Transcriptomic Profiling of Immune Cells in Murine Polymicrobial Sepsis
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1051532 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR27185424.fastq.gz | Fastqsanger.gz | |||
| SRR27185425.fastq.gz | Fastqsanger.gz | |||
| SRR27185426.fastq.gz | Fastqsanger.gz | |||
| SRR27185427.fastq.gz | Fastqsanger.gz | |||
| SRR27185428.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 8 |
Similar Datasets
Project description:Introduction: Various immune cell types play critical roles in sepsis with numerous distinct subsets exhibiting unique phenotypes even within the same cell population. In this study, we have unveiled the transcriptomic landscape of immune cells in sepsis through single-cell RNA sequencing (scRNA-seq) analysis. We induced sepsis in mice by cecal ligation and puncture. 20 h after the surgery, the spleen and peritoneal lavage were collected. Single-cell suspensions were processed using a 10× Genomics pipeline and sequenced on an Illumina platform. Count matrices were generated using the CellRanger pipeline, which maps reads to the mouse reference transcriptome, GRCm38/mm10. Subsequent scRNA-seq analysis was performed using the R package Seurat. Results: After quality control, we subjected the entire data set to unsupervised classification.Four major clusters were identified as neutrophils, macrophages, B cells, and T cells according to their putative markers. Based on the differentially-expressed genes, we identified activated pathways in sepsis for each cell type. In neutrophils, pathways related to inflammatory signaling, such as NF‐κB and responses to pathogen-associated molecular patterns (PAMPs), cytokines and hypoxia were activated. In macrophages, activated pathways were the ones related to cell aging, inflammatory signaling and responses to PAMPs. In B cells, pathways related to endoplasmic reticulum stress were activated. In T cells, activated pathways were the ones related to inflammatory signaling, responses to PAMPs, and acute lung injury. Next, we further classified each cell type into subsets. Neutrophils consisted of four clusters. Some subsets were activated in inflammatory signaling or cell metabolism, while others possessed immunoregulatory or aging properties. Macrophages consisted of four clusters, including the ones with enhanced aging, lymphocyte activation, extracellular matrix organization, or cytokine activity. B cells consisted of four clusters, including the ones possessing the phenotype of cell maturation or aging. T cells consisted of six clusters, whose phenotypes include molecular translocation or cell activation. Conclusions: Transcriptomic analysis by scRNA-seq has unveiled a comprehensive spectrum of immune cell responses and distinct subsets in the context of sepsis. These findings are poised to enhance our understanding of sepsis pathophysiology, offering avenues for targeting novel molecules, cells, and pathways to combat infectious disease.
2024-01-09 | GSE249975 | GEO
Project description:IntroductionVarious immune cell types play critical roles in sepsis with numerous distinct subsets exhibiting unique phenotypes even within the same cell population. Single-cell RNA sequencing (scRNA-seq) enables comprehensive transcriptome profiling and unbiased cell classification. In this study, we have unveiled the transcriptomic landscape of immune cells in sepsis through scRNA-seq analysis.MethodsWe induced sepsis in mice by cecal ligation and puncture. 20 h after the surgery, the spleen and peritoneal lavage were collected. Single-cell suspensions were processed using a 10× Genomics pipeline and sequenced on an Illumina platform. Count matrices were generated using the Cell Ranger pipeline, which maps reads to the mouse reference transcriptome, GRCm38/mm10. Subsequent scRNA-seq analysis was performed using the R package Seurat.ResultsAfter quality control, we subjected the entire data set to unsupervised classification. Four major clusters were identified as neutrophils, macrophages, B cells, and T cells according to their putative markers. Based on the differentially expressed genes, we identified activated pathways in sepsis for each cell type. In neutrophils, pathways related to inflammatory signaling, such as NF-κB and responses to pathogen-associated molecular patterns (PAMPs), cytokines, and hypoxia were activated. In macrophages, activated pathways were the ones related to cell aging, inflammatory signaling, and responses to PAMPs. In B cells, pathways related to endoplasmic reticulum stress were activated. In T cells, activated pathways were the ones related to inflammatory signaling, responses to PAMPs, and acute lung injury. Next, we further classified each cell type into subsets. Neutrophils consisted of four clusters. Some subsets were activated in inflammatory signaling or cell metabolism, whereas others possessed immunoregulatory or aging properties. Macrophages consisted of four clusters, namely, the ones with enhanced aging, lymphocyte activation, extracellular matrix organization, or cytokine activity. B cells consisted of four clusters, including the ones possessing the phenotype of cell maturation or aging. T cells consisted of six clusters, whose phenotypes include molecular translocation or cell activation.ConclusionsTranscriptomic analysis by scRNA-seq has unveiled a comprehensive spectrum of immune cell responses and distinct subsets in the context of sepsis. These findings are poised to enhance our understanding of sepsis pathophysiology, offering avenues for targeting novel molecules, cells, and pathways to combat infectious diseases.
