Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Identification of novel regulators of Th2 cells in HDM model (RNA-Seq)

ABSTRACT: Naïve CD4 T cells differentiate into functionally diverse subsets of T helper (Th) cells. Gene expression profiling has the capacity to pinpoint factors that regulate subset differentiation and function, however obtaining transcriptional profiles of pure populations has been challenging. We performed single cell RNA-Sequencing (scRNA-Seq) of T helper cells from lymph node, lung and airways in a mouse model of asthma. scRNA-Seq resolved transcriptional profiles of naïve CD4 T, Th1, Th2, Treg cells and various activated states including a population responding to type I interferons. A trajectory for Th2 cell differentiation was delineated over time, with Th2 cells acquiring follicular T helper cell characteristics in the lung-draining lymph node before undergoing further modifications in the lung. A feature of airway Th2 cells was their enrichment for genes associated with lipid metabolism and experiments with blockers of key metabolic pathways supported roles for glucose and lipid metabolism in Th2 cell differentiation.

ORGANISM(S): Mus musculus

PROVIDER: GSE131935 | GEO | 2019/06/20

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Identification of novel regulators of Th2 cells in HDM model (ATAC-Seq)

Project description:Naïve CD4 T cells differentiate into functionally diverse subsets of T helper (Th) cells. Gene expression profiling has the capacity to pinpoint factors that regulate subset differentiation and function, however obtaining transcriptional profiles of pure populations has been challenging. We performed single cell RNA-Sequencing (scRNA-Seq) of T helper cells from lymph node, lung and airways in a mouse model of asthma. scRNA-Seq resolved transcriptional profiles of naïve CD4 T, Th1, Th2, Treg cells and various activated states including a population responding to type I interferons. A trajectory for Th2 cell differentiation was delineated over time, with Th2 cells acquiring follicular T helper cell characteristics in the lung-draining lymph node before undergoing further modifications in the lung. A feature of airway Th2 cells was their enrichment for genes associated with lipid metabolism and experiments with blockers of key metabolic pathways supported roles for glucose and lipid metabolism in Th2 cell differentiation.

2019-06-20 | GSE131937 | GEO

Spatial microniches of IL-2 synergize with IL-10 to drive lung migratory Th2 cells in response to inhaled allergen [Spatial transcriptomics]

Project description:The mechanisms that guide Th2 cell differentiation in barrier tissues are unclear but important for the development of allergic asthma. Using temporal, spatial and single cell transcriptomic tracking of house dust mite (HDM) specific T cells, we describe the molecular pathways driving allergen-specific Th2 cells. Early Blimp-1 expression occurs in a subset of CD4 T cells in the lymph node prior to lung migration driven by IL-10 from allergen-specific T cells, but was not required for GATA3 upregulation. Instead, IL-2 via STAT5 was required to directly repress Bcl6 and Bach2 to support GATA3 and Blimp-1 upregulation. Loss of Blimp-1 during priming in the lymph node ablated the formation of Th2 cells that migrate to the lung, indicating early Blimp-1 promotes the population of Th2 cells with migratory capability. Spatial microniches of IL-2 in the lymph node discriminate and support these earliest Blimp-1+ migratory Th2 cells, demonstrating that lymph node localization is a primary driver of differentiation. Our findings illuminate the molecular pathways for inhaled allergens to promote Th2 cells and identify an early requirement for IL-2 mediated spatial microniches and allergen-driven IL-10 from responding T cells that drive allergic asthma.

2024-02-20 | GSE245110 | GEO

Spatial microniches of IL-2 synergize with IL-10 to drive lung migratory Th2 cells in response to inhaled allergen [scRNA-Seq]

2024-02-26 | GSE245109 | GEO

Spatial microniches of IL-2 synergize with IL-10 to drive lung migratory Th2 cells in response to inhaled allergen [Curio]

2024-02-20 | GSE245111 | GEO

Proteomic analysis of T cell differentiation

Project description:T helper cells (Th) play an important role guarding, regulating and modulating immune responses. The different Th lineages fulfill different tasks in response to infections. The two best defined subtypes are Th1 (involved in cellular immunity) and Th2 (humoral immunity). The cytokine environment after activation determines the differentiation path of a Th cell. We defined a strategy to investigate the differentiation signature of T helper cells with a proteomics approach. Murine primary naïve CD4+ T-cells from spleen were differentiated and activated in vitro. After 3 days of differentiation proteins were analysed. The proteomic profile of the Th1 and Th2 cells will help understand these phenotypes better, which is important in finding therapeutic targets for disease and for the development of effective vaccines.

