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Expression data from classical dendritic cells isolated from mouse lymph nodes

ABSTRACT: Expression data from classical dendritic cells isolated from mouse lymph nodes

PROVIDER: PRJNA435417 | ENA |

REPOSITORIES: ENA

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Expression data from classical dendritic cells isolated from mouse lymph nodes

Project description:Dendritic cells increase expression of pro-inflammatory cytokines and chemokines and undergo metabolic reprogramming upon TLR activation. Mice fed conventional diet (CD) or 60% high-fat diet (HFD) were treated by skin application of imiquimod (IMQ) during 6 days and classical dendritic cells (cDC) were isolated from inguinal lymph nodes (iLN) to reveal inflammatory and metabolic pathways that are sensitive to TLR7/8 activation and a high fatty acid environment. We used microarray to identify pathways in classical dendritic cells from IMQ-treated mice that link inflammation and metabolism in a high fatty acid environment.

2019-06-30 | GSE110963 | GEO

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scRNAseq of stromal cells isolated from mesenteric lymph nodes (MLN), peripheral lymph nodes (PLN) and mandibular lymph nodes (mandLN)

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2022-09-01 | E-MTAB-11644 | biostudies-arrayexpress

ScRNA-seq of dendritic cells from mouse lymph nodes

Project description:Dendritic cells were sorted from Lymph nodes and subject to single-cell sequencing. Gating strategy: CD45+ Lin- (CD3, CD19), F4/80-, CD64-, MHC+, CD11c+.

2021-04-10 | E-MTAB-10196 | biostudies-arrayexpress

miRNA expression in classical Hodgkin lymphoma diseased nodes

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miRNA expression in classical Hodgkin lymphoma diseased nodes

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ScRNA-seq of dendritic cells from mouse lymph nodes

Project description:ScRNA-seq of dendritic cells from mouse lymph nodes

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RNA sequencing of murine conventional dendritic cell lineage 1 (cDC1) cells from mesenteric lymph nodes

Project description:A gene expression profile of the conventional dendritic cell lineage 1 from murine mesenteric lymph nodes (MLN) were constructed based on RNA-seq from nine biological biopsies. The gene expression profile was afterwards used to infer (in silico) a cDC1-specific protein-protein interactome.

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Human melanoma-derived extracellular vesicles reprogram dendritic cells potentially enabling lymph node metastases

Project description:Evolution of melanoma from a primary tumor to widespread metastasis is crucially dependent on lymphatic spread. The mechanisms regulating the initial step in metastatic dissemination via regional lymph nodes remain largely unknown. We have previously described a dysfunctional immune profile that precedes evidence of metastasis in the first node draining from the primary tumor, the sentinel lymph node (SLN). Herein, we explore the role of melanoma-derived extracellular vesicles (EVs) as mediators of this pre-metastatic niche through cargo-specific polarization of dendritic cells (DCs). Utilizing mass cytometry, pre-metastatic SLNs demonstrate compromised co-stimulatory CD80 expression compared to healthy lymph nodes. Similarly, DCs matured in vitro in the presence of melanoma EVs showed impaired co-stimulation and polarization towards a chronic inflammatory cytokine milieu. Profiling of melanoma EV cargo identified shared proteomic and RNA signatures including the signaling axis S100A8, S100A9 and cognate receptor TLR4. Mechanistically, S100A8 and S100A9 compromised DC maturation, a phenotype which was partially recovered following TLR4 blockade. Early evidence demonstrates similar EVs can be isolated from human afferent lymphatic fluid ex vivo. Taken together, we propose synergistic interactions among melanoma EV cargo are responsible for suppressing DC maturation, potentially explaining the survival of malignant melanocytes metastasizing into seemingly “normal” regional lymph nodes.

2018-10-26 | PXD005539 | Pride

Expression data from CD4+ T cells isolated from inguinal lymph nodes 7 days post MOG immunization

Project description:We isolated CD4+ T cells from draining lymph nodes 7 days post EAE from DA rats treated with vitamin D supplemented, vitamin D deprived or regular diet

2017-02-01 | GSE92680 | GEO

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