| S-EPMC10853340 | biostudies-literature
Project description:To describe the transcriptional changes associated with polymicrobial-sepsis induced myocardial depression in wild type and iNOS deficient mice. Keywords: myocardium, contractility, differential gene expression, nitric oxide synthase, infection We compared the transcriptional profile of C57/BL6 WT mice and congenic B6 129P2-Nos2tm1Lau/J mice after 48 hrs of polymicrobial sepsis induced by caecal ligation and perforation. 48 hours after surgery, mice were anaesthetised (intraperitoneal 100 mg/kg ketamine and 10 mg/kg xylazine). The right common carotid artery was cannulated (Millar Mikro-Tip pressure transducing catheter: 1.4F sensor, 2F catheter; Houston TX). Pressure tracings from the aorta and left ventricle were recorded (SonoLAB software; Sonometrics Corp., London Ontario Canada) and analysed using Cardiosoft and Origin 6.0 (Sonometrics Corp., and Microcal Software, Northampton MA). The heart was removed, emptied of blood, and snap frozen.
2010-11-17 | E-GEOD-9667 | biostudies-arrayexpress
Project description:We systematically assessed the transcriptomic changes of heart biopsies of mice that had undergone polymicrobial sepsis. Data indicate strong cardiac in vivo responses during murine sepsis affecting a large amount of pathways and categories including cytokines, mitochondria, immune system and cardiomyocytes.
2015-09-01 | GSE53007 | GEO
Project description:To describe the transcriptional changes associated with polymicrobial-sepsis induced myocardial depression in wild type and iNOS deficient mice. Keywords: myocardium, contractility, differential gene expression, nitric oxide synthase, infection
2010-11-17 | GSE9667 | GEO
Project description:We systematically assessed the transcriptomic changes of livers of MxCreFthD/D vs. Fthlox/lox mice after induction of polymicrobial sepsis using Cecal Ligation and Puncture. Data indicates a distinct set of genes differentially regulated between MxCreFthD/D and Fthlox/lox mice after sepsis induction reflecting altered iron and glucose metabolism.
2017-08-15 | GSE92703 | GEO
Project description:Transcriptional effects in circulating leukocytes from mice challenged to peritoneal contamination and infection (PCI) compared to sham (vehicle control). We gratefully acknowledge the BMBF grant for the Center for Sepsis Control and Care (CSCC) for this study
2017-09-01 | GSE36608 | GEO
Project description:Plasma exosomal miRNAs microarray in polymicrobial sepsis
| PRJNA480304 | ENA
Project description:The aim of this series of experiments was to gain experience in sepsis gene expression profiling in a well-accepted model of murine polymicrobial abdominal sepsis and begin characterizing (in the parlance of genomics) the sepsis "transcriptome." DESIGN: Prospective animal study. SETTING: University-based animal research facility.SUBJECTS C57BL/6 mice. INTERVENTIONS: After induction of general anesthesia, cecal ligation and puncture were performed to induce peritonitis and polymicrobial sepsis. The control group had sham laparotomy only. Three samples of spleen and liver were collected from septic and sham animals at 24 hrs after laparotomy. Changes in expression were measured for 588 annotated mouse genes by using a commercially available complementary DNA microarray kit. MEASUREMENTS AND MAIN RESULTS: Broad-scale gene expression profiles were characterized for septic liver and spleen and compared with sham controls. The analytical tools used included commercially available software packages and a novel analysis program. Very little overlap was observed in the septic gene expression profiles of these two organs. Most of the genes identified have previously been linked to regulation of the inflammatory response; importantly, however, some have not. In addition, hierarchical cluster analysis showed that cecal ligation and puncture at 24 hrs induced coordinate expression of genes that alter cell signaling and survival pathways in spleen, consistent with previously published reports of sepsis-induced splenocyte apoptosis. The current limitations of microarray analysis as reflected in these studies are also discussed. CONCLUSIONS: Microarray technology provides a powerful new tool for rapidly analyzing tissue-specific changes in gene expression induced by sepsis in animal models. Keywords: other
2003-07-16 | GSE510 | GEO
Project description:To investigate the importance of IL-3 during the pulmonary response to HSV infection after initial polymicrobial sepsis
2023-02-08 | GSE224299 | GEO