识别T细胞表位. 这种方法有助于理解自适应性免疫反应,并控制T细胞免疫力对抗登革热和SARS-CoV-2等病毒感染.
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:
- 对抗原表位的T细胞识别对于适应性免疫至关重要.
- 现有的T细胞表位预测工具经常忽视T细胞受体 (TCR) 相互作用.
- 愚蠢的网络理论表明,抗原和反愚蠢型抗体之间存在分子模仿.
研究的目的:
- 开发一种通过分析B细胞受体 (BCR) 序列来识别T细胞表位的新方法.
- 克服目前预测方法的局限性,这些方法仅专注于主要基因相容性复合体 (MHC) 呈现.
- 为了探索TCR识别的表位动机 (TREMs) 进行表位发现.
主要方法:
- 通过分析BCR序列,定义了TCR识别的表位图案 (TREM).
- 开发了一种结合BCR序列分析与TREM模式识别的计算方法.
- 应用了该方法来识别登革热和SARS-CoV-2感染中的病毒抗原序列中的T细胞表位.
主要成果:
- 在BCR和病毒抗原之间识别了具有保存TREM模式的T细胞表位.
- 成功识别出已知的T细胞表位体,用于登革热病毒和SARS-CoV-2.
- 证实了已识别的表位的T细胞刺激性免疫性.
结论:
- 开发的方法通过分析BCR序列有效地发现T细胞表位.
- 这种方法为了解免疫反应和控制T细胞免疫提供了一个强大的工具.
- 这些发现支持TREM分析在BCR序列中的实用性,用于表位发现.
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