Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Alignment of different types of resting or murine cytomegalovirus-activated mononuclear phagocytes across different datasets

ABSTRACT: The goal of this experiment was to use global gene expression profiling to assess the global genetic reprogramming of different types of splenic mononuclear phagocytes early after MCMV infection in vivo. This study includes new samples (GSM3178486-GSM3178497; available below) profiling splenic CD11b+ conventional dendritic cells (cDC2), classical monocytes (cMo) and red pulp macrophages (RPM) from untreated or day 1.5 MCMV-infected mice together with re-analysis of previously published data in order to examine the similarities in the pDC gene expression profiles across datasets. The complete processed data for all analyzed samples, with and without batch correction, are available at the foot of this series. Included is a text file with a list of all re-analyzed samples and data processing protocols for the re-analysis.

ORGANISM(S): Mus musculus

PROVIDER: GSE115450 | GEO | 2018/08/23

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Single Cell Gene Expression and ATAC-seq of Mouse Brain Following Multiple Infections with Murine Cytomegalovirus (MCMV)

Project description:Evidence supporting the role of pathogen exposure in the development of dementia has been mounting for decades. We used murine cytomegalovirus (MCMV) as our model pathogen. We repeated infected mice every 3 months modeling the re-activation/re-infection with MCMV that occurs throughout life. We used Multiome ATAC-seq and RNA-seq to examine changes to the brain of infected animals.

2024-02-01 | GSE220848 | GEO

Single-cell analysis of mouse plasmacytoid dendritic cells (pDCs) unravels their activation trajectory and their molecular regulation in vivo during a viral infection [FB5P-seq_C57Bl6]

Project description:The aim of the project is to understand the heterogeneity of murine plasmacytoid dendritic cells (pDC) for interferon I production. For this end we want to perform RNAseq on splenic pDC at ground state and also after infection of mice with MCMV at different time points.

2020-07-07 | GSE151244 | GEO

Mus musculus

Project description:Whole Genome microarray analysis BMDMs from cmo (Pstpip2 functional knockout), cmo IL1R+/-, and cmo IL-1R-/- mice.

| PRJNA368956 | ENA

Application of text mining to build AOP-based mucus hypersecretion genesets and validation with in vitro and clinical samples

Project description:Purpose: Build genesets using text mining and validate the geneset with data from public repository and a dataset generated in house using in vitro models and RNA-seq Methods: Mucus hypersecretion and mucociliary dysfucntion adverse outcome pathways (AOPs) genesets were build using the text mining method described by Rani et al., 2015. Validation was performed using RNA expression data from cigarette and e-cigarette aerosol treated cells, IL-13 treated airway cells, and COPD-lung biopsies. The cigarette and e-cigarette aerosol RNA-samples from airway cells were generated and sequenced in house. The other dataset were publically available. Results: Using unsupervised clustering, the mucus hypersecretion and mucociliary dysfunction genesets were able to discriminate the cigartte treated cells from the e-cigarettes and the air control. The e-cigarette and the air control clustered together. Clustering was also observed with IL-13 treated cells. IL-13 is an induced of mucus hypersecretion. Clustering was not observed when COPD RNA-seq samples were used. PCA analysis revealed some degree of grouping based on disease status, but this was also heavily confounded by other parameters. Conclusions: Our study described the first application of text mining to build genesets relevant to AOPs. In vitro validation confirmed the genesets could discriminates between treatment that induce mucus hypersecretion phenotypes, however this could not be confirmed with COPD biopsy samples. This could be due to a series of technical confouding factors and the heterogeneity of the COPD disease.

