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Multi-omics analysis identifies erythroid cells as the major immunoregulatory population in mouse placentas

ABSTRACT: Multi-omics analysis identifies erythroid cells as the major immunoregulatory population in mouse placentas

PROVIDER: PRJNA1221857 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR32293629_1.fastq.gz	Fastqsanger.gz
	SRR32293629_2.fastq.gz	Fastqsanger.gz
	SRR32293630_1.fastq.gz	Fastqsanger.gz
	SRR32293630_2.fastq.gz	Fastqsanger.gz
	SRR32293631_1.fastq.gz	Fastqsanger.gz

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Multi-omics analysis identifies erythroid cells as the major immunoregulatory population in mouse placentas [Spatial Transcriptomics]

Project description:Pregnancy is one of the most important processes for mammals, which is deeply controlled by the immune system. We performed spatial transcriptomics to profile mouse placentas from semi-allogeneic and syngeneic pregnancies at E12.5 to elucidate differences between these types of pregnancies. Our analysis showed that erythroid cells were the major immunoregulatory population in both types of pregnancies.

2025-05-01 | GSE289170 | GEO

Multi-omics analysis identifies erythroid cells as the major immunoregulatory population in mouse placentas [Nanostring]

Project description:Multi-omics analysis identifies erythroid cells as the major immunoregulatory population in mouse placentas [Nanostring]

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Multi-omics analysis identifies erythroid cells as the major immunoregulatory population in mouse placentas [Spatial Transcriptomics]

Project description:Multi-omics analysis identifies erythroid cells as the major immunoregulatory population in mouse placentas [Spatial Transcriptomics]

| PRJNA1221850 | ENA

Multi-omics analysis identifies erythroid cells as the major immunoregulatory population in mouse placentas [Nanostring]

Project description:Pregnancy is one of the most important processes for mammals, which is deeply controlled by the immune system. We performed NanoString Immune Transcriptome to profile erythroid cells from mouse placentas from semi-allogeneic and syngeneic pregnancies at E12.5 and E19.5 to elucidate the differences between these types of pregnancies.

2025-05-01 | GSE289020 | GEO

Multi-omics analysis identifies erythroid cells as the major immunoregulatory population in mouse placentas

Project description:This SuperSeries is composed of the SubSeries listed below.

2025-05-01 | GSE289175 | GEO

Immunoregulatory function of peripheral blood CD71+ erythroid cells in pediatric inflammatory diseases

Project description:Immunoregulatory function of peripheral blood CD71+ erythroid cells in pediatric inflammatory diseases

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Immunoregulatory potential of erythroid nucleated cells induced from CD34+ progenitors from bone marrow

Project description:Immunoregulatory potential of erythroid nucleated cells induced from CD34+ progenitors from bone marrow

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Immunoregulatory function of peripheral blood CD71+ erythroid cells in pediatric inflammatory diseases

Project description:Human CD71+ erythroid cells (CECs) have been recognized to have an immunoregulatory function via direct cell-cell interaction and soluble mediators such as arginase-2 and reactive oxygen species. Circulating CECs increase in healthy newborns or patients with hemolytic, malignant and cardiopulmonary disorders. To assess the pathophysiological role of CECs in inflammatory diseases, we studied the gene expression and function focusing on systemic-onset juvenile idiopathic arthritis (SoJIA). Peripheral blood mononuclear cells obtained from patients with SoJIA expressed upregulated erythropoiesis-related genes, that determined the largest increase of circulating CECs during active phase SoJIA of all inflammatory diseases including polyarthritis, Kawasaki disease, bacteremia and systemic lupus erythematosus. Despite the opposite roles of erythropoietin and hepcidin in erythropoiesis, both serum levels positively correlated with the amounts of peripheral blood CECs in SoJIA patients. There were positive correlations between CECs and inflammatory markers of C-reactive protein, interleukin (IL)-6, IL-18, or soluble TNF receptor. Co-culture with active SoJIA-driven CECs significantly suppressed the secretion of IL-1β, IL-6, and IL-8 from healthy donor monocytes. The top of upregulated genes in SoJIA-driven CECs was ARG2 compared with those in CECs from cord blood controls. On the other hand, cytokine productions from monocytes were suppressed by co-culture even with an arginase inhibitor. CECs are mobilized to periphery in SoJIA for the control of excessive inflammation via the immuno-regulatory pathways partly involving arginase-2. Understanding the association between CECs and magnitude of systemic inflammation may clarify the unappreciated role of erythroid precursors in health and disease process of immune dysregulation.

2021-07-20 | GSE164120 | GEO

Population snapshots predict early haematopoietic and erythroid hierarchies

Project description:The formation of red blood cells begins with the differentiation of multipotent haematopoietic progenitors. Reconstructing the steps of this differentiation represents a general challenge in stem-cell biology. Here we used single-cell transcriptomics, fate assays and a theory that allows the prediction of cell fates from population snapshots, to demonstrate that mouse hematopoietic progenitors differentiate through a continuous, hierarchical structure into seven blood lineages. We uncovered coupling between the erythroid and the basophil or mast cell fates, a global haematopoietic response to erythroid stress and novel growth factor receptors that regulate erythropoiesis. We defined a flow cytometry sorting strategy to purify early stages of erythroid differentiation, completely isolating classically defined burst-forming and colony-forming progenitors. We also found that the cell cycle is progressively remodelled during erythroid development and during a sharp transcriptional switch that ends the colony-forming progenitor stage and activates terminal differentiation. Our work showcases the utility of linking transcriptomic data to predictive fate models, and provides insights into lineage development in vivo.

2018-02-21 | GSE89754 | GEO

Single-cell multiomics reveals stage of differentiation and trajectory-dependent immunity-related gene expression patterns in human erythroid cells

Project description:Erythroid cells, serving as progenitors and precursors to erythrocytes responsible for oxygen transport, exhibit a notable immunosuppressive and immunoregulatory phenotype. The present study CITE-seq reveals that erythroid cells have stage of differentiation-dependent immunity-related gene expression patterns. We also found that Erythroid cell differentiation is not linear and there is a bifurcation of polychromatophilic erythroblasts into ARG1 expressing polychromatophilic erythroblasts and orthochromatophilic erythroblasts. ARG1 expressing polychromatophilic erythroblasts account for almost all immunosuppressive ARG1 gene expression among erythroid cells. Thus, we infer the stepwise erythroid cells differentiation trajectory that has a branch that forms immunosuppressive erythroid cell population.

2024-03-20 | GSE261733 | GEO

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