4.7 Article

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

Journal

NATURE IMMUNOLOGY
Volume 21, Issue 9, Pages 1119-+

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41590-020-0736-z

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Funding

  1. Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences [2017-I2M-1-015, 2016-I2M-1-017, 2016-12M-1-003]
  2. Non-profit Central Research Institute Fund of the Chinese Academy of Medical Sciences [2018RC31002, 2018PT32034, 2017PT31033]
  3. National Natural Science Foundation of China [31871266, 81970107, 81421002]
  4. Natural Science Foundation of Tianjin City [18JCYBJC25700]
  5. Chinese National Key Projects of Research and Development [2016YFA0100103]
  6. NSFC [71532001]
  7. National Institutes of Health [1 R01 AI142642, 1 R01 AI145274, 1 R01 AI141386, R01HL092020, P01 HL095489]
  8. FAMRI [CIA 123008]

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Luo and colleagues use 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. 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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