PUBLICATION

Infection-experienced HSPCs protect against infections by generating neutrophils with enhanced mitochondrial bactericidal activity

Authors
Darroch, H., Keerthisinghe, P., Sung, Y.J., Rolland, L., Prankerd-Gough, A., Crosier, P.S., Astin, J.W., Hall, C.J.
ID
ZDB-PUB-230907-53
Date
2023
Source
Science advances   9: eadf9904eadf9904 (Journal)
Registered Authors
Astin, Jonathan, Crosier, Phil, Darroch, Hannah, Hall, Chris, Keerthisinghe, Pramuk, Rolland, Leah, Sung, Yih Jian
Keywords
none
Datasets
GEO:GSE217064
MeSH Terms
  • Animals
  • Anti-Bacterial Agents
  • Gene Expression Profiling
  • Mitochondria
  • Neutrophils*
  • Zebrafish*
PubMed
37672586 Full text @ Sci Adv
Abstract
Hematopoietic stem and progenitor cells (HSPCs) respond to infection by proliferating and generating in-demand neutrophils through a process called emergency granulopoiesis (EG). Recently, infection-induced changes in HSPCs have also been shown to underpin the longevity of trained immunity, where they generate innate immune cells with enhanced responses to subsequent microbial threats. Using larval zebrafish to live image neutrophils and HSPCs, we show that infection-experienced HSPCs generate neutrophils with enhanced bactericidal functions. Transcriptomic analysis of EG neutrophils uncovered a previously unknown function for mitochondrial reactive oxygen species in elevating neutrophil bactericidal activity. We also reveal that driving expression of zebrafish C/EBPβ within infection-naïve HSPCs is sufficient to generate neutrophils with similarly enhanced bactericidal capacity. Our work suggests that this demand-adapted source of neutrophils contributes to trained immunity by providing enhanced protection toward subsequent infections. Manipulating demand-driven granulopoiesis may provide a therapeutic strategy to boost neutrophil function and treat infectious disease.
Genes / Markers
Figures
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Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Antibodies
Orthology
Engineered Foreign Genes
Mapping