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

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

PROVIDER: PRJNA565803 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR10127223_1.fastq.gz	Fastqsanger.gz
	SRR10127223_2.fastq.gz	Fastqsanger.gz
	SRR10127224_1.fastq.gz	Fastqsanger.gz
	SRR10127224_2.fastq.gz	Fastqsanger.gz
	SRR10127225_1.fastq.gz	Fastqsanger.gz

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

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

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

Project description:The full neutrophil heterogeneity and differentiation landscape remains incompletely characterized. Here we profiled more than 25,000 mouse differentiating and mature 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 (including the GMP population) were defined by distinct molecular signatures, including a new circulating mature neutrophil population highly expressing interferon-stimulated genes. The three mature peripheral blood neutrophil subsets arise from distinct maturing bone marrow neutrophil subsets, a novel mechanism that highlights the complex and precise regulation of neutrophil production. Neutrophil heterogeneity and differentiation are driven by both known and uncharacterized transcription factors. Neutrophils gradually acquire microbicidal capability as cells 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 population, alters dynamic transition between each subpopulation, and primes neutrophils for augmented functionality without affecting overall heterogeneity. Bacterial infection-induced emergency granulopoiesis is mediated by augmented proliferation of early-stage neutrophil progenitors and accelerated post-mitotic maturation. In summary, single-cell transcriptomics enabled the reconstruction of neutrophil differentiation and maturation trajectories and uncovered neutrophil subpopulations, gene pathways, and regulators of neutrophil function and fate decisions. 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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Single-cell transcriptome profiling reveals neutrophil heterogeneity in homeostasis and infection.

Project description: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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