2020-04-30 | GSE142100 | GEO

Analysis of early dendritic cell, natural killer cell and B lymphocyte responses to murine cytomegalovirus (MCMV) infection by genome-wide expression profiling

Project description:Dendritic cells (DCs) are a complex group of cells which play a critical role in vertebrate immunity. They are subdivided into conventional DC (cDC) subsets (CD11b and CD8alpha in mouse) and plasmacytoid DCs (pDCs). Natural killer cells are innate lymphocytes involved in the recognition and killing of abnormal self cells, including virally infected cells or tumor cells. DCs and NK cells are activated very early upon viral infections and regulate one another. However, the global responses of DC and NK cells early after viral infection in vivo and their molecular regulation are not entirely characterized. The goal of this experiment was to use global gene expression profiling to assess the global genetic reprogramming of DC and NK cells during a viral infection in vivo, as compared to B lymphocytes, and to investigate the underlying molecular mechanisms This study includes data from cell sort purified DCs, NK cells and B cells isolated from the spleen of MCMV-infected mice. 2 independent replicates were made for each cell type except B cells. The control dataset for cells isolated from uninfected control animals has been previously published and is available in the GEO database as GSE9810. The complete dataset representing: (1) the infected Samples and (2) the uninfected control Samples from Series GSE9810 (re-processed using RMA), is linked below as a supplementary file. Comparison of the gene expression programs of wild-type spleen leukocyte subsets, including plasmacytoid DCs, CD8alpha conventional DCs, CD11b conventional DCs and NK cells, isolated from MCMV-infected versus control animals.

2012-10-17 | E-GEOD-21491 | biostudies-arrayexpress

TEXT-Z

Project description:TEXT-Z

| PRJEB36013 | ENA

Genome-wide expression study of the responses of murine NK cells and dendritic cell subsets to MCMV infection

Project description:Murine Cytomegalovirus (MCMV) infection leads to the activation of various immune cells, including dendritic cells (DCs) and Natural Killer (NK) cells. This activation is partly driven by innate cytokines including IFN-I, which are induced early after infection. The objective was to address the role of different innate cytokines in shaping DC subsets and NK cell responses, in particular the role of cell intrinsic responses to IFN-I. In order to decipher the specific impact of cell-intrinsic IFN-I on cell subsets, we performed a genome-wide expression analysis on CD45.1 WT and CD45.2 IFNAR-/- splenic conventional DC (cDC) subsets and NK cells isolated from C57BL/6 [CD45.1 WT / CD45.2 IFNAR-KO] mixed bone marow chimera mice. This study includes data from cDC subsets (CD8a and CD11b) and NK cells purified by flow cytometry sorting from the spleen of bone marrow chimera (BMC) mice, under steady-state or MCMV condition. Two independent replicates were made for each cell type, from two independent pools of spleens from uninfected or d1.5 MCMV-infected BMC 5-8 mice, and were hybridized on 3 separate batches of gene chips.

2012-10-17 | E-GEOD-39555 | biostudies-arrayexpress

Alignment of different types of resting or murine cytomegalovirus-activated mononuclear phagocytes across different datasets

Project description:Alignment of different types of resting or murine cytomegalovirus-activated mononuclear phagocytes across different datasets

| PRJNA475038 | ENA

Fate mapping of single NK cells identifies a type 1 innate lymphoid-like lineage that bridges innate and adaptive recognition of viral infection [bulk_RNAseq_d8pi]

Project description:Upon viral infection, NK cells expressing certain germline-encoded receptors are selected, expanded and maintained in an adaptive-like manner. Currently, these are thought to differentiate along a common pathway. However, by fate mapping of single NK cells upon murine cytomegalovirus (MCMV) infection, we identified two distinct NK cell lineages that contributed to adaptive-like responses. One was equivalent to conventional NK (cNK) cells while the other was transcriptionally similar to type 1 innate lymphoid cells (ILC1s). ILC1-like NK cells showed splenic-residency and strong cytokine production but also recognized and killed MCMV-infected cells, guided by activating receptor Ly49H. Moreover, they induced clustering of conventional type 1 dendritic cells and facilitated antigen-specific T cell priming early during MCMV infection, which depended on Ly49H and the NK cell-intrinsic expression of transcription factor Batf3. Thereby, ILC1-like NK cells bridge innate and adaptive viral recognition and unite critical features of cNK cells and ILC1s.

2021-08-25 | GSE180974 | GEO

Fate mapping of single NK cells identifies a type 1 innate lymphoid-like lineage that bridges innate and adaptive recognition of viral infection [bulk_RNAseq_steady_state]

2021-08-25 | GSE180973 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data