T cell immune responses deciphered

T cell immune responses deciphered
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T细胞免疫反应被破译

DOI:
10.1126/science.abq1679
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发表时间:
2022
期刊:
影响因子:
56.9
通讯作者:
Nourmohammad, Armita
Nourmohammad, Armita
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Nourmohammad, Armita

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免疫反应包括抗原识别细胞(如T细胞)和信号分子的协调,以对病原体产生特定的反应。尽管系统免疫学提供了越来越多的涉及抗原特异性免疫反应的分子相互作用清单,但对不同抗原特征如何介导反应的理解仍然缺乏。在这期杂志的880页上,Acharet等人通过使用机器人平台来调查对不同抗原刺激的广泛功能性T细胞反应来解决这个问题。利用机器学习,他们构建了一个简化的地图,将六种不同的抗原依赖性免疫反应区分开来。了解这种抗原编码可以帮助指导免疫治疗,包括设计嵌合抗原受体(CAR) -T细胞和识别疫苗抗原。
An immune response involves a coordinated orchestra of antigen-recognizing cells (e.g., T cells) and signaling molecules to mount a specific response against a pathogen. Although systems immunology offers a growing list of molecular interactions that are involved in antigen-specific immune responses, an understanding of how a response is mediated by different antigen characteristics is still lacking. On page 880 of this issue, Acharet al.address this question by using a robotic platform to survey a broad range of functional T cell responses to different antigen stimulations. Using machine learning, they construct a simplified map that separates six different stereotypical classes of antigen-dependent immune responses. Understanding this antigen-encoding could help guide immunotherapy, including engineering chimeric antigen receptor (CAR)–T cells and identifying vaccine antigens.
分子定量遗传学的普遍性和可预测性
DOI: 10.1101/000406
发表时间: 2013
期刊: bioRxiv
影响因子: --
作者:
Armita Nourmohammad;Torsten Held;M. Lässig
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DOI: 10.1038/s41559-017-0077
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期刊: Science (New York, N.Y.)
影响因子: --
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