设定值
生物
免疫系统
人口
免疫学
病毒学
细胞
计算生物学
遗传学
环境卫生
计算机科学
医学
人工智能
作者
Matthew P. Mulè,Andrew J. Martins,Foo Cheung,Rohit Farmer,Brian A. Sellers,Juan Quiel,Arjun Jain,Yuri Kotliarov,Neha Bansal,Jinguo Chen,Pamela L. Schwartzberg,John S. Tsang
出处
期刊:Immunity
[Elsevier]
日期:2024-05-01
卷期号:57 (5): 1160-1176.e7
被引量:4
标识
DOI:10.1016/j.immuni.2024.04.009
摘要
Highlights•A framework for integrating human population and single-cell immune response variations•AS03 induces unique B cell survival and innate-sensing and activation states•Baseline immune setpoints are encoded as correlated networks of cell states•A high-responder baseline setpoint phenocopies cell states induced by AS03SummaryMultimodal single-cell profiling methods can capture immune cell variations unfolding over time at the molecular, cellular, and population levels. Transforming these data into biological insights remains challenging. Here, we introduce a framework to integrate variations at the human population and single-cell levels in vaccination responses. Comparing responses following AS03-adjuvanted versus unadjuvanted influenza vaccines with CITE-seq revealed AS03-specific early (day 1) response phenotypes, including a B cell signature of elevated germinal center competition. A correlated network of cell-type-specific transcriptional states defined the baseline immune status associated with high antibody responders to the unadjuvanted vaccine. Certain innate subsets in the network appeared "naturally adjuvanted," with transcriptional states resembling those induced uniquely by AS03-adjuvanted vaccination. Consistently, CD14+ monocytes from high responders at baseline had elevated phospho-signaling responses to lipopolysaccharide stimulation. Our findings link baseline immune setpoints to early vaccine responses, with positive implications for adjuvant development and immune response engineering.Graphical abstract
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