生物
免疫系统
免疫
细胞
肺
免疫学
转录组
仓鼠
肺炎
CD8型
单细胞分析
细胞生物学
计算生物学
医学
分子生物学
基因
遗传学
内科学
基因表达
作者
Boyi Cong,Xuan Dong,Zongheng Yang,Pin Yü,Yangyang Chai,Jiaqi Liu,Meihan Zhang,Yupeng Zang,Jingmin Kang,Yu Feng,Yi Liu,Weimin Feng,Dehe Wang,Wei Deng,Fengdi Li,Zhiqi Song,Ziqiao Wang,Xiaosu Chen,Hua Qin,Qinyi Yu
标识
DOI:10.1038/s41421-024-00733-5
摘要
How immune cells are spatiotemporally coordinated in the lung to effectively monitor, respond to, and resolve infection and inflammation in primed form needs to be fully illustrated. Here we apply immunocartography, a high-resolution technique that integrates spatial and single-cell RNA sequencing (scRNA-seq) through deconvolution and co-localization analyses, to the SARS-CoV-2-infected Syrian hamster model. We generate a comprehensive transcriptome map of the whole process of pulmonary infection from physiological condition, infection initiation, severe pneumonia to natural recovery at organ scale and single-cell resolution, with 142,965 cells and 45 lung lobes from 25 hamsters at 5 time points. Integrative analysis identifies that alveolar dendritic cell-T cell immunity hubs, where Ccr7
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