转录组
生物
基因表达谱
计算生物学
仿形(计算机编程)
细胞
单细胞分析
细胞生物学
免疫学
遗传学
基因表达
基因
计算机科学
操作系统
作者
Xuemei Xie,Qiang Shi,Peng Wu,Xiaoyu Zhang,Hiroto Kambara,Jiayu Su,Hongbo Yu,Shin‐Young Park,Rongxia Guo,Qian Ren,Sudong Zhang,Yuanfu Xu,Leslie E. Silberstein,Tao Cheng,Fengxia Ma,Cheng Li,Hongbo R. Luo
出处
期刊:Nature Immunology
[Springer Nature]
日期:2020-07-27
卷期号:21 (9): 1119-1133
被引量:496
标识
DOI:10.1038/s41590-020-0736-z
摘要
The full neutrophil heterogeneity and differentiation landscape remains incompletely characterized. Here, we profiled >25,000 differentiating and mature mouse neutrophils using single-cell RNA sequencing to provide a comprehensive transcriptional landscape of neutrophil maturation, function and fate decision in their steady state and during bacterial infection. Eight neutrophil populations were defined by distinct molecular signatures. The three mature peripheral blood neutrophil subsets arise from distinct maturing bone marrow neutrophil subsets. Driven by both known and uncharacterized transcription factors, neutrophils gradually acquire microbicidal capability as they traverse the transcriptional landscape, representing an evolved mechanism for fine-tuned regulation of an effective but balanced neutrophil response. Bacterial infection reprograms the genetic architecture of neutrophil populations, alters dynamic transitions between subpopulations and primes neutrophils for augmented functionality without affecting overall heterogeneity. In summary, these data establish a reference model and general framework for studying neutrophil-related disease mechanisms, biomarkers and therapeutic targets at single-cell resolution.
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