Single-cell transcriptome profiling reveals neutrophil heterogeneity in homeostasis and infection

被引:0
|
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
机构
[1] Chinese Academy of Medical Sciences and Peking Union Medical College,The State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology and Blood Diseases Hospital
[2] Harvard Medical School,Department of Pathology
[3] Boston Children’s Hospital,Department of Laboratory Medicine, The Stem Cell Program
[4] Dana-Farber/Harvard Cancer Center,School of Life Sciences, Center for Bioinformatics, Center for Statistical Science
[5] Peking University,Department of Pathology and Laboratory Medicine
[6] VA Boston Healthcare System,Department of Pathology
[7] Brigham and Women’s Hospital and Harvard Medical School,undefined
来源
Nature Immunology | 2020年 / 21卷
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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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页码:1119 / 1133
页数:14
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