2019-02-14 | PXD004532 | Pride

Microarray analyses of lymph node dendritic cells (DCs) stimulated in vitro with papain or LPS

2010-05-05 | GSE21602 | GEO

Expression data from Th2 cell of ECM1 KO mice vs WT mice

Project description:CD4+ helper T cells are critical for immunological response. Th2 cells, a subset of CD4+ helper T cells, are responsible for asthma and other immune diseases. We found a Th2 secreted protein, ExtraCellular Matrix protein 1 (ECM1), which is highly induced by classic IL-4 signaling pathway during helper T cells differentiation. We used microarrays to clarify the global programme of gene expression difference underlying fully developed Th2 cells from WT and ECM1 KO mice and identified distinct classes of up and down regulated genes by ECM1. Naïve CD4+ T cells are seperated from WT and ECM1 mice, cultured and harveseted for RNA extraction and hybridization on Affymetrix microarrays.

2010-12-31 | E-GEOD-19707 | biostudies-arrayexpress

Methylation profiling of mouse T cells reveals epigenetic mechanisms underlie t cell plasticity

Project description:Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-? induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation. Experiment Overall Design: Different T helper subsets are profiled for mRNA expression.

2009-01-16 | E-GEOD-14308 | biostudies-arrayexpress

Microarray analyses of lymph node dendritic cells (DCs) stimulated in vitro with papain or LPS

Project description:T helper type 2 (Th2) responses are induced by protease allergens and helminthes. However the molecular mechanisms that initiate Th2 responses are poorly understood. To obtain insight into this mechanism, we performed a microarray analysis of lymph node DCs stimulated in vitro with the protease allergen papain, or with LPS, a Th1 inducing stimulus. Key words: Th2 response, LPS, dendritic cells, Papain CD11c+ DCs were isolated from the lymph nodes of C57BL/6 mice, and cultured in vitro (1x106 DCs per ml) with 500 3T3-CD40L fibroblasts, either alone, or in the presence of papain (25 µg/ml) or LPS (1 µg/ml). 4h and 17h later, the cells were harvested and RNA isolated and processed for microarray analyses. RNA was extracted and processed from freshly isolated LN DCs. For a given time point, the expression profile of DCs treated with papain or LPS, were compared to that of untreated DCs

2010-05-05 | E-GEOD-21602 | biostudies-arrayexpress

GM-CSF Production by Non-Classical Monocytes Controls Antagonistic LPS-driven Functions In Allergic Inflammation

Project description:Lipopolysaccharide (LPS) can either promote or prevent T helper-2 (Th2) cell-allergic responses. However, the underlying mechanism remains unknown. We show here that LPS activity switches from pro-pathogenic to protective depending on the production of GM-CSF by non-classical monocytes. In the absence of GM-CSF, LPS can favor pathogenic Th2 cell responses by supporting the trafficking of lung migratory dendritic cells (mDC2s) into the lung-draining lymph node. However, when non-classical monocytes produce GM-CSF, LPS and GM-CSF synergize to differentiate monocyte-derived DCs (moDCs) that instruct mDC2s for Th2 cell suppression. Importantly, only allergens with cysteine protease activity trigger GM-CSF production by non-classical monocytes. Hence, the therapeutic effect of LPS is restricted to allergens with this enzymatic activity. Treatment with GM-CSF, however, restores the protective effects of LPS. Thus, GM-CSF produced by non-classical monocytes acts as a rheostat that fine-tunes the pathogenic and therapeutic functions of LPS.

2021-12-06 | GSE186449